The invention relates generally to employing directional antennas placed on structures, such as poles, or buildings, that provide a wireless network for communicating RF signals between user devices and remotely located resources. Further, in some embodiments, the directional antennas may be installed at the premises of a customer and coupled to base stations and RF signal repeater devices to manage operation of a millimeter wave communications network.
Mobile devices have become the primary mode of wireless communication for most people throughout the world. In the first few generations of wireless communication networks, mobile devices were generally used for voice communication, text messages, and somewhat limited internet access. Newer generations of wireless communication networks have increased bandwidth and lowered latency enough to provide substantially more services to mobile device users, such as purchasing products, paying invoices, streaming movies, playing video games, online learning, dating, and more. Also, for each new generation of wireless communication network, the frequency and strength of the wireless signals are generally increased to provide even more bandwidth with less latency.
Unfortunately, the higher a frequency of a wireless signal, the greater the attenuation of wireless signals passing through physical barriers and over shorter distances than lower frequency wireless signals. Moreover, since the recent rollout of 5th generation (5G) wireless communication networks that can use wireless signals with millimeter waveforms at gigahertz frequencies, it has become even more difficult to design and install 5G wireless networks that provide optimized access for mobile devices due to these physical barriers.
The present invention now will be described more fully hereinafter with reference to the accompanying drawings, which form a part hereof, and which show, by way of illustration, specific embodiments by which the invention may be practiced. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. Among other things, the present invention may be embodied as methods or devices. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. The following detailed description is, therefore, not to be taken in a limiting sense.
Throughout the specification and claims, the following terms take the meanings explicitly associated herein, unless the context clearly dictates otherwise. The phrase “in one embodiment” as used herein does not necessarily refer to the same embodiment, though it may. Similarly, the phrase “in another embodiment” as used herein does not necessarily refer to a different embodiment, though it may. As used herein, the term “or” is an inclusive “or” operator, and is equivalent to the term “and/or,” unless the context clearly dictates otherwise. The term “based on” is not exclusive and allows for being based on additional factors not described, unless the context clearly dictates otherwise. In addition, throughout the specification, the meaning of “a,” “an,” and “the” include plural references. The meaning of “in” includes “in” and “on.”
The following briefly describes the embodiments of the invention to provide a basic understanding of some aspects of the invention. This brief description is not intended as an extensive overview. It is not intended to identify key or critical elements, or to delineate or otherwise narrow the scope. Its purpose is merely to present some concepts in a simplified form as a prelude to the more detailed description that is presented later.
Briefly stated, various embodiments of the invention are directed to a method, apparatus, or system that provides a suite of devices and software tools executing on a computing device, e.g., a distributed cloud computing platform, a desktop computer, a notebook computer or a mobile device. One or more of the various embodiments of the devices and tools enable a user, such as a carrier, to extend millimeter wave coverage for wireless communication networks while reducing costs and optimizing coverage for different environments. In one or more of the various embodiments, the devices may include outdoor network repeaters, e.g., the Pivot 5G™, and indoor subscriber repeaters, e.g., the Echo 5G™. Also, in one or more embodiments, the software tools may include a beam management system, e.g., Pivotal Commware's Intelligent Beam Management System (IBMS), and an application, e.g., WaveScape™, for modeling and optimizing the placement of the Pivot 5G, Echo 5G, and other mmWave network transmitter devices in a mmWave network. In one or more of the various embodiments, WaveScape may orchestrate the other tools and devices by allowing carriers to plan their mmWave networks and quantify both the physical and economic impact each component has on the network.
Millimeter wave (mmWave) communication networks can deliver on low-latency applications that subscribers expect from 5G and on the capacity that carriers need to deliver for their subscribers. Limited line-of-sight (LOS) conditions and propagation challenges associated with mmWave dictate denser networks than ever before, and significant planning is required to balance densification with responsible capex. Legacy macro cell planning tools are not up to the task of modeling the small cell deployments, and many of the fundamental assumptions break down when simulating mmWave. To fully unlock the potential of this spectrum, carriers need an accurate and scalable modeling tool that is built natively on the physics of mmWave.
In some approaches, a mmWave ecosystem of products extends millimeter wave coverage at a fraction of the cost of gNB-only networks. This ecosystem can include at least two types of smart repeaters (an outdoor network repeater such as the Pivot 5G and an indoor subscriber repeater such as the Echo 5G), plus an internet-of-things (IoT) management system such as the Intelligent Beam Management System (IBMS), plus a software solution (hereinafter referred to as WaveScape) for modeling and optimizing the placement of Pivot 5G, Echo 5G, and all other mmWave network transmitters. WaveScape orchestrates this ecosystem, allowing users to plan their mmWave networks and quantify both the physical impact and efficiency of each component of the network.
In some approaches WaveScape is a network planning platform built with the needs of 5G mmWave and Fixed Wireless Access (FWA) at its core. It can model any set of network elements, including network repeaters such as holographic beamforming (HBF) network repeaters, and allows users to explore the tradeoffs different network deployment strategies. Furthermore, WaveScape can ingest high resolution GIS data, utilize propagation models such as 3GPP propagation models, and run natively in the cloud. This allows it to make accurate and deterministic predictions with near-infinite scalability.
FWA QUALIFICATION: WaveScape can ingest the network elements that have been deployed within a region as well as the physical layout of that region. The tool then identifies buildings that likely-subscribers occupy and determines the coverage level within and just outside the building, thus allowing carriers to qualify them for FWA based on minimum signal-level, antenna beamwidth, and placement requirements of different customer premise equipment (CPE).
NETWORK PLACEMENT OPTIMIZATION: WaveScape can allow users to set coverage targets for a region—which can be based on FWA scenarios or mobility scenarios. By ingesting utility poles, lampposts, and public building corners that a carrier may have access to, the tool can recommend placement and orientation of new network elements (including, e.g., Echo 5G, Pivot 5G, gNBs, or other equipment in use by the carrier) to reach a given target coverage level. Furthermore, the tool can dynamically ingest and re-optimize based on updated real estate requirements, new target metrics, and newly deployed equipment. Recommendations can be based on efficiency per incremental coverage basis, and the tool allows users to update and refine their efficiency models.
DEPLOYMENT STRATEGY & UNIT EFFICIENCY EXPLORATION: WaveScape allows carriers to explore different hypothetical deployment scenarios so they can uncover the most effective deployment strategy for a specific region. By tracking the incremental coverage of each network element, a carrier will be able to select efficient coverage targets for each region. Furthermore, WaveScape's ability to ingest specifications for any network element allows carriers to compare the efficiency features of all available equipment—including, e.g., both Pivot 5G and Echo 5G equipment.
Illustrative Scenario
With reference now to
In the illustrative scenario of
In the illustrative scenario, the wireless base station 110 can directly provide service to premises 101 and 102 via lines of sight 121 and 122. The wireless base station 110 also has a direct line of sight 123 with premises 103; however, given the relatively oblique angle of incidence between line of sight 123 and window 103A, it may be desirable, in some approaches, to install a window repeater 103B in window 103A. In general, the Wavescape platform may recommend placement of a window repeater when the signal strength is sufficiently low and/or when the angle of incidence is sufficiently oblique.
Generally speaking, a window repeater, such as element 103B in
In the illustrative scenario of
The WaveScape platform may recommend placement of an open-air repeater 141 to provide coverage to the premises 104. For example, having ingested geographic information that includes information about the locations of posts, poles, building corners, or other structures suitable for placement of open-air repeaters, the WaveScape platform may recommend placement of open-air repeater 141 on structure 141A, which could be a post, pole, building corner, or any other structure suitable for installation of an open-air repeater.
Generally speaking, an open-air repeater, such as element 141 in
In the illustrative scenario of
As a first validation of the utility of the WaveScape platform, a multiple-dwelling unit (MDU) was identified and targeted for fixed wireless access in each dwelling unit. The identified MDU is ten stories high and contains 70 units (7 units per floor). All units have a window on the west side of the building.
Wavescape models the baseline coverage of the gNBs and predicts both mobility coverage and FWA qualification. Using 3GPP propagation models on the highest-available resolution GIS data, the tool sees that while the northern face of the building has coverage, most of the potential subscribers (having windows on the west side of the building) are left in the dark. This prediction is validated by live measurements in the field, showing little to no coverage on the west face of the building.
WaveScape then ingests all the lampposts, utility poles, building corners, and any other locations in the area where open-air repeaters (e.g., Pivot repeaters) can be mounted. It then automatically calculates which of these candidate locations have adequate signal for the open-air repeaters to repeat, ensuring the repeaters' effectiveness. In this scenario, WaveScape has determined that the pole closer to the MDU does not have line of sight to the gNB, and thus is not eligible for an open-air repeater, but the poles across the street and to the southwest of the building do have sufficient coverage.
Now that WaveScape has found two poles in the area where a Pivot can be placed, it optimizes the configuration and orientation of the repeaters to provide maximum coverage at the least cost. WaveScape has found a configuration where only one of the poles is needed to provide coverage, saving the cost of an extra repeater on the other pole for the carrier.
When WaveScape's recommended configuration was put to the test at this MDU, its coverage level predictions were accurate, and it correctly qualified 100% of the units on the west face of the building.
As a second validation of the utility of the WaveScape platform, a 1.5 square mile polygon containing 29 gNBs and 4900 potential subscribers was identified and targeted for fixed wireless access in each dwelling unit.
As was done in the previous example, WaveScape ingests all gNodeB locations and orientations within the polygon. It then evaluates mmWave coverage based on 3GPP models and high-resolution GIS data. This modeling calculation identified 1700 units with adequate coverage for FWA, or 35% of all dwelling units within the polygon.
To boost FWA enablement and mobility coverage, existing utility poles were made available by the local power company to mount open-air repeaters (e.g. Pivot repeaters). The locations and heights of over 5000 poles within the polygon were ingested by WaveScape. WaveScape identified 1750 poles that are covered by the existing gNBs. WaveScape also accounts for “two hop” scenarios, where a gNB provides coverage to a repeater, which then provides coverage to a second repeater thus further extending the network range and allowing the tool to qualify an additional 1250 poles (a “two hop” scenario is schematically depicted for repeater 143 in
WaveScape can allow the user to define an optimal deployment strategy logic by looking at outdoor coverage, FWA enablement, and/or indoor coverage. In the present example, the network is optimized for FWA enablement using window repeaters (e.g. Echo repeaters) as customer premises equipment (CPE). With this optimization goal, WaveScape utilizes cloud computing to determine the optimal repeater locations and orientations based on the coverage outcomes. In some approaches, WaveScape can be a cloud-native application with near-infinite scalability to optimize coverage for polygons of any shape or size. Out of the more than 3000 eligible open-air repeater locations available in this scenario, WaveScape selected 171 open-air repeater locations, which allowed for 90% of units within the polygon to be enabled for FWA.
Some premises (shaded as “gNB only”) receive service directly via communication with the gNB. These are analogous to premises 101 and 102 in the schematic example of
Efficiency Analysis
By tracking the individual contributions of each gNB and repeater within the network, WaveScape can compare the number of repeaters needed to achieve different target coverage levels. For the polygon of Example 2, alongside the 29 gNB, 56 open-air repeaters were required to reach 70% coverage, while 171 open-air repeaters were required to reach 90% coverage, meaning that it may be more efficient to target 70% coverage for this polygon.
In some approaches, WaveScape can be used to test many different hypothetical scenarios. For example, by removing the 5 least impactful gNBs from the polygon being considered, 70% coverage required 24 gNBs+63 open-air repeaters. While more Pivots are required than in the 29 gNB scenario, trading 5 gNBs for 7 Pivots was a more efficient deployment strategy overall.
With reference now to
In one efficiency scenario, the 5 least effective gNBs are removed. Then, with 24 gNBs already deployed, the squares indicate the additional coverage obtained by adding open-air repeaters. Again, it can be seen that adding the open-air repeaters increases the total cost of deployment, but with greater incremental improvement in coverage percentage compared to, say, adding the 24th gNB.
Taking this further, in another efficiency scenario, the 10 least effective gNBs are removed. Then, with 19 gNBs already deployed, the stars indicate the additional coverage obtained by adding open-air repeaters. Again, it can be seen that adding the open-air repeaters increases the total cost of deployment, but with greater incremental improvement in coverage percentage compared to, say, adding the 19th gNB.
The diamond, square, and star plots illustrate the trend of greater efficiency when fewer gNBs are previously deployed and WaveScape can optimize locations of more open-air repeaters. Taking this to a logical extreme, in one approach, no gNBs are previously deployed and WaveScape can optimize the locations of both the gNBs and the open-air repeaters. This can be referred to as a “green field” optimization of coverage for a selected set of potential subscribers in a selected service area such as the polygon of Example 2. In
Process Flows
With reference now to
The process 500 further includes operation 520—identifying locations of one or more wireless base stations for the mmW communications or recommending locations of one or more wireless base stations for the mmW communications. If the operation includes identifying these locations, the identifying can include receiving a catalog of locations and orientations of previously-installed wireless base stations, e.g., gNBs. If the operation includes recommending these locations, the recommending can include recommending locations of wireless base stations, e.g., gNBs, to optimize coverage within a desired service area. For example, the operation can include recommending locations and orientations of gNBs according to a “green field” optimization algorithm as discussed above.
The process 500 further includes operation 530—recommending placements of repeaters to deliver signals between one or more wireless base stations and the one or more potential recipients. For example, the operation can include recommending placements of open-air repeaters 141, 142, and 143 and placements of window repeaters 103B, 107B, and 109B as in
Operation 530 can include sub-operation 5310—receiving geographical information about a region that encloses the one or more wireless base stations and the one or more potential recipients. For example, sub-operation 5310 can include ingesting geographical information from a geographical information system (GIS) database. The GIS database can include, e.g., information about the ground topography, the footprints and heights of buildings or other man-made structures, and the locations and heights of trees or other vegetation. The GIS database information can include information about, e.g., density or species of vegetation, building materials (e.g., whether a building is wood frame or concrete-and-steel), locations of roads, building uses (e.g., whether a building is residential or commercial or mixed-use), population density, and local internet connective speeds.
Sub-operation 5310 can include sub-sub-operation 5311—receiving information about the locations of posts, poles, building corners, or other structures suitable for placement of open-air repeaters. For example, the GIS database can include information about the locations of posts, poles, corners, etc., or the GIS database can be supplemented with a catalog of this information, or machine learning algorithms can be used to identify potential locations of posts, poles, corners, etc. The received information about the locations of posts, poles, corners, etc. can include zoning, regulatory, and/or utility information about the availability and suitability of these locations for placement of open-air repeaters. The received information can include, e.g., information about the height, previously-installed equipment, comm-zone availability, and ownership of a given pole. In some approaches, the received information can include information about regions where a pole is not presently installed but could be installed.
Sub-operation 5310 can include sub-sub-operation 5312—receiving information about the locations and/or orientations of windows suitable for placement of window repeaters. For example, the GIS database can include information about the coordinates, altitudes, and orientations of windows on buildings (commercial buildings, single dwelling units, and multiple dwelling units), or the GIS database can be supplemented with a catalog of this information, or machine learning algorithms can be used to identify windows on buildings. The received information about windows can include information about, e.g., the field of view from the window into the premises (e.g., whether the window is a bedroom window or a living room window) and information about the wireless signal transmissibility of the window (e.g., whether the window is low-E glass).
Operation 530 can include sub-operation 5320—using the received geographical information to determine line of sight regions for the wireless base stations and/or the open-air repeaters. For example, the geographical information can include information about buildings or other man-made structures that can impede the line of sight of a wireless base station or open-air repeater. This can be especially relevant in dense urban environments, where city streets or avenues can be “urban canyons” that severely limit the line of sight of a given wireless base station or open-air repeater. The geographical information can also include information about natural terrain or foliage that can impede the line of sight of a wireless base station or open-air repeater.
Operation 530 can include sub-operation 5330—using a wireless propagation model to determine signal strength with the line of sight regions for the wireless base stations and/or the open-air repeaters. For example, the operation can include using a 3GPP or other propagation model to account for attenuation due to distance, terrain, foliage, etc. Thus, the wireless propagation modelling can determine, e.g., the strength of a signal transmitted by a gNB base station and received by an open-air or window repeater, or the strength of a signal transmitted by a first open-air repeater and received by a window repeater or second open-air repeater.
Operation 530 can include sub-operation 5340—selecting one or more locations for placement of the open-air repeaters. For example, the operation can include selecting locations for the placements of open-air repeaters 141, 142, and 142 in
Operation 530 can include sub-operation 5350—selecting one or more locations for placement of the window repeaters. For example, the operation can include selecting placements of window repeaters 103B, 107B, and 109B on windows 103A, 107A, and 109A, respectively, in
The process 500 can further include operation 540—installing one or more of the repeaters according to the recommended placements. Thus, the process can include physically installing one or more of the open-air repeaters or window repeaters in the recommended locations.
Illustrative Computation Environment
Computer 650 may include processor 651 in communication with memory 652 via bus 660. Computer 650 may also include power supply 661, network interface 662, audio interface 674, display 671, keypad 672, illuminator 673, video interface 667, input/output interface 665, haptic interface 678, global positioning systems (GPS) receiver 675, open air gesture interface 676, temperature interface 677, camera(s) 667, projector 670, pointing device interface 679, processor-readable stationary storage device 663, and processor-readable removable storage device 664. Computer 650 may optionally communicate with a wireless base station (not shown), an wireless repeater device Snot shown) or directly with another computer. Power supply 661 may provide power to computer 650. A rechargeable or non-rechargeable battery may be used to provide power. The power may also be provided by an external power source, such as an AC adapter or a powered docking cradle that supplements or recharges the battery.
Network interface 662 includes circuitry for coupling computer 650 to one or more networks, and it is constructed for use with one or more wired and/or wireless communication protocols and technologies. Examples of various generations (e.g., third (3G), fourth (4G), or fifth (5G) of communication protocols and/or technologies may include, but are not limited to, Global System for Mobile communication (GSM), General Packet Radio Services (GPRS), Enhanced Data GSM Environment (EDGE), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (W-CDMA), Code Division Multiple Access 2000 (CDMA2000), High Speed Downlink Packet Access (HSDPA), Long Term Evolution (LTE), Universal Mobile Telecommunications System (UMTS), Evolution-Data Optimized (Ev-DO), Worldwide Interoperability for Microwave Access (WiMax), time division multiple access (TDMA), Orthogonal frequency-division multiplexing (OFDM), ultra-wide band (UWB), Wireless Application Protocol (WAP), 5G New Radio (5G NR), 5G Technical Forum (5G TF), 5G Special Interest Group (5G SIG), Narrow Band Internet of Things (NB IoT), user datagram protocol (UDP), transmission control protocol/Internet protocol (TCP/IP), various portions of the Open Systems Interconnection (OSI) model protocols, session initiated protocol/real-time transport protocol (SIP/RTP), short message service (SMS), multimedia messaging service (MMS), or various ones of a variety of other communication protocols and/or technologies.
Audio interface 674 may be arranged to produce and receive audio signals such as the sound of a human voice. For example, audio interface 674 may be coupled to a speaker and microphone (not shown) to enable telecommunication with others or generate an audio acknowledgement for some action. A microphone in audio interface 674 can also be used for input to or control of computer 650, e.g., using voice recognition, detecting touch based on sound, and the like.
Display 671 may be a liquid crystal display (LCD), gas plasma, electronic ink, light emitting diode (LED), Organic LED (OLED) or any other type of light reflective or light transmissive display that can be used with a computer. Display 671 may also include a touch interface 668 arranged to receive input from an object such as a stylus or a digit from a human hand, and may use resistive, capacitive, surface acoustic wave (SAW), infrared, radar, or other technologies to sense touch or gestures.
Projector 670 may be a remote handheld projector or an integrated projector that is capable of projecting an image on a remote wall or any other reflective object such as a remote screen.
Video interface 667 may be arranged to capture video images, such as a still photo, a video segment, an infrared video, or the like. For example, video interface 667 may be coupled to a digital video camera, a web-camera, or the like. Video interface 667 may comprise a lens, an image sensor, and other electronics. Image sensors may include a complementary metal-oxide-semiconductor (CMOS) integrated circuit, charge-coupled device (CCD), or any other integrated circuit for sensing light.
Keypad 672 may comprise any input device arranged to receive input from a user. For example, keypad 672 may include a push button numeric dial, or a keyboard. Keypad 672 may also include command buttons that are associated with selecting and sending images.
Illuminator 673 may provide a status indication or provide light. Illuminator 673 may remain active for specific periods of time or in response to event messages. For example, when illuminator 673 is active, it may backlight the buttons on keypad 672 and stay on while the computer is powered. Also, illuminator 673 may backlight these buttons in various patterns when particular actions are performed, such as dialing another computer. Illuminator 673 may also enable light sources positioned within a transparent or translucent case of the computer to illuminate in response to actions.
Further, computer 650 may also comprise hardware security module (HSM) 669 for providing additional tamper resistant safeguards for generating, storing or using security/cryptographic information such as, keys, digital certificates, passwords, passphrases, two-factor authentication information, or the like. In some embodiments, hardware security module may be employed to support one or more standard public key infrastructures (PKI), and may be employed to generate, manage, or store keys pairs, or the like. In some embodiments, HSM 669 may be a stand-alone computer, in other cases, HSM 669 may be arranged as a hardware card that may be added to a computer.
Computer 650 may also comprise input/output interface 665 for communicating with external peripheral devices or other computers such as other computers and network computers. The peripheral devices may include an audio headset, virtual reality headsets, display screen glasses, remote speaker system, remote speaker and microphone system, and the like. Input/output interface 665 can utilize one or more technologies, such as Universal Serial Bus (USB), Infrared, WiFi, WiMax, Bluetooth™, and the like.
Input/output interface 665 may also include one or more sensors for determining geolocation information (e.g., GPS), monitoring electrical power conditions (e.g., voltage sensors, current sensors, frequency sensors, and so on), monitoring weather (e.g., thermostats, barometers, anemometers, humidity detectors, precipitation scales, or the like), or the like. Sensors may be one or more hardware sensors that collect or measure data that is external to computer 650.
Haptic interface 678 may be arranged to provide tactile feedback to a user of the computer. For example, the haptic interface 678 may be employed to vibrate computer 650 in a particular way when another user of a computer is calling. Temperature interface 677 may be used to provide a temperature measurement input or a temperature changing output to a user of computer 650. Open air gesture interface 676 may sense physical gestures of a user of computer 650, for example, by using single or stereo video cameras, radar, a gyroscopic sensor inside a computer held or worn by the user, or the like. One or more cameras 666 may be used by an application to employ facial recognition methods to identify a user, track the user's physical eye movements, or take pictures (images) or videos.
GPS device 675 can determine the physical coordinates of computer 650 on the surface of the Earth, which typically outputs a location as latitude and longitude values. GPS device 675 can also employ other geo-positioning mechanisms, including, but not limited to, triangulation, assisted GPS (AGPS), Enhanced Observed Time Difference (E-OTD), Cell Identifier (CI), Service Area Identifier (SAI) Tracking Area Identifier (TAI), Enhanced Timing Advance (ETA), Base Station Subsystem (BSS), or the like, to further determine the physical location of computer 650 on the surface of the Earth. It is understood that GPS device 675 can employ a gyroscope to determine an orientation and/or an accelerometer to determine movement of the computer 650. In one or more embodiment, however, computer 650 may, through other components, provide other information that may be employed to determine a physical location of the computer, including for example, a Media Access Control (MAC) address, IP address, and the like.
Human interface components can be peripheral devices that are physically separate from computer 650, allowing for remote input or output to computer 650. For example, information routed as described here through human interface components such as display 671 or keypad 672 can instead be routed through network interface 662 to appropriate human interface components located remotely. Examples of human interface peripheral components that may be remote include, but are not limited to, audio devices, pointing devices, keypads, displays, cameras, projectors, and the like. These peripheral components may communicate over a Pico Network such as Bluetooth™ Zigbee™ and the like. One non-limiting example of a computer with such peripheral human interface components is a wearable computer, which might include a remote pico projector along with one or more cameras that remotely communicate with a separately located computer to sense a user's gestures toward portions of an image projected by the pico projector onto a reflected surface such as a wall or the user's hand.
Computer 650 may include wireless propagation modeling application 657 (WPM) that may be configured to remotely model propagation of wireless signals at one or more locations in one or more wireless networks. For example, WPM may model propagation of wireless signals according to a 3GPP or similar wireless signal propagation model, which may account for, e.g., attenuation due to distance, attenuation due to intervening foliage, etc. WPM 657 may employ geographical information provided by Geographic Information System (GIS) application 658 regarding the one or more locations. In one or more embodiments, WPM 658 may utilize an IoT network to communicate with the at least a portion of the elements in the one or more wireless networks, including the plurality of wireless signal repeater devices.
Computer 650 may include web browser application 659 that is configured to receive and to send web pages, web-based messages, graphics, text, multimedia, and the like. For example, the web browser application may provide graphical depictions of coverages areas, analogous to the shadings of the various coverage areas as depicted in
Memory 652 may include Random Access Memory (RAM), Read Only Memory (ROM), or other types of memory. Memory 652 illustrates an example of computer-readable storage medium (devices) for storage of information such as computer-readable instructions, data structures, program modules or other data. Memory 652 may store BIOS 654 for controlling low-level operation of computer 650. The memory may also store operating system 653 for controlling the operation of computer 650. It will be appreciated that this component may include a general-purpose operating system such as a version of UNIX, or LINUX™, or a specialized computer communication operating system such as Windows Phone™, Apple iOS™ or the Symbian® operating system. The operating system may include, or interface with a Java virtual machine module that enables control of hardware components or operating system operations via Java application programs.
Memory 652 may further include one or more data storage 655, which can be utilized by computer 650 to store, among other things, applications 656 or other data. For example, data storage 655 may also be employed to store information that describes various capabilities of computer 650. The information may then be provided to another device or computer based on any of a variety of methods, including being sent as part of a header during a communication, sent upon request, or the like. Data storage 655 may also be employed to store social networking information including address books, buddy lists, aliases, user profile information, or the like. Data storage 655 may further include program code, data, algorithms, and the like, for use by a processor, such as processor 651 to execute and perform actions. In one embodiment, at least some of data storage 655 might also be stored on another component of computer 650, including, but not limited to, non-transitory processor-readable removable storage device 664, processor-readable stationary storage device 663, or even external to the computer.
Applications 656 may include computer executable instructions which, when executed by computer 650, transmit, receive, or otherwise process instructions and data. Applications 656 may include, for example, WPM application 657, GIS application 658, web browser 659, or the like. Computers may be arranged to exchange communications, such as, queries, searches, messages, notification messages, event messages, alerts, performance metrics, log data, API calls, or the like, combination thereof, with application servers or network monitoring computers.
Other examples of application programs include calendars, search programs, email applications, IM applications, SMS applications, Voice Over Internet Protocol (VOIP) applications, contact managers, task managers, transcoders, database programs, word processing programs, security applications, spreadsheet programs, games, search programs, and so forth.
Additionally, in one or more embodiments (not shown in the figures), computer 650 may include one or more embedded logic hardware devices instead of CPUs, such as, an Application Specific Integrated Circuit (ASIC), Field Programmable Gate Array (FPGA), Programmable Array Logic (PAL), or the like, or combination thereof. The embedded logic hardware devices may directly execute embedded logic to perform actions. Also, in one or more embodiments (not shown in the figures), computer 650 may include one or more hardware microcontrollers instead of CPUs. In one or more embodiments, the microcontrollers may directly execute their own embedded logic to perform actions and access their own internal memory and their own external Input and Output Interfaces (e.g., hardware pins or wireless transceivers) to perform actions, such as System On a Chip (SOC), or the like.
Also, in one or more embodiments, a system may comprise one or more processors and one or more memories that store instructions. Further, the one or more processors that execute the instructions may be configured to carry out any of the methods disclosed herein including, but not limited to, the claimed embodiments of Claims' 1-24.
Additionally, in one or more embodiments, a computer-readable non-transitory medium may be arranged to store instructions. Further, one or more processors that execute the instructions may be configured to carry out any of the methods disclosed herein including, but not limited to, the claimed embodiments of Claims' 1-24.
This application is a Utility patent application based on previously filed U.S. Provisional Patent Application No. 63/138,306 filed on Jan. 15, 2021, the benefit of the filing date of which is hereby claimed under 35 U.S.C. § 119(e) and the contents of which is further incorporated in entirety by reference.
Number | Name | Date | Kind |
---|---|---|---|
2131108 | Lindenblad | Sep 1938 | A |
4464663 | Lalezari et al. | Aug 1984 | A |
6133880 | Grangeat et al. | Oct 2000 | A |
6150987 | Sole et al. | Nov 2000 | A |
6529745 | Fukagawa et al. | Mar 2003 | B1 |
6680923 | Leon | Jan 2004 | B1 |
7084815 | Phillips et al. | Aug 2006 | B2 |
7205949 | Turner | Apr 2007 | B2 |
8711989 | Lee et al. | Apr 2014 | B1 |
9356356 | Chang et al. | May 2016 | B2 |
9385435 | Bily et al. | Jul 2016 | B2 |
9450310 | Bily et al. | Sep 2016 | B2 |
9551785 | Geer | Jan 2017 | B1 |
9608314 | Kwon et al. | Mar 2017 | B1 |
9635456 | Fenichel | Apr 2017 | B2 |
9711852 | Chen et al. | Jul 2017 | B2 |
9806414 | Chen et al. | Oct 2017 | B2 |
9806415 | Chen et al. | Oct 2017 | B2 |
9806416 | Chen et al. | Oct 2017 | B2 |
9812779 | Chen et al. | Nov 2017 | B2 |
9813141 | Marupaduga et al. | Nov 2017 | B1 |
9936365 | Elam | Apr 2018 | B1 |
9955301 | Markhovsky et al. | Apr 2018 | B2 |
10033109 | Gummalla et al. | Jul 2018 | B1 |
10225760 | Black | Mar 2019 | B1 |
10277338 | Reial et al. | Apr 2019 | B2 |
10313894 | Descios et al. | Jun 2019 | B1 |
10324158 | Wang et al. | Jun 2019 | B2 |
10431899 | Bily et al. | Oct 2019 | B2 |
10468767 | McCandless et al. | Nov 2019 | B1 |
10505620 | Ito et al. | Dec 2019 | B2 |
10522897 | Katko et al. | Dec 2019 | B1 |
10673646 | Shinar et al. | Jun 2020 | B1 |
10734736 | McCandless et al. | Aug 2020 | B1 |
11069975 | Mason et al. | Jul 2021 | B1 |
11088433 | Katko et al. | Aug 2021 | B2 |
11190266 | Black et al. | Nov 2021 | B1 |
11252731 | Levitsky et al. | Feb 2022 | B1 |
11424815 | Black et al. | Aug 2022 | B2 |
11463969 | Li et al. | Oct 2022 | B2 |
20010005406 | Mege et al. | Jun 2001 | A1 |
20020196185 | Bloy | Dec 2002 | A1 |
20030025638 | Apostolos | Feb 2003 | A1 |
20030062963 | Aikawa et al. | Apr 2003 | A1 |
20040003250 | Kindberg et al. | Jan 2004 | A1 |
20040038714 | Rhodes et al. | Feb 2004 | A1 |
20040229651 | Hulkkonen et al. | Nov 2004 | A1 |
20050237265 | Durham et al. | Oct 2005 | A1 |
20050282536 | McClure et al. | Dec 2005 | A1 |
20060025072 | Pan | Feb 2006 | A1 |
20070024514 | Phillips et al. | Feb 2007 | A1 |
20070147338 | Chandra et al. | Jun 2007 | A1 |
20070184828 | Majidi-Ahy | Aug 2007 | A1 |
20070202931 | Lee et al. | Aug 2007 | A1 |
20080039012 | McKay et al. | Feb 2008 | A1 |
20080049649 | Kozisek et al. | Feb 2008 | A1 |
20080181328 | Harel et al. | Jul 2008 | A1 |
20090153407 | Zhang et al. | Jun 2009 | A1 |
20090176487 | DeMarco | Jul 2009 | A1 |
20090207091 | Anagnostou et al. | Aug 2009 | A1 |
20090231215 | Taura | Sep 2009 | A1 |
20090296938 | Devanand et al. | Dec 2009 | A1 |
20100197222 | Scheucher | Aug 2010 | A1 |
20100207823 | Sakata et al. | Aug 2010 | A1 |
20100248659 | Kawabata | Sep 2010 | A1 |
20100302112 | Lindenmeier et al. | Dec 2010 | A1 |
20110070824 | Braithwaite | Mar 2011 | A1 |
20110199279 | Shen et al. | Aug 2011 | A1 |
20110292843 | Gan et al. | Dec 2011 | A1 |
20120064841 | Husted et al. | Mar 2012 | A1 |
20120094630 | Wisnewski et al. | Apr 2012 | A1 |
20120194399 | Bily et al. | Aug 2012 | A1 |
20130059620 | Cho | Mar 2013 | A1 |
20130069834 | Duerksen | Mar 2013 | A1 |
20130141190 | Kitaoka et al. | Jun 2013 | A1 |
20130231066 | Zander et al. | Sep 2013 | A1 |
20130303145 | Harrang et al. | Nov 2013 | A1 |
20130324076 | Harrang | Dec 2013 | A1 |
20140094217 | Stafford | Apr 2014 | A1 |
20140171811 | Lin et al. | Jun 2014 | A1 |
20140198684 | Gravely et al. | Jul 2014 | A1 |
20140266946 | Bily et al. | Sep 2014 | A1 |
20140269417 | Yu et al. | Sep 2014 | A1 |
20140293904 | Dai et al. | Oct 2014 | A1 |
20140308962 | Zhang et al. | Oct 2014 | A1 |
20140349696 | Hyde et al. | Nov 2014 | A1 |
20150109178 | Hyde et al. | Apr 2015 | A1 |
20150109181 | Hyde et al. | Apr 2015 | A1 |
20150116153 | Chen et al. | Apr 2015 | A1 |
20150131618 | Chen | May 2015 | A1 |
20150162658 | Bowers et al. | Jun 2015 | A1 |
20150222021 | Stevenson et al. | Aug 2015 | A1 |
20150229028 | Bily et al. | Aug 2015 | A1 |
20150236777 | Akhtar et al. | Aug 2015 | A1 |
20150276926 | Bowers et al. | Oct 2015 | A1 |
20150276928 | Bowers et al. | Oct 2015 | A1 |
20150288063 | Johnson et al. | Oct 2015 | A1 |
20150318618 | Chen et al. | Nov 2015 | A1 |
20150372389 | Chen et al. | Dec 2015 | A1 |
20160037508 | Sun | Feb 2016 | A1 |
20160079672 | Cerreno | Mar 2016 | A1 |
20160087334 | Sayama et al. | Mar 2016 | A1 |
20160149308 | Chen et al. | May 2016 | A1 |
20160149309 | Chen et al. | May 2016 | A1 |
20160149310 | Chen et al. | May 2016 | A1 |
20160164175 | Chen et al. | Jun 2016 | A1 |
20160174241 | Ansari et al. | Jun 2016 | A1 |
20160198334 | Bakshi et al. | Jul 2016 | A1 |
20160219539 | Kim et al. | Jul 2016 | A1 |
20160241367 | Irmer et al. | Aug 2016 | A1 |
20160269964 | Murray | Sep 2016 | A1 |
20160345221 | Axmon et al. | Nov 2016 | A1 |
20160365754 | Zeine et al. | Dec 2016 | A1 |
20160373181 | Black et al. | Dec 2016 | A1 |
20170085357 | Shahar | Mar 2017 | A1 |
20170118750 | Kikuma et al. | Apr 2017 | A1 |
20170127295 | Black et al. | May 2017 | A1 |
20170127296 | Gustafsson et al. | May 2017 | A1 |
20170127332 | Axmon et al. | May 2017 | A1 |
20170155192 | Black et al. | Jun 2017 | A1 |
20170155193 | Black et al. | Jun 2017 | A1 |
20170187123 | Black et al. | Jun 2017 | A1 |
20170187426 | Su et al. | Jun 2017 | A1 |
20170194704 | Chawgo et al. | Jul 2017 | A1 |
20170195054 | Ashrafi | Jul 2017 | A1 |
20170238141 | Lindoff et al. | Aug 2017 | A1 |
20170310017 | Howard | Oct 2017 | A1 |
20170339575 | Kim et al. | Nov 2017 | A1 |
20170367053 | Noh et al. | Dec 2017 | A1 |
20170373403 | Watson | Dec 2017 | A1 |
20180013193 | Olsen et al. | Jan 2018 | A1 |
20180019798 | Khan et al. | Jan 2018 | A1 |
20180027555 | Kim et al. | Jan 2018 | A1 |
20180066991 | Mueller et al. | Mar 2018 | A1 |
20180097286 | Black et al. | Apr 2018 | A1 |
20180123692 | Leiba | May 2018 | A1 |
20180177461 | Bell et al. | Jun 2018 | A1 |
20180219283 | Wilkins et al. | Aug 2018 | A1 |
20180227035 | Cheng et al. | Aug 2018 | A1 |
20180227445 | Minegishi | Aug 2018 | A1 |
20180233821 | Pham et al. | Aug 2018 | A1 |
20180270729 | Ramachandra et al. | Sep 2018 | A1 |
20180301821 | Black et al. | Oct 2018 | A1 |
20180337445 | Sullivan et al. | Nov 2018 | A1 |
20180368389 | Adams | Dec 2018 | A1 |
20190020107 | Polehn et al. | Jan 2019 | A1 |
20190052428 | Chu et al. | Feb 2019 | A1 |
20190053013 | Markhovsky et al. | Feb 2019 | A1 |
20190067813 | Igura | Feb 2019 | A1 |
20190219982 | Klassen et al. | Jul 2019 | A1 |
20190221931 | Black et al. | Jul 2019 | A1 |
20190289482 | Black | Sep 2019 | A1 |
20190336107 | Hope Simpson et al. | Nov 2019 | A1 |
20200008163 | Black et al. | Jan 2020 | A1 |
20200083605 | Quarfoth et al. | Mar 2020 | A1 |
20200137698 | Black et al. | Apr 2020 | A1 |
20200186227 | Reider et al. | Jun 2020 | A1 |
20200205012 | Bengtsson et al. | Jun 2020 | A1 |
20200259552 | Ashworth | Aug 2020 | A1 |
20200313741 | Zhu et al. | Oct 2020 | A1 |
20200366363 | Li et al. | Nov 2020 | A1 |
20200403689 | Rofougaran et al. | Dec 2020 | A1 |
20210036437 | Zhang et al. | Feb 2021 | A1 |
20210067237 | Sampath et al. | Mar 2021 | A1 |
20210234591 | Eleftheriadis et al. | Jul 2021 | A1 |
20210328664 | Schwab | Oct 2021 | A1 |
20210367684 | Bendinelli et al. | Nov 2021 | A1 |
20210368355 | Liu | Nov 2021 | A1 |
20220014933 | Moon et al. | Jan 2022 | A1 |
20220053433 | Abedini et al. | Feb 2022 | A1 |
Number | Date | Country |
---|---|---|
102948089 | Feb 2013 | CN |
103700951 | Apr 2014 | CN |
106572622 | Apr 2017 | CN |
106664124 | May 2017 | CN |
106797074 | May 2017 | CN |
110034416 | Jul 2019 | CN |
3273629 | Jan 2018 | EP |
61-1102 | Jan 1986 | JP |
936656 | Feb 1997 | JP |
H09-214418 | Aug 1997 | JP |
2000-111630 | Apr 2000 | JP |
3307146 | Jul 2002 | JP |
2004-270143 | Sep 2004 | JP |
3600459 | Dec 2004 | JP |
2007081648 | Mar 2007 | JP |
2007306273 | Nov 2007 | JP |
2008-153798 | Jul 2008 | JP |
2009-514329 | Apr 2009 | JP |
2010-226457 | Oct 2010 | JP |
2011-507367 | Mar 2011 | JP |
2011-508994 | Mar 2011 | JP |
2012-175189 | Sep 2012 | JP |
2013-539949 | Oct 2013 | JP |
2014-075788 | Apr 2014 | JP |
2014207626 | Oct 2014 | JP |
2014-531826 | Nov 2014 | JP |
2016-139965 | Aug 2016 | JP |
2017-220825 | Dec 2017 | JP |
2018-14713 | Jan 2018 | JP |
2018-173921 | Nov 2018 | JP |
2020-523863 | Aug 2020 | JP |
2020-145614 | Sep 2020 | JP |
10-2006-0031895 | Apr 2006 | KR |
10-2008-0093257 | Oct 2008 | KR |
10-2016-0072062 | Jun 2016 | KR |
10 2016 0113100 | Sep 2016 | KR |
202037208 | Oct 2020 | TW |
2007001134 | Jan 2007 | WO |
2010104435 | Sep 2010 | WO |
2012050614 | Apr 2012 | WO |
2012096611 | Jul 2012 | WO |
2012161612 | Nov 2012 | WO |
2013023171 | Feb 2013 | WO |
2015196044 | Dec 2015 | WO |
2016044069 | Mar 2016 | WO |
2017008851 | Jan 2017 | WO |
2017014842 | Jan 2017 | WO |
2017193056 | Nov 2017 | WO |
2018144940 | Aug 2018 | WO |
2018179870 | Oct 2018 | WO |
2020095597 | May 2020 | WO |
2021003112 | Jan 2021 | WO |
Entry |
---|
Falconer, D.D. and DeCruyenaere, J.P., 2003. Coverage enhancement methods for LMDS. IEEE Communications Magazine, 41(7), pp. 86-92. |
Office Communication for U.S. Appl. No. 15/925,612 dated Jun. 15, 2018, pp. 1-9. |
U.S. Appl. No. 14/510,947, filed Oct. 9, 2014, pp. 1-76. |
Office Communication for U.S. Appl. No. 16/049,630 dated Oct. 4, 2018, pp. 1-13. |
Office Communication for U.S. Appl. No. 15/870,758 dated Oct. 1, 2018, pp. 1-12. |
Office Communication for U.S. Appl. No. 16/136,119 dated Nov. 23, 2018, pp. 1-12. |
Office Communication for U.S. Appl. No. 16/136,119 dated Mar. 15, 2019, pp. 1-8. |
Office Communication for U.S. Appl. No. 16/292,022 dated Jun. 7, 2019, pp. 1-13. |
Office Communication for U.S. Appl. No. 16/049,630 dated Apr. 12, 2019, pp. 1-13. |
Office Communication for U.S. Appl. No. 16/268,469 dated May 16, 2019, pp. 1-16. |
Office Communication for U.S. Appl. No. 16/280,939 dated May 13, 2019, pp. 1-22. |
Office Communication for U.S. Appl. No. 16/440,815 dated Jul. 17, 2019, pp. 1-16. |
Office Communication for U.S. Appl. No. 16/358,112 dated May 15, 2019, pp. 1-17. |
International Search Report and Written Opinion for International Application No. PCT/US2019/022942 dated Jul. 4, 2019, pp. 1-12. |
Yurduseven, Okan et al., “Dual-Polarization Printed Holographic Multibeam Metasurface Antenna” Aug. 7, 2017, IEEE Antennas and Wireless Propagation Letters. pp. 10.1109/LAWP.2017, pp. 1-4. |
International Search Report and Written Opinion for International Application No. PCT/US2019/022987 dated Jul. 2, 2019, pp. 1-13. |
Office Communication for U.S. Appl. No. 16/049,630 dated Jun. 24, 2019, pp. 1-5. |
Office Communication for U.S. Appl. No. 16/280,939 dated Jul. 18, 2019, pp. 1-7. |
Office Communication for U.S. Appl. No. 16/049,630 dated Aug. 7, 2019, pp. 1-13. |
Office Communication for U.S. Appl. No. 16/292,022 dated Sep. 23, 2019, pp. 1-9. |
Office Communication for U.S. Appl. No. 16/440,815 dated Oct. 7, 2019, pp. 1-5. |
Office Communication for U.S. Appl. No. 16/268,469 dated Sep. 10, 2019, pp. 1-11. |
International Search Report and Written Opinion for International Application No. PCT/US2019/041053 dated Aug. 27, 2019, pp. 1-8. |
Office Communication for U.S. Appl. No. 16/568,096 dated Oct. 24, 2019, pp. 1-10. |
International Search Report and Written Opinion for International Application No. PCT/US2019/047093 dated Oct. 21, 2019, pp. 1-7. |
Office Communication for U.S. Appl. No. 16/049,630 dated Dec. 9, 2019, pp. 1-13. |
Office Communication for U.S. Appl. No. 16/440,815 dated Jan. 8, 2020, pp. 1-8. |
Office Communication for U.S. Appl. No. 16/730,932 dated Mar. 6, 2020, pp. 1-13. |
Office Communication for U.S. Appl. No. 16/049,630 dated Mar. 31, 2020, pp. 1-15. |
Office Communication for U.S. Appl. No. 16/734,195 dated Mar. 20, 2020, pp. 1-8. |
Office Communication for U.S. Appl. No. 16/846,670 dated Jun. 11, 2020, pp. 1-12. |
Office Communication for U.S. Appl. No. 16/673,852 dated Jun. 24, 2020, pp. 1-11. |
International Search Report and Written Opinion for Application No. PCT/US2020/016641 dated Apr. 14, 2020, pp. 1-7. |
Gao, S.S. et al., “Holographic Artificial Impedance Surface Antenna Based on Circular Patch”, 2018 International Conference on Microwave and Millimeter Wave Technology (ICMMT), 2018, pp. 1-3. |
Nishiyama, Eisuke et al., “Polarization Controllable Microstrip Antenna using Beam Lead PIN Diodes”, 2006 Asia-Pacific Microwave Conference, 2006, pp. 1-4. |
International Search Report and Written Opinion for Application No. PCT/US2020/013713 dated Apr. 21, 2020, pp. 1-8. |
Office Communication for U.S. Appl. No. 16/049,630 dated Aug. 19, 2020, pp. 1-18. |
Office Communication for U.S. Appl. No. 16/730,932 dated Aug. 25, 2020, pp. 1-5. |
Office Communication for U.S. Appl. No. 16/983,927 dated Aug. 31, 2020, pp. 1-7. |
Office Communication for U.S. Appl. No. 16/983,978 dated Sep. 16, 2020, pp. 1-7. |
Office Communication for U.S. Appl. No. 16/049,630 dated Oct. 15, 2020, pp. 1-16. |
Office Communication for U.S. Appl. No. 16/983,978 dated Oct. 27, 2020, pp. 1-13. |
International Search Report and Written Opinion for Application No. PCT/US2020/048806 dated Nov. 17, 2020, pp. 1-9. |
Office Communication for U.S. Appl. No. 16/673,852 dated Nov. 25, 2020, pp. 1-8. |
Office Communication for U.S. Appl. No. 16/846,670 dated Nov. 25, 2020, pp. 1-13. |
Office Communication for U.S. Appl. No. 16/983,927 dated Jan. 6, 2021, pp. 1-8. |
Office Communication for U.S. Appl. No. 16/846,670 dated Feb. 8, 2021, pp. 1-4. |
Office Communication for U.S. Appl. No. 16/983,978 dated Feb. 10, 2021, pp. 1-11. |
Office Communication for U.S. Appl. No. 16/846,670 dated Apr. 2, 2021, pp. 1-9. |
Office Communication for U.S. Appl. No. 16/730,690 dated Apr. 8, 2021, pp. 1-11. |
Office Communication for U.S. Appl. No. 17/177,131 dated Apr. 9, 2021, pp. 1-17. |
Vu, Trung Kien et al., “Joint Load Balancing and Interference Mitigation in 5G Heterogeneous Networks,” IEEE Transactions on Wireless Communications, 2017, vol. 16, No. 9, pp. 6032-6046. |
Office Communication for U.S. Appl. No. 17/177,145 dated Apr. 19, 2021, pp. 1-11. |
Office Communication for U.S. Appl. No. 17/112,940 dated Jul. 21, 2021, pp. 1-22. |
International Search Report and Written Opinion for International Patent Application No. PCT/US2021/026400 dated Jul. 20, 2021, pp. 1-7. |
Office Communication for U.S. Appl. No. 17/177,145 dated Aug. 3, 2021, pp. 1-16. |
Office Communication for U.S. Appl. No. 17/177,131 dated Aug. 6, 2021, pp. 1-16. |
Office Communication for U.S. Appl. No. 17/112,940 dated Aug. 9, 2021, pp. 1-20. |
International Search Report and Written Opinion for International Patent Application No. PCT/US2021/034479 dated Aug. 10, 2021, pp. 1-7. |
Office Communication for U.S. Appl. No. 17/332,136 dated Sep. 2, 2021, pp. 1-9. |
Office Communication for Chinese Patent Application No. 201980019925.1 dated Sep. 27, 2021, pp. 1-25. |
Office Communication for U.S. Appl. No. 17/177,145 dated Oct. 14, 2021, pp. 1-5. |
International Search Report and Written Opinion for International Patent Application No. PCT/US2021/043308 dated Nov. 2, 2021, pp. 1-8. |
Office Communication for U.S. Appl. No. 17/177,131 dated Nov. 12, 2021, pp. 1-5. |
Extended European Search Report for European Patent Application No. 19772471.9 dated Nov. 8, 2021, pp. 1-8. |
Office Communication for U.S. Appl. No. 17/177,145 dated Nov. 16, 2021, pp. 1-16. |
Office Communication for U.S. Appl. No. 17/177,131 dated Dec. 17, 2021, pp. 1-14. |
Black, Eric J., “Holographic Beam Forming and MIMO,” Pivotal Commware, 2017, pp. 1-8. |
Björn, Ekman, “Machine Learning for Beam Based Mobility Optimization in NR,” Master of Science Thesis in Communication Systems, Department of Electrical Engineering, Linköping University, 2017, pp. 1-85. |
Office Communication for U.S. Appl. No. 17/112,940 dated Dec. 22, 2021, pp. 1-15. |
International Search Report and Written Opinion for International Patent Application No. PCT/US2021/049502 dated Dec. 14, 2021, pp. 1-8. |
Office Communication for U.S. Appl. No. 17/469,694 dated Jan. 20, 2022, pp. 1-9. |
Office Communication for U.S. Appl. No. 17/537,233 dated Feb. 4, 2022, pp. 1-9. |
Office Communication for U.S. Appl. No. 17/112,940 dated Mar. 17, 2022, pp. 1-16. |
Office Communication for U.S. Appl. No. 17/177,145 dated Mar. 24, 2022, pp. 1-18. |
Office Communication for U.S. Appl. No. 17/306,361 dated Mar. 28, 2022, pp. 1-7. |
Extended European Search Report for European Patent Application No. 19844867.2 dated Mar. 30, 2022, pp. 1-16. |
Office Communication for U.S. Appl. No. 17/585,418 dated Apr. 8, 2022, pp. 1-9. |
Office Communication for U.S. Appl. No. 17/537,233 dated Apr. 20, 2022, pp. 1-9. |
Office Communication for U.S. Appl. No. 17/203,255 dated Apr. 26, 2022, pp. 1-17. |
Office Communication for U.S. Appl. No. 17/177,131 dated Apr. 27, 2022, pp. 1-14. |
International Search Report and Written Opinion for International Patent Application No. PCT/US2022/012613 dated May 10, 2022, pp. 1-8. |
International Search Report and Written Opinion for International Patent Application No. PCT/US2022/013942 dated May 10, 2022, pp. 1-8. |
Qualcomm Incorporated, “Common understanding of repeaters,” 3GPP TSG RAN WG4 #98_e R4-2102829, 2021, https://www.3gpp.org/ftp/tsg_ran/WG4_Radio/TSGR4_98_e/Docs/R4-2102829.zip, Accessed: May 25, 2022, pp. 1-2. |
MediaTek Inc., “General views on NR repeater,” 3GPP TSG RAN WG4 #98_e R4-2101156, 2021, https://www.3gpp.org/ftp/tsg_ran/WG4_Radio/TSGR4_98_e/Docs/R4-2101156.zip, Accessed: May 25, 2022, pp. 1-4. |
Office Communication for U.S. Appl. No. 17/177,145 dated Jun. 3, 2022, pp. 1-5. |
Office Communication for U.S. Appl. No. 17/585,418 dated Jul. 22, 2022, pp. 1-6. |
Office Communication for U.S. Appl. No. 17/585,418 dated Aug. 4, 2022, pp. 1-2. |
Office Communication for U.S. Appl. No. 17/306,361 dated Sep. 9, 2022, pp. 1-7. |
Office Communication for U.S. Appl. No. 17/306,361 dated Sep. 27, 2022, pp. 1-7. |
Office Communication for U.S. Appl. No. 17/379,813 dated Oct. 5, 2022, pp. 1-11. |
Office Communication for U.S. Appl. No. 17/217,882 dated Oct. 13, 2022, pp. 1-14. |
Office Communication for U.S. Appl. No. 17/397,442 dated Oct. 27, 2022, pp. 1-8. |
Office Communication for U.S. Appl. No. 17/859,632 dated Oct. 27, 2022, pp. 1-12. |
Falconer, David D. et al., “Coverage Enhancement Methods for LMDS,” IEEE Communications Magazine, Jul. 2003, vol. 41, Iss. 7, pp. 86-92. |
Office Communication for U.S. Appl. No. 17/708,757 dated Jan. 20, 2023, pp. 1-5. |
Office Communication for U.S. Appl. No. 17/379,813 dated Feb. 3, 2023, pp. 1-10. |
Office Communication for U.S. Appl. No. 17/112,895 dated Feb. 6, 2023, pp. 1-8. |
Office Communication for U.S. Appl. No. 17/379,813 dated Feb. 15, 2023, pp. 1-3. |
Office Communication for U.S. Appl. No. 17/859,632 dated Feb. 28, 2023, pp. 1-13. |
International Search Report and Written Opinion for International Patent Application No. PCT/US2022/047909 dated Feb. 21, 2023, pp. 1-7. |
Office Communication for Japanese Patent Application No. JP 2020-548724 dated Mar. 8, 2023, pp. 1-9. |
International Search Report and Written Opinion for International Patent Application No. PCT/US2022/036381 dated Oct. 25, 2022, pp. 1-8. |
Extended European Search Report for European Patent Application No. 20759272.6 dated Nov. 3, 2022, pp. 1-9. |
Office Communication for U.S. Appl. No. 17/334,105 dated Nov. 30, 2022, pp. 1-7. |
Shimura, Tatsuhiro et al., “A study of indoor area expansion by quasi-millimeter wave repeater,” The Collection of Lecture Articles of the 2018 IEICE General Conference, Mar. 2018, pp. 1-5. |
Office Communication for U.S. Appl. No. 17/217,882 dated May 15, 2023, pp. 1-6. |
Office Communication for U.S. Appl. No. 17/859,632 dated May 16, 2023, pp. 1-4. |
Office Communication for Japanese Patent Application No. JP 2021-505304 dated May 9, 2023, pp. 1-6. |
Office Communication for U.S. Appl. No. 17/891,970 dated Jun. 16, 2023, pp. 1-11. |
Office Communication for U.S. Appl. No. 17/397,442 dated Jun. 23, 2023, pp. 1-15. |
Office Communication for U.S. Appl. No. 17/980,391 dated Jul. 3, 2023, pp. 1-9. |
Office Communication for Japanese Patent Application No. JP 2020-548724 dated Jun. 15, 2023, pp. 1-5. |
International Search Report and Written Opinion for International Patent Application No. PCT/US2023/018993 dated Jun. 27, 2023, pp. 1-9. |
Office Communication for U.S. Appl. No. 18/136,238 dated Jul. 20, 2023, pp. 1-8. |
Examination Report for European Patent Application No. 19772471.9 dated Jul. 28, 2023, pp. 1-4. |
Communication for Chinese Patent Application No. 201980019925.1 dated Sep. 27, 2021, pp. 1-25. |
Office Communication for Korean Patent Application No. KR 10-2020-7029161 dated Jul. 19, 2023, pp. 1-15. |
Office Communication for U.S. Appl. No. 17/708,757 dated Aug. 4, 2023, pp. 1-8. |
Office Communication for U.S. Appl. No. 17/859,632 dated Aug. 8, 2023, pp. 1-14. |
Office Communication for U.S. Appl. No. 17/334,105 dated Aug. 11, 2023, pp. 1-16. |
Number | Date | Country | |
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20220232396 A1 | Jul 2022 | US |
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63138306 | Jan 2021 | US |