The present invention relates to wireless data communication. More particularly, the present invention relates to a novel and improved method and apparatus for high speed packet data and low delay data transmissions in a wireless communication system.
Increasing demand for wireless data transmission and the expansion of services available via wireless communication technology has led to the development of specific data services. One such service is referred to as High Data Rate (HDR). An exemplary HDR type system is proposed in “TL80-54421-1 HDR Air Interface Specification”referred to as “the HAI specification.” HDR generally provides an efficient method of transmitting packets of data in a wireless communication system. A difficulty arises in applications requiring both voice and packet data services. Voice systems are considered low delay data systems, as the voice communications are interactive and therefore processed in real-time. Other low delay data systems include video, multi-media, and other real-time data systems. HDR systems are not designed for voice communications but rather are designed to optimize data transmissions, as the base station in an HDR system circulates through the various mobile users, sending data to only one mobile user at a time. The circulation introduces delay into the transmission process. Such delay is tolerable for data transmission, as the information is not used in real-time. In contrast, the circulation delay is not acceptable for voice communications.
There is a need for a combination system for transmitting high speed packet data information along with low delay data, such as voice information. There is a further need for a method of determining the data rate for high packet data rate information in such a combination system.
The disclosed embodiments provide a novel and improved method for high packet data rate and low delay data transmission in a wireless communication system. In one embodiment, a base station in a wireless communication system first sets up low delay data transmission, effectively as high priority, and then schedules packet data services according to the available traffic power after satisfying the low delay data. The packet data service transmits the packet data to one mobile user at a time. Alternate embodiments may provide packet data to multiple mobile users at a time, dividing the available power among the multiple users. At a given time, one user is selected as a target recipient based on the quality of the channel. The base station determines a ratio of the available power to the pilot channel power and provides the ratio to the selected mobile user. The ratio is referred to as the “Traffic-to-Pilot” ratio, or “T/P” ratio. The mobile user uses the ratio to calculate a data rate and sends that information back to the base station.
In one embodiment, the base station provides a “Broadcast-to-Pilot” ratio, or “B/P” ratio to the mobile user, wherein the ratio considers the broadcast power, i.e., the total available transmission power, of the base station and the pilot power, i.e., the power portion of the broadcast power used for the pilot channel. The mobile user determines a normalized data rate to request from the base station, wherein the normalized data rate is a function of the B/P. The normalized data rate is sent to the base station and a decision made as to the appropriate data rate. The data rate selection is then sent to the mobile user.
In an exemplary embodiment, a parallel signaling channel is used to provide the T/P ratio information to the mobile user. The parallel signaling channel may be implemented using a separate carrier frequency, or by any of a variety of methods for generating a separate channel.
According to another embodiment, the T/P ratio is provided via the packet data traffic channel, wherein the T/P ratio is included in the header of a packet of data, or is provided continuously along with the packet data.
Alternate embodiments may implement another metric for estimating a SNR of the traffic channel based on the SNR of the pilot channel, wherein the metric is provided to the mobile user for determination of a data rate. The mobile user requests transmissions at or below the determined data rate.
In one aspect a wireless communication apparatus includes a first processor operative to receive a first indicator, the first indicator corresponding to available packet data transmission power; and a correlation unit operative to determine a packet data transmission rate indicator as a function of the first indicator and a received pilot signal strength.
In another aspect, in a wireless communication system, the system operative for transmitting packet data and low delay data, the system having a total available transmit power, a method includes establishing at least one low delay communication link using a first power; determining available packet data traffic power as a function of the total available transmit power and the first power; determining a packet data rate based on the available packet data traffic power.
In still another aspect, a wireless communication apparatus includes a first processor operative to receive a first indicator, the first indicator corresponding to a ratio of available traffic-to-pilot signal strength; a measurement unit operative to receive a pilot signal and determine a pilot signal-to-noise ratio of a pilot signal; a summation node coupled to the measurement unit and the first processor, the summation node operative to adjust the signal-to-noise ratio by the first indicator to form a traffic signal-to-noise ratio; and a correlation unit operative to receive the traffic signal-to-noise ratio and determine an associated data rate for transmission.
The features, objects, and advantages of the presently disclosed method and apparatus will become more apparent from the detailed description set forth below when taken in conjunction with the drawings in which like reference characters identify correspondingly throughout and wherein:
While it is desirable to implement high rate packet data services and low delay, voice type services in one system, this is a difficult task due to the significant differences between voice services and data services. Specifically, voice services have stringent and predetermined delay requirements. Typically, the overall one-way delay of speech frames must be less than 100 msec. In contrast to voice, the data delay can become a variable parameter used to optimize the efficiency of the data communication system. As the condition of a channel to a given user will vary over time, and it is therefore possible to select the better times to transmit packets based on the channel condition.
Another difference between voice and data services involves the requirement of voice services for a fixed and common grade of service (GOS) for all users. For example, in a digital system the GOS requires a fixed and equal transmission rate for all users having no delay greater than a maximum tolerable value for the frame error rate (FER) of the speech frames. In contrast, for data services, the GOS is not fixed, but rather may vary from user to user. For data services, the GOS may be a parameter optimized to increase the overall efficiency of the data communication system. The GOS of a data communication system is typically defined as the total delay incurred in the transfer of a predetermined amount of data hereinafter referred to as a data packet.
Yet another significant difference between voice services and data services is that the former requires a reliable communication link which, in the exemplary CDMA communication system, is provided by soft handoff. Soft handoff results in redundant transmissions from two or more base stations to improve reliability. However, this additional reliability is not required for data transmission because the data packets received in error can be retransmitted. For data services, the transmit power used to support soft handoff can be more efficiently used for transmitting additional data.
In contrast to voice and other low delay data communications, high data rate data communications typically use packet switched techniques rather than circuit switched techniques for transmission. The data is grouped into small batches to which control information is appended as header and/or tail. The combination of data and control information forms a packet. As packets are transmitted through a system various delays are introduced, and may even include loss of one or multiple packets and/or one or more portions of a packet. HDR and other packet data systems typically tolerate time varying delayed packets as well as lost packets. It is possible to exploit the delay tolerance of packet data systems by scheduling transmissions for optimum channel conditions. In one embodiment, the transmissions to multiple users are scheduled according to the quality of each of transmission link. The transmission uses all available power to transmit data to one of the multiple users at a time. This introduces a variable delay, as the multiple users may not have a priori knowledge of the target recipient, the scheduling of transmissions, the data rate, and/or the configuration information, including the modulation technique, the channel encoding, etc. In one embodiment, rather than have each receiver estimate such information, the receiver requests a data rate and corresponding configuration. The scheduling is determined by a scheduling algorithm and sent in a synchronization message.
Prior to requesting the data rate, the receiver determines an optimum data rate, wherein the data rate may be based on available transmission power. The data rate is proportional to the transmission power and the quality of the channel. As used herein, a combination system is a system capable of handling both low delay data transmissions and packet data transmission. In a combination system capable of handling voice and packet data transmissions, the available power, and thus the available data rate, varies with time with the voice activity. The receiver does not have knowledge of the voice activity of the system in determining a data rate. One example of a combination system is a Wideband Code Division Multiple Access, such as the “ANSI J-STD-01 Draft Standard for W-CDMA (Wideband Code Division Multiple Access) Air Interface Compatibility Standard for 1.85 to 1.99 GHz PCS Applications” referred to as “W-CDMA.”Other systems include the “TIA/ELIAS-2000 Standards for cdma200 Spread Spectrum Systems” referred to as “the cdma2000 standard,” or other per-user connection systems.
A packet data system 20 is illustrated in
In a typical HDR system, packet data communications proceed with one link to the selected recipient, wherein packet data channel 24 schedules the various mobile stations 26-28 one at a time. Forward traffic channel refers to data transmitted from the base station, and reverse traffic channel refers to data transmitted from the mobile stations 26-28. The packet data system 20 schedules users by implementing one link to one user at a given time. This is in contrast to low delay data transmission systems where multiple links are maintained concurrently. The use of a single link allows a higher transmission data rate for the selected link and optimizes transmissions by optimizing the channel condition for at least one link. Ideally the base station only uses a channel when it is at an optimum condition.
The user(s) of mobile stations 26-28 that expect data service(s) provide a forward traffic channel data rate via a Data Rate Control (DRC) channel to the base station 22. The users are scheduled according to the quality of signal received, wherein scheduling also ensures that users are scheduled according to a fairness criteria. For example, a fairness criterion prevents the system from favoring those mobile users proximate to the base station over others that are distant. The requested data rate is based on the quality of signals received at the scheduled user. The ratio of the Carrier-to-Interference (C/I) is measured and used to determine a data rate for the communication.
Scheduling users allows the system 20 to optimize service to mobile stations 26-28 by providing multi-user diversity. An example of the usage patterns associated with three (3) mobile stations MS0, MSi, and MSN within mobile stations 26-28 is illustrated in
An exemplary HDR transmission within system 20 is illustrated in
Operation of the system 50 according to one embodiment is illustrated graphically in
According to one embodiment, the PSCH channel format defines parallel sub-channels, each having a unique spectrum spreading code. One frame of data is then encoded, interleaved and modulated. The resultant signal is demultiplexed over the subchannels. At the receiver, the signals are summed together to rebuild a frame. A variable frame length-encoding scheme provides for longer frames at lower frame rates per slot. Each encoded packet is sliced into sub-packets, wherein each sub-packet is transmitted via one or multiple slots, providing incremental redundancy.
In contrast to
As illustrated in
In one embodiment, the T/P ratio is included in the header of a packet of data or may be punctured or inserted into the high rate packet data channel between packetized data traffic. As illustrated in
In an exemplary embodiment illustrated in
Note that the packet data to a particular user is transmitted on one or multiple pre-selected channels. For example, in one embodiment of a CDMA wireless communication system, Walsh codes 16 to 19 are assigned to data communications. In the exemplary embodiment illustrated in
In one embodiment, the signaling message is encoded into a shorter frame than the frame of the data packet, such as the header, allowing the receiver to decode the signaling message and make processing decision(s) accordingly. The data received that is potentially targeted for the receiver is buffered awaiting the processing decision(s). For example, if the receiver is not the target recipient of the data, the receiver may discard the buffered data or may discontinue any preprocessing of data, such as buffering, etc. If the signaling channel contains no data for the receiver, the receiver discards the buffer, else, the receiver decodes the buffered data using the parameters indicated in the signaling message, reducing any latency of the system.
In one embodiment, the parallel signaling channel is transmitted to multiple users. As multiple users are able to distinguish between data to the various users, each of the multiple users is also able to receive a common packet(s) of data. In this way, the configuration information is provided via the signaling message and each user is able to retrieve and decode the packet(s). In one embodiment, a message is broadcast to multiple users, wherein a group identifier is also broadcast. Mobile users belonging to the group know the group identifier a priori. The group identifier may be placed in the header information. The group identifier may be a unique Walsh code or other means of identifying the group. In one embodiment, mobile user(s) may belong to more than one group.
The T/P ratio may be transmitted using the parallel signaling channel as illustrated in
Continuing with
In one embodiment, the method for determining a data rate involves negotiation of the mobile station and base station. In the negotiations, the mobile station determines a maximum achievable data rate. The maximum achievable data rate represents a data rate possible if the mobile station is the only receiver of the base station. In this case, the total transmit power available from the base station is dedicated to the mobile station. As illustrated, at step 128 the mobile station receives a Broadcast-to-Pilot ratio, or B/P ratio. The broadcast power is the total transmit power of the base station. The pilot power is the power consumed for transmission of the pilot signal from the base station. The mobile station determines a normalized data rate as a function of the B/P ratio and the pilot SNR at step 130. The normalized data rate corresponds to a data rate the mobile user would request if all of the broadcast power were available for data traffic to the mobile user and the pilot signal, ignoring other users within a system such as system 50 of
The B/P ratio represents a constant that will typically vary relatively slowly over time. The base station knows the ratio of total broadcast power and the power used for the pilot channel. Alternate embodiments may implement other indicators of the available power, such as using other expression(s) of the energy of transmitted signals, the power spectral density of the signals, etc.
Continuing with
In an alternate embodiment, the mobile station estimates the T/P ratio using the received pilot signal. The received pilot signal provides a channel estimate used for decoding the traffic information. A low pass filter may be used to filter noise components from the received pilot signal. The filtering provides an estimate of the noise received with the pilot signal. The T/P ratio is then estimated based on the filtering results. As an example, consider a system model described by the following:
rkt=√{square root over (T)}csk+nktrkp=√{square root over (P)}c+nkp for k=0, 1 . . . , M−1. (1)
The Maximum Likelihood (ML) estimate of the traffic-to-pilot ratio may be found using the following estimate:
After some approximation, (3) reduces to:
wherein the constellation is assumed to have unit averaged power.
The estimates in (3) and (4) may be difficult to evaluate, as the data sequence {sk}, representing the transmitted signal, is included in the equations. However, these equations suggest that
is a sufficient statistic that may be used in T/P ratio estimation algorithm design.
According to one embodiment, an algorithm for estimating the T/P ratio first estimates h=√{square root over (P)}c with
and the noise variance Nt from rkp. Next the algorithm defines an estimate of the T/P ratio as:
wherein the estimate of (5) is asymptotically unbiased. Note that an optimal estimate considers the first moment of the test statistics, while the estimate of (5) intends to estimate the second order moment. While both approaches result in unbiased estimates, the second order moment will typically introduce a larger estimation variance. Consider also that using the first order moment, the required data sequence is unavailable, and the mobile station uses a priori the specific format of the constellation.
In another embodiment, a T/P ratio estimation algorithm estimates h=√{square root over (P)}c with
and obtains the empirical probability density function (PDF) of
Note that, for sufficiently large M, xk can be considered approximately Gaussian with mean Rsk. It is then possible to extract an estimate of R from the PDF of xk. At this point there are a variety of ways to estimate R from the PDF of xk. Several properties can be used in extracting the traffic-to-pilot ratio from the PDF. For example, for a high-order modulation such as associated with a high SNR, xk's are grouped into several clusters. The layout of the centers of the clusters is similar to that of the constellation of sk. For M-PAM, M-QAM and M-PSK, the constellation points are equally spaced. Note also that the distribution of each cluster approximately follows the Gaussian PDF. With source coding, such as compression and/or vocoding, and channel coding the transmitted symbols are equally likely.
The algorithm may continue in the frequency domain or the time domain. For a frequency domain analysis, the points of a constellation may be arranged equally spaced, as are the clusters of the PDF of xk, indicating the PDF is periodic. The space, or period, is then determined by frequency domain analysis. For example, creating a histogram by calculating the DFT of the PDF function, the algorithm then locates the major period. R may be calculated based on the major period and the period between any two constellation points. For M-QAM, the two-dimensional PDF function can be considered as two separate one-dimensional functions. Alternately, the equal spacing property may be exploited in the time domain. For example, by calculation of the auto-correlation function of the PDF, the position of the first side-lobe next to zero offset may provide an estimate of the average period between the center of the two adjacent clusters.
In still another embodiment, the N centers of the clusters of the PDF are first located. This method assumes that the estimated centers are {dk} for k=0, 1, . . . , N−1, and the constellation points {ak} for k=0, 1, . . . , N−1, are in a same order. Application of the least square algorithm results in the following estimate of R
Note that the centers for the PDF function may be determined in a variety of ways.
Since the constellation points are equally likely, the method first finds the Cumulative Probability Function (CDF) from the PDF. The clustering is performed by application of a threshold scheme on the CDF. The center of each group is then calculated by averaging within the group using a first order moment. In alternate embodiments, techniques such as feature extraction used in image processing may be applied, wherein for example, a feature may be a peak or a template based on an approximation to the Gaussian PDF. Note also that image segmentation techniques, such as clustering and region growing, provide methods for grouping the points of the empirical PDF. Comparing (6) and (4) illustrates a similarity between clustering processes and hard-decoding, wherein the actual signal sk in (4) is replaced by the hard-decoded symbol am in (6).
In a typical HDR system, such as system 20 illustrated in
Returning to
In a combination, packet data and low delay data, system some of the above mentioned information is not known a priori, but rather is subject to variation due to the sharing of the available power and available channels with low delay data, such as voice communications. A comparison is made in the following table.
The use of a signaling channel, as illustrated in
Application of the embodiments and combinations of embodiments described hereinabove, allow for combination of packet data with low delay data transmissions within a wireless communication system. As indicated, the combination of voice with packet data introduces variables into the transmission process. The application of a separate signaling channeling provides information to receivers within a wireless communication system without degrading the quality of the communication. The signaling channel message may identify target recipient(s) information. The transmission of an available traffic indicator to a receiver provides information that assists the receiver in determining a data rate to request from the transmitter. Similarly, when the traffic indicator is used by multiple receivers, wherein each calculates a data rate therefrom, the transmitter receives information that assists the transmitter in allocating transmission channels for packet data transmissions to the multiple receivers.
Thus, a novel and improved method and apparatus for high data rate transmission in a wireless communication system has been described. While the exemplary embodiment discussed herein describes a CDMA system, various embodiments are applicable to any wireless per-user connection method. To effect efficient communications, the exemplary embodiment is described with respect to HDR, but may also be efficient in application to IS-95, W-CDMA, IS-2000, GSM, TDMA, etc.
Those of skill in the art would understand that the data, instructions, commands, information, signals, bits, symbols, and chips that may be referenced throughout the above description are advantageously represented by voltages, currents, electromagnetic waves, magnetic fields or particles, optical fields or particles, or any combination thereof.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. The various illustrative components, blocks, modules, circuits, and steps have been described generally in terms of their functionality. Whether the functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans recognize the interchangeability of hardware and software under these circumstances, and how best to implement the described functionality for each particular application.
As examples, the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented or performed with a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components such as, e.g., registers and First In First Out (FIFO) type, a processor executing a set of firmware instructions, any conventional programmable software module and a processor, or any combination thereof designed to perform the functions described herein. The processor may advantageously be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. The software modules could reside in Random Access Memory (RAM), FLASH memory, Read Only Memory (ROM), Electrically Programmable ROM (EPROM) memory, Electrically Erasable Programmable ROM (EEPROM), registers, hard disk, a removable disk, a Compact Disk-ROM (CD-ROM), or any other form of storage medium known in the art. The processor may reside in an ASIC (not shown). The ASIC may reside in a telephone (not shown). In the alternative, the processor may reside in a telephone. The processor may be implemented as a combination of a DSP and a microprocessor, or as two microprocessors in conjunction with a DSP core, etc.
The previous description of the preferred embodiments is provided to enable any person skilled in the art to make or use the present invention. The various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without the use of the inventive faculty. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The present Application for patent is a Continuation and claims priority to patent application Ser. No. 09/697,372 entitled “Method and Apparatus for Determining a Data Rate in a High Rate Packet Data Wireless Communications System” filed Oct. 25, 2000, now U.S. Patent No. 6,973,098, and assigned to the assignee hereof and hereby expressly incorporated by reference herein. The present invention related to the following U.S. Application for patent: U.S. Patent Application No. 08/963,386 entitled “METHOD AND APPARATUS FOR HIGH RATE PACKET DATA TRANSMISSION,” filed on Nov. 3, 1997, now U.S. Pat. No. 6,574,211, issued Jun. 3, 2003 to Padovani et al., and assigned to the assignee hereof which is hereby expressly incorporated by reference herein; and to: U.S. Patent Application No. 09/697,375, filed Oct. 25, 2000, now U.S. Patent No. 7,068,683, entitled METHOD AND APPARATUS FOR HIGH RATE PACKET DATA AND LOW DELAY DATA TRANSMISSIONS, and assigned to the assignee hereof.
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Number | Date | Country | |
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20050254465 A1 | Nov 2005 | US |
Number | Date | Country | |
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Parent | 09697372 | Oct 2000 | US |
Child | 11165882 | US |