Patent Application
20220373686
New generation wireless networks are increasingly becoming a necessity to accommodate user demands. Mobile data traffic continues to grow every year, challenging the wireless networks to provide greater speed, connect more devices, have lower latency, and transmit more and more data at once. Users now expect instant wireless connectivity regardless of the environment and circumstances, whether it is in an office building, a public space, an open preserve, or a vehicle. In response to these demands, new wireless standards have been designed for deployment in the near future. A large development in wireless technology is the fifth generation of cellular communications (5G) which encompasses more than the current Long-Term Evolution (LTE) capabilities of the Fourth Generation (4G) and promises to deliver high-speed Internet via mobile, fixed wireless and so forth. The 5G standards extend operations to millimeter wave bands, which cover frequencies beyond 6 GHz, and to planned 24 GHz, 26 GHz, 28 GHz, and 39 GHz up to 300 GHz, all over the world, and enable the wide bandwidths needed for high speed data communications.
The millimeter wave (mm-wave) spectrum provides narrow wavelengths in the range of ˜1 to 10 millimeters that are susceptible to high atmospheric attenuation and have to operate at short ranges (just over a kilometer). In dense-scattering areas with street canyons and in shopping malls for example, blind spots may exist due to multipath, shadowing and geographical obstructions. In remote areas where the ranges are larger and sometimes extreme climatic conditions with heavy precipitation occur, environmental conditions may prevent operators from using large array antennas due to strong winds and storms. These and other challenges in providing millimeter wave wireless communications for 5G networks impose ambitious goals on system design, including the ability to generate desired beam forms at controlled directions while avoiding interference among the many signals and structures of the surrounding environment.
The present application may be more fully appreciated in connection with the following detailed description taken in conjunction with the accompanying drawings, which are not drawn to scale and in which like reference characters refer to like parts throughout, and wherein:
A scanning system and method thereof for enhanced antenna placement of meta-structure based reflectarrays are disclosed. The reflectarrays are suitable for many different 5G applications and can be deployed in a variety of environments and configurations. In various examples, the reflectarrays are arrays of cells having meta-structure reflector elements that reflect incident radio frequency (“RF”) signals in specific directions. A meta-structure, as generally defined herein, is an engineered, non- or semi-periodic structure that is spatially distributed to meet a specific phase and frequency distribution. A meta-structure reflector element is designed to be very small relative to the wavelength of the reflected RF signals. The reflectarrays can operate at the higher frequencies required for 5G and at relatively short distances. Their design and configuration are driven by geometrical and link budget considerations for a given application or deployment, whether indoors or outdoors. The placement of the reflectarrays, whether indoors or outdoors, is a key contributing factor to their performance.
The subject technology provides for a scanning system that can actively estimate distances to environmental and/or structural features while scanning through a scene to generate a cloud of point positions indicative of a multi-dimensional shape of the scene. The scanning system measures individual point positions by emitting an optical signal pulse and detecting a returning optical signal pulse reflected from an object within the scene, and then determining the distance to the reflective object based on a time delay between the emitted pulse and the reception of the reflected pulse. Unlike conventional scanning devices that include a sensor mounted on a vehicle that laterally moves along the x-axis and the sensor rotates about the y-axis for scanning a scene along a horizontal plane, the scanning system of the subject technology includes a sensor mounted on a portable platform that laterally moves along the x-axis and the sensor rotates about the x-axis for scanning a scene along a vertical plane. The sensor data is then processed by a neural network for detecting and identifying reflective objects in the scene such that optimal locations in the scene will increase the signal strength and coverage areas for wireless communication signals at millimeter wave frequencies, for example. The subject technology provides advantages over the conventional scanning systems by providing greater resolution with the combination of the scanned scene slices along the vertical plane and the multiple slices gathered along the horizontal plane over time.
The detailed description set forth below is intended as a description of various configurations of the subject technology and is not intended to represent the only configurations in which the subject technology may be practiced. The appended drawings are incorporated herein and constitute a part of the detailed description. The detailed description includes specific details for the purpose of providing a thorough understanding of the subject technology. However, the subject technology is not limited to the specific details set forth herein and may be practiced using one or more implementations. In one or more instances, structures and components are shown in block diagram form in order to avoid obscuring the concepts of the subject technology. In other instances, well-known methods and structures may not be described in detail to avoid unnecessarily obscuring the description of the examples. Also, the examples may be used in combination with each other.
In some implementations, the sensor device 102 is, or includes at least a portion of, a light detection and ranging (LiDAR) device. In other implementations, the sensor device 102 is, or includes a portion of, a camera, or the like. The sensor device 102 is mechanically coupled to a first end of the mounting arm 116. The sensor device 102 rotates about the x-axis at the coupling with the mounting arm 116 such that the sensor device 102 has a range of scanning angles of a scene along the z-axis. In this respect, the sensor device 102 can emit optical signaling and detect reflected optical signaling along the z-axis within the range of scanning angles. For example, the sensor device 102 can provide a scanning field-of-view (FoV) of θ1+θ2 along the z-axis. In some implementations, θ1 is equivalent to θ2. For example, θ1=θ2=60° for a total FoV equivalent to 120°. In other implementations, θ1 is different than θ2. The values of θ1 and θ2 are arbitrary and can vary from the example values described herein without departing the scope of the present disclosure.
The mounting arm 116 is positioned parallel to a plane of the body 112. The mounting bracket 118 is mechanically coupled to the mounting arm 116 proximate to a second end of the mounting arm 116 through a retaining rod 124. The mounting bracket 118 includes grooves on a top surface of the mounting bracket 118. The retaining rod 124 may be laterally displaced from a stationary position along the x-axis through the grooves of the mounting bracket 118 to reconfigure the position of the sensor device 102. The mounting bracket is mechanically coupled to first ends of the support legs 114. The support legs 114 are arranged along the z-axis and converge at a bottom surface of the mounting bracket 118 such that the support legs support the mounting bracket 118 at a distance above the body 112. The body 112 is mechanically coupled to second ends of the support legs 114 at corners of the body 112 through respective ones of the support legs 114. The set of wheels 120 is coupled to each side of the body 112. The handle 122 is permanently coupled to a fixed position at an end of the body 112 with an elevated angle relative to the top surface of the body 112 in some implementations, or is non-permanently coupled to the body 112 through a hinge (not shown) such that the handle 112 can rotate within a predetermined range of movement. The scanning system 100 can be displaced laterally along the x-axis through rotation of the set of wheels 120. In some aspects, the scanning system 100 is displaced by pulling and/or pushing forces being applied to the handle 122.
The sensor device 102 can actively estimate distances to environmental and/or structural features while scanning through a scene to gather a cloud of point positions indicative of a three-dimensional (3D) shape of the scene. Individual point positions are measured by emitting an optical signal pulse and detecting a returning optical signal pulse reflected from an object within the environment with the sensor device 102, and determining the distance to the reflective object based on a time delay between the emitted pulse and the reception of the reflected pulse. The sensor device 102 may include a laser in some implementations, or a set of lasers in other implementations. The sensor device 102 can rapidly and repeatedly scan across the scene to provide continuous real-time information on distances to reflective objects in the scene.
In operation, the sensor device 102 rotates about the x-axis to emit optical pulse signaling and capture returning optical signaling along the z-axis. During the scanning, the scanning system 100 is laterally displaced along the x-axis at different times. For example, the scanning system 100 may be stationary at a first position at a first time (T1), and laterally displaced along the x-axis from the first position to a second position at a second time (T2). In this respect, the scanning system 100 can obtain first returning optical signaling at the first position that represents a first time slice of sensor data and second returning optical signaling at the second position that represents a second time slice of sensor data. Each of the first time slice of sensor data and the second time slice of sensor data includes detected reflective objects of a scene within the range of scanning angles along the z-axis. Although the sensor device 102 is depicted as rotating about the x-axis and capturing sensor data along the z-axis, the sensor device 102 may rotate about a different axis and capture sensor data along a different axis than the axes illustrated without departing the scope of the present disclosure.
In some implementations, the scanning system 100 includes a processing system 130 on board the body 112 of the scanning system 100. The processing system 130 may be communicably coupled to the sensor device 102 via a communication channel 132. The communication channel 132 may be wired or wireless. The processing system 130 can receive sensor data from the sensor device 102 via the communication channel 132. The processing system 130 can process the sensor data to render a multi-dimensional representation of a scanned scene and detect any reflective points (or locations) in the scanned scene. In some implementations, the processing system 130 includes one or more neural networks. In this respect, the processing system 130 can identify properties of the detected reflective objects through a trained neural network for determining behavior characteristics of the reflective objects in response to wireless communication signaling being propagated within the environment. In some implementations, the processing system 130 determines one or more control actions to be performed by the sensor device 102 based on the detection of such reflective points. For example, the one or more control actions may include signaling that causes the sensor device 102 to adjust the range of scanning angles, to adjust the number of light pulses being emitted, to adjust the intensity of the light pulses, and so forth. In some implementations, the scanning system 100 can be displaced autonomously (i.e., independent of manual user intervention with the handle 122) with autopilot instructions performed by the processing system 130. In other implementations, the processing system 130 may be communicably coupled to a radio interface such that the scanning system 100 can be displaced in response to remote control intervention by a user through wireless communication with the processing system 130.
The LiDAR sensor 206 includes a laser source for emitting optical signal pulses to a scene in an environment. The emitted optical pulses are reflected from objects in the scene and received and processed by the scanning module 200 to detect and identify the reflective objects and their properties for determining enhanced antenna placement within the environment. The scanning module 200 also may include a perception module as shown in
The inertial measurement sensor 208 may measure specific force, angular rate, and orientation of the LiDAR sensor 206. In some aspects, the inertial measurement sensor 208 may perform the measurements in combination with the gyroscope 210. The gyroscope 210 may measure or maintain orientation and angular velocity of the scanning module 200. The other sensors 216 may include additional sensors for monitoring conditions in and around the scanning module 200.
In some implementations, the scanning module 200 includes a sensor fusion module 220. In various examples, the sensor fusion module 220 optimizes these various functions to provide an approximately comprehensive view of the scanned scene. Many types of sensors may be controlled by the sensor fusion module 220. These sensors may coordinate with each other to share information and consider the impact of one control action on another system. In one example, in a congested scanning condition, a noise detection module (not shown) may identify that there are multiple returning optical signals that may interfere with the scanning module 200. This information may be used by a perception module in, or communicably coupled to, the scanning module 200 to adjust the emitted optical signal pulse to avoid these other returning optical signals and minimize interference.
In various examples, the sensor fusion module 220 may send a direct control signal to the LiDAR sensor 206 via the system controller 222 based on historical conditions and controls. The sensor fusion module 220 may also use some of the sensors within the scanning module 200 to act as feedback or calibration for the other sensors. In this way, the inertial measurement sensor 208 may provide feedback to the perception module and/or the sensor fusion module 220 to create templates, patterns and control scenarios. These are based on successful actions or may be based on poor results, where the sensor fusion module 220 learns from past actions.
Data from the sensors 204, 206, 208, 210 and 212 may be combined in the sensor fusion module 220 to form fused sensor data that improves the reflective object detection and identification performance of the scanning module 200. The sensor fusion module 220 may itself be controlled by the system controller 222, which may also interact with and control other modules and systems in the scanning module 200. For example, system controller 222 may turn on and off the different sensors 204, 206, 208, 210 and 212 as desired.
All modules and systems in the scanning module 200 may communicate with each other through the communication module 218. The system memory 224 may store information and data (e.g., static and dynamic data) used for operation of the scanning module 200. The data received may be processed by the sensor fusion module 220 to assist in the training and perceptual inference performance of the perception module in the scanning module 200.
The optical signal pulses reflect from reflective objects in the surrounding environment, and the returning optical signal pulses are received by the scanning module 302. In some aspects, LiDAR data from the returning optical signal pulses is provided to the perception module 304 for reflective object detection and identification. The scanning module 302 sends the received LiDAR data to the data pre-processing module 312 for generating a point cloud that is then sent to the target identification and decision module 314 of the perception module 304.
The data pre-processing module 312 can process the LiDAR data to encode it into a point cloud for use by the perception module 304. In various examples, the data pre-processing module 312 can be a part of the perception module 304, such as on the same circuit board as the other modules within the perception module 304. The LiDAR data may be organized in sets of sensor data slices, corresponding to 3D information that is determined by each returning optical signal pulse reflected from reflective objects, such as elevation angles, range, reflective properties, and so forth.
The perception module 304 may control further operation of the scanning module 302 by, for example, providing a scanner control signal containing parameters for adjusting the range of scanning angles, adjusting the number of light pulses being emitted, adjusting the intensity of the light pulses, and so forth.
The system controller 222 may be responsible for directing the LiDAR sensor 306 to generate optical signal pulses with determined parameters such as beam width, transmit angle, light intensity, and so forth. The system controller 222 may, for example, determine the parameters at the direction of the perception module 304, which may at any given time determine to focus on a specific scene of the surrounding environment upon identifying reflective objects of interest in the surrounding environment. The perception module 304 may provide control actions to the LiDAR sensor 206 at the direction of the target identification and decision module 314.
The target identification and decision module 314 receives the point cloud from the data pre-processing module 312, processes the point cloud to detect and identify reflective objects in the scanned scene, and determines any control actions to be performed by the scanning module 302 based on the detection and identification of such reflective objects. For example, the scanning module 302 may scan the interior of a stadium concourse and the target identification and decision module 314 may detect columnar pillars and other structural features of the stadium concourse that may have an impact to the signal integrity and/or coverage area of a wireless network. In some implementations, the target identification and decision module 314 may direct the scanning module 302, at the instruction of its system controller 222, to focus additional optical signal pulses at a given direction and/or intensity within the portion of the scene corresponding to the location of the detected reflective object. The target identification and decision module 314 may send the scanner control signal through the communication modules 218 and 318 in real-time during the scanning operation in some implementations, or may send the scanner control signal after completion of the scanning for incorporation into a subsequent scan operation.
The multi-object tracker 318 may track the identified reflective objects over time, such as, for example, with the use of a Kalman filter. The multi-object tracker 318 may match candidate reflective objects identified by the target identification and decision module 314 with targets it has detected in previous time windows. By combining information from previous measurements, expected measurement uncertainties, and some physical knowledge, the multi-object tracker 318 can generate robust, accurate estimates of reflective object locations and/or reflective object properties.
Information on identified targets over time are then stored at a target map 320, which keeps track of locations and/or reflective properties of the reflective objects as determined by the multi-object tracker 318. The tracking information provided by the multi-object tracker 318 can be used to produce an output containing a type/class of reflective object identified, its location, its reflective properties, and so forth. This information from the scanning system 300 can be sent to a sensor fusion module (e.g., the sensor fusion module 220 in the scanning module 200), where it is processed together with information from other sensors in the scanning module 200.
In some aspects, the FoV composite data repository 322 stores information that describes an FoV. As used herein, the term “FoV” may refer to the field of view of the scanning module 302. The FoV information may be historical data used to track trends and anticipate behaviors and wireless traffic conditions or may be instantaneous or real-time data that describes the FoV at a moment in time or over a window in time. The ability to store this data enables the perception module 304 to make decisions that are strategically targeted at a particular point or area within the FoV. For example, the FoV may be clear (e.g., no echoes received) for a period of time (e.g., five minutes), and then one returning optical signal arrives from a specific region in the FoV; this is similar to detecting the front of a car. There are a variety of other uses for the FoV composite data 322, including the ability to identify a specific type of reflective object based on previous detection.
The memory 324 can store useful data for the scanning system 300, such as, for example, information on which location within the scanned scene can be used for enhanced placement of an antenna to perform better under different wireless traffic conditions. All of these detection scenarios, analysis and reactions may be stored in the perception module 304, such as in the memory 324, and used for later analysis or simplified reactions.
Attention is now directed to
The example process 400 begins at step 402, where LiDAR data is obtained with a LiDAR sensor (e.g., 102, 206) that is mounted on a movable platform (e.g., 110) and rotated about a first direction (e.g., x-axis). In some aspects, the LiDAR data includes a time slice of a scene in the wireless communication environment that is scanned at a first time by the LiDAR sensor at a first location within a range of scanning angles (e.g., +/−60° along a second direction orthogonal to the first direction (e.g., y-axis). Next, at step 404, the position of the movable platform is adjusted from the first location to a second location along the first direction (e.g., movement along the x-axis). Subsequently, at step 406, the scanning system (e.g., 100) determines whether the number of obtained time slices satisfies a predetermined threshold. For example, the predetermined threshold may correspond to the number of scanned slices needed to stitch (or combine) together and form the LiDAR point cloud of the scanned scene. In some examples, the number of obtained time slices exceeds the predetermined threshold to satisfy the predetermined threshold. In other examples, the number of obtained time slices is at least equivalent to the predetermined threshold for satisfying the predetermined threshold. If the number of time slices satisfies the predetermined threshold, the process 400 proceeds to step 408. Otherwise, the process 400 returns to step 402 to gather additional time slices.
Next, at step 408, the scanning system generates a LiDAR point cloud from the obtained LiDAR data. Subsequently, at step 410, the scanning system renders a 3D representation of the scanned scene from the LiDAR point cloud. Next, at step 412, the scanning system sends the 3D representation of the scanned scene to a trained neural network. In some aspects, the trained neural network is part of the scanning system. In other aspects, the trained neural network is external to the scanning system and the scanning system is communicably coupled to the trained neural network through a dedicated communication channel. Subsequently, at step 414, the scanning system determines one or more optimal positions within the scene for an antenna (e.g., reflectarray) associated with a wireless network (e.g., 5G network), from the 3D representation of the scanned scene using the trained neural network.
The scanning system can be positioned inside the indoor environment 500 for surveying the structural features and distances to such features for the enhanced placement of the reflectarray antennas. The scanning system 100 can scan through a scene of the indoor environment 500 to gather a cloud of point positions indicative of a multi-dimensional shape of the scene. The scanning system 100 can measure individual point positions by emitting an optical signal pulse and detecting a returning optical signal pulse reflected from an object within the scene, and then determining the distance to the reflective object based on a time delay between the emitted pulse and the reception of the reflected pulse.
The scanning system 100 includes a sensor device (e.g., the sensor device 102) that rotates about the x-axis to emit optical pulse signaling and capture returning optical signaling along the y-axis. During the scanning, the scanning system 100 is laterally displaced along the x-axis at different times. For example, the scanning system 100 may be stationary at a first position at a first time (T1), and laterally displaced along the x-axis from the first position to a second position at a second time (T2). In this respect, the scanning system 100 can receive first returning optical signaling at the first position that represents a first time slice of sensor data (e.g., 520) and receive second returning optical signaling at the second position that represents a second time slice of sensor data (e.g., 510). Each of the first time slice of sensor data 520 and the second time slice of sensor data 510 includes detected reflective objects of a scene within the range of scanning angles along the z-axis. The first time slice of sensor data 520 and the second time slice of sensor data 510 are combined (or stitched) as a function of time to form combined sensor data that includes detected reflective objects of the scene within the range of scanning angles along the z-axis at different positions along the x-axis, where each time slice corresponds to a different position along the x-axis.
By combining the measured distances and the orientation of the returning optical signal pulses when each distance is measured, a 3D position can be associated with each returning optical signal pulse. The scanning system 100 can facilitate in generating a 3D point map of detected reflective objects based on the returning pulses for an entire scanning zone. The 3D point map can indicate positions of the reflective objects in the scanned scene. In some aspects, these reflective objects may be indicative of reflective properties that may impact radiation patterns of wireless communication antennas (e.g. reflectarray antennas) installed in the indoor environment 500.
Unlike conventional scanning devices that include a sensor that rotates about the y-axis for scanning a scene along a horizontal plane, the scanning system of the subject technology includes a sensor mounted on a portable platform that laterally moves along the x-axis and the sensor rotates about the x-axis for scanning a scene along a vertical plane. The sensor data may then be processed by a neural network for detecting and identifying reflective objects in the scene such that optimal locations in the scene that increase the signal strength and coverage areas for wireless communication signals at millimeter wave frequencies, for example, can be identified. The subject technology provides advantages over the conventional scanning systems by providing greater resolution with the combination of the scanned scene slices along the vertical plane and the multiple slices that make up the horizontal plane.
Wireless coverage can be significantly improved to users outside of the LOS zone by the installation of reflectarray antennas on a surface of a structure (e.g., roof, wall, post, window, etc.). As depicted in
Each of the reflectarray antennas 710 and 712 is a robust and low-cost passive relay antenna that is positioned at an enhanced location to significantly improve network coverage. As illustrated, each of the reflectarray antennas 710 and 712 is formed, placed, configured, embedded, or otherwise connected to a portion of the stadium 730. Although multiple reflectarrays are shown for illustration purposes, a single reflectarray may be placed in external and/or internal surfaces of the stadium 730 depending on implementation.
In some implementations, each of the reflectarray antennas 710 and 712 can serve as a passive relay between the wireless radio 706 and end users within or outside of the LOS zone. In other implementations, the reflectarray antennas 710 and 712 can serve as an active relay by providing an increase in transmission power to the reflected wireless signals. End users in a Non-Line-of-Sight (“NLOS”) zone can receive wireless signals from the wireless radio 706 that are reflected from the reflectarray antennas 710 and 712. In some aspects, the reflectarray antenna 710 may receive a single RF signal from the wireless radio 706 and redirect that signal into a focused beam 720 to a targeted location or direction. In other aspects, the reflectarray antenna 712 may receive a single RF signal from the wireless radio 706 and redirect that signal into multiple reflected signals 722 at different phases to different locations. Various configurations, shapes, and dimensions may be used to implement specific designs and meet specific constraints. The reflectarray antennas 710 and 712 can be designed to directly reflect the wireless signals from the wireless radio 706 in specific directions from any desired location in the illustrated environment.
For the UEs and others in the outdoor environment 700, the reflectarray antennas 710 and 712 can achieve a significant performance and coverage boost by reflecting RF signals from BS 702 and/or the wireless radio 706 to strategic directions. The design of the reflectarray antennas 710 and 712 and the determination of the directions that each respective reflectarray needs to reach for wireless coverage and performance improvements take into account the geometrical configurations of the outdoor environment 700 (e.g., placement of the wireless radio 706, distances relative to the reflectarray antennas 710 and 712, etc.) as well as link budget calculations from the wireless radio 706 to the reflectarray antennas 710 and 712 in the outdoor environment 700.
It is also appreciated that the previous description of the disclosed examples is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these examples will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other examples without departing from the spirit or scope of the disclosure. Thus, the present disclosure is not intended to be limited to the examples shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
As used herein, the phrase “at least one of” preceding a series of items, with the terms “and” or “or” to separate any of the items, modifies the list as a whole, rather than each member of the list (i.e., each item). The phrase “at least one of” does not require selection of at least one item; rather, the phrase allows a meaning that includes at least one of any one of the items, and/or at least one of any combination of the items, and/or at least one of each of the items. By way of example, the phrases “at least one of A, B, and C” or “at least one of A, B, or C” each refer to only A, only B, or only C; any combination of A, B, and C; and/or at least one of each of A, B, and C.
Furthermore, to the extent that the term “include,” “have,” or the like is used in the description or the claims, such term is intended to be inclusive in a manner similar to the term “comprise” as “comprise” is interpreted when employed as a transitional word in a claim.
A reference to an element in the singular is not intended to mean “one and only one” unless specifically stated, but rather “one or more.” The term “some” refers to one or more. Underlined and/or italicized headings and subheadings are used for convenience only, do not limit the subject technology, and are not referred to in connection with the interpretation of the description of the subject technology. All structural and functional equivalents to the elements of the various configurations described throughout this disclosure that are known or later come to be known to those of ordinary skill in the art are expressly incorporated herein by reference and intended to be encompassed by the subject technology. Moreover, nothing disclosed herein is intended to be dedicated to the public regardless of whether such disclosure is explicitly recited in the above description.
While this specification contains many specifics, these should not be construed as limitations on the scope of what may be claimed, but rather as descriptions of particular implementations of the subject matter. Certain features that are described in this specification in the context of separate implementations can also be implemented in combination in a single implementation. Conversely, various features that are described in the context of a single implementation can also be implemented in multiple implementations separately or in any suitable sub combination. Moreover, although features may be described above as acting in certain combinations and even initially claimed as such, one or more features from a claimed combination can in some cases be excised from the combination, and the claimed combination may be directed to a sub combination or variation of a sub combination.
The subject matter of this specification has been described in terms of particular aspects, but other aspects can be implemented and are within the scope of the following claims. For example, while operations are depicted in the drawings in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. The actions recited in the claims can be performed in a different order and still achieve desirable results. As one example, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. Moreover, the separation of various system components in the aspects described above should not be understood as requiring such separation in all aspects, and it should be understood that the described program components and systems can generally be integrated together in a single hardware product or packaged into multiple hardware products. Other variations are within the scope of the following claim.
This application claims priority to U.S. Prov. Appl. No. 62/875,471, titled “SCANNING SYSTEM FOR ENHANCED ANTENNA PLACEMENT IN A WIRELESS COMMUNICATION ENVIRONMENT,” filed on Jul. 17, 2019, which is incorporated by reference herein in its entirety.
| Filing Document | Filing Date | Country | Kind |
|---|---|---|---|
| PCT/US20/42417 | 7/16/2020 | WO |
| Number | Date | Country | |
|---|---|---|---|
| 62875471 | Jul 2019 | US |
