CN101189823B - CQI and rank prediction for list sphere decoding and ML MIMO receivers - Google Patents

Abstract

Systems and methodologies are described that facilitate integrating a list-sphere decoding design in a multiple input-multiple output (MIMO) wireless communication environment. According to various aspects, optimal rank selection and CQI computation for an optimal rank can be performed in conjunction with a non-linear receiver, such as a maximum likelihood (ML) MMSE receiver, a non-linear receiver with a list-sphere decoder, and the like. Optimal rank selection can be performed using a maximum rank selection protocol, a channel capacity-based protocol, or any other suitable protocol that facilitates rank selection, and CQI information can be generated based in part on effective SNRs determined with regard to a selected optimal rank.

Description

For list sphere decoding and the CQI of ML MIMO receiver and the method and apparatus of rank perdiction

Cross reference

The application is that the part of the U.S. Patent application that is entitled as " CQI AND RANK PREDICTION FOR LIST SPHERE DECODING AND MIMO ML RECEIVER (for CQI and the rank perdiction of list sphere decoding and MIMO ML receiver) " of the agent docket 050695 submitted on May 25th, 2006 continues, it requires the U.S. Provisional Application S/N.60/686 that is entitled as " CQI AND RANK PREDICTION IN LIST SPHERE DECODING (CQI in list sphere decoding and rank perdiction) " submitted on June 1st, 2005, the U.S. Provisional Application S/N.60/691 that is entitled as " METHOD OF LIST SPHERE DECODING FOR MIMO RECEIVERS (for the list sphere decoding method of MIMO receiver) " that on June 16th, 646 and 2005 submitted to, 722 priority.These applications are quoted and are contained in this by integral body.

Background

I. field

Below explanation relates generally to radio communication, relates in particular in the non-linear receiver adopted in wireless communications environment and carries out order calculating.

II. background

Wireless communication system has become the means prevailing that whole world most people is used communication.It is less and more powerful with the needs that meet the consumer and strengthen portability and convenience that Wireless Telecom Equipment has become.Enhancing such as disposal ability in the mobile device of cell phone etc. causes the increase to the wireless network transmission system demand.This type systematic is easy to be updated usually unlike the cellular device communicated thereon.Along with the expansion of mobile device capability, so that take full advantage of and newly with mode improved wireless device capabilities, safeguard that older Radio Network System may be difficult.

Especially, technology based on frequency division is divided into different channels by frequency spectrum being split into to unified bandwidth piece usually, for example, for the frequency band of allocated for wireless communication can be split into 30 channels, but wherein each voice-bearer dialogue, or in the situation that digital service can carry numerical data.Each channel can be assigned to only user at every turn.A kind of known modification is effectively overall system bandwidth to be divided into to the orthogonal frequency division technique of a plurality of orthogonal subbands.These subbands also are known as tone, carrier wave, subcarrier, frequency slots (bin) and/or frequency channels etc.Each subband is associated with a subcarrier of data available modulation.In the situation that adopt the technology based on the time-division, frequency band is split into timeslice or the time slot of order by the time.Each user of channel is provided a timeslice to send and receive information in a looping fashion.For example, at any given time t, the user is provided very short a burst of access to channel.Then, access is switched to another user, and this user is provided very short a burst of time to send and receive information." in turn " circulation is proceeded, and finally each user has been provided a plurality of sending and receiving paroxysms.

The technology of dividing based on code transmits data usually on a plurality of frequencies available on any time in a scope.Generally speaking, data are digitized and expand on available bandwidth, and wherein a plurality of users can be superimposed on channel, and each user can be assigned a unique sequence code.The user can transmit in same wide-band chunk of spectrum, wherein each user's signal with its separately unique extended code expand on whole bandwidth.It is shared that this technology can provide, and wherein one or more users are sending and receiving concomitantly.Shared can the realization by spread spectrum digital modulation like this, wherein user's bit stream is encoded and expands across the channel of a non-constant width with pseudo-random fashion.Receiver is designed to identify the unique sequence code be associated, and cancels this randomization and come to collect the bit corresponding to a specific user with coherent manner.

Typical cordless communication network (for example, adopt frequency division, time-division, and a code minute technology) one or more movements (for example, wireless) terminal of comprising one or more base stations that overlay area is provided and can transmitting and receive data in this overlay area.Typical base station can send a plurality of data flow corresponding to broadcast, multicast and/or unicast services simultaneously, and wherein data flow is the stream of the interesting independent data that receive of mobile terminal.Mobile terminal in the coverage of this base station may be interested in to receive by one of the combined-flow carrying, more than one or all data flow.Similarly, mobile terminal can be to base station or another mobile terminal send data.This between base station and mobile terminal or between mobile terminal communicated by letter may be because of channel variation and/or interference power variations and deteriorated.

Conventional wireless system is because of the adaptive communications technology that can't provide support in non-linear receiver such as computation complexity, processing expenditure.Therefore, in this area, exist in this type of Radio Network System, improving the system of throughput and/or the needs of method.

Summary

Below provide the simplification summary of one or more embodiment so that the basic comprehension to this type of embodiment to be provided.Detailed the combining of the not all embodiment contemplated of this summary look at, and neither is intended to point out out the key or decisive key element of all embodiment, the also non-scope that is intended to define any or whole embodiment.Its pure purpose is to provide in simplified form some concepts of one or more embodiment to think the order of the more specific description provided after a while.

According to one or more embodiment and corresponding disclosure thereof, be combined in the mimo wireless communication environment that order is selected and CQI calculates to describe various aspects for the non-linear receiver such as ML-MMSE receiver etc. is carried out.According to an aspect, a kind of method of calculating order in wireless communications environment in non-linear receiver in subscriber equipment can comprise: at non-linear receiver place, receive a signal transmission, at non-linear receiver place, receive a signal transmission, from the transmission channel that receives this signal transmission thereon, generate a plurality of submatrixs, these submatrixs are carried out to Q-R to be decomposed and derives upper triangular matrix separately, for one or more possible transmission rank are determined effective SNR, for all possible order of this signal transmission is determined channel capacity tolerance, and select the maximized order of channel capacity is transmitted.This non-linear receiver can be the non-linear receiver of maximum likelihood (ML) least mean-square error (MMSE), and this wireless communications environment can be multiple-input and multiple-output (MIMO) single codeword (SCW) wireless communications environment.

Another aspect relates to a kind of radio communication device of being convenient to calculate in the non-linear receiver in subscriber equipment order in wireless communications environment, and it can comprise: non-linear receiver has the signal of a plurality of layers for reception; Memory, for the storage information relevant with the order computational algorithm; And the processor that is coupled to this memory, for adopting the order computational algorithm, determine optimal rank for the signal received, from the transmission channel that receives this signal transmission thereon, generate a plurality of submatrixs, these submatrixs are carried out to Q-R to be decomposed, derive upper triangular matrix separately, and determine effective SNR for one or more possible transmission rank.This non-linear receiver can utilize list-ball (list-sphere) decoding agreement by the signal decoding received.This device can further comprise: the capacity-mapped assembly, at least one submatrix assessment transmission capacity of layer that at least one is received; And the order evaluation component, for sign, have the optimal rank of the highest average transmission capacity.In addition, this processor can generate the report for the CQI in the function of backward power control channel, and can append one 2 bit optimal rank identifiers to it.

Another aspect relates to a kind of Wireless Telecom Equipment, comprising: the device of carrying out the non-linear decoded agreement for the multilayer signal to receiving at the subscriber equipment place; For the transmission channel from receiving this signal transmission thereon, generate the device of a plurality of submatrixs; Q-R decomposes and the device of the upper triangular matrix separately of deriving for these submatrixs are carried out; Be used to one or more possible transmission rank to determine the device of effective SNR; Be used to each possible order of the signal received to determine the device that channel capacity is measured; And on the function of backward power control channel, sending the device of the information and the CQI information that relate to optimal rank.This equipment can comprise in addition: be used to carrying out the device of list-ball decoding agreement with the signal decoding that will receive; For submatrix being carried out to the device of capacity-mapped; And be used to each submatrix to determine the device of effective signal-to-noise ratio (SNR).In addition, this equipment can comprise: for based on the effective SNR be associated with optimal rank, generating at least in part the device of the CQI information of the signal that relates to reception.Should can on the function of backward power control channel, once send CQI and order information by about every 5ms for the device sent.

Another aspect relates on it computer-readable medium that stores computer executable instructions, these computer executable instructions are for adopting the non-linear decoded agreement by the multilayer signal decoding received at subscriber equipment, from the transmission channel that receives this signal transmission thereon, generate a plurality of submatrixs, these submatrixs are carried out to Q-R to be decomposed and derives upper triangular matrix separately, for one or more possible transmission rank are determined effective SNR, for all possible order of this signal transmission is determined channel capacity tolerance, and select to make the maximized order of channel capacity to transmit.

Another aspect provides a kind of processor of carrying out instruction, these instructions are for adopting the non-linear decoded agreement by the multilayer signal decoding received at subscriber equipment, from the transmission channel that receives this signal transmission thereon, generate a plurality of submatrixs, these submatrixs are carried out to Q-R to be decomposed and derives upper triangular matrix separately, for one or more possible transmission rank are determined effective SNR, for all possible order of this signal transmission is determined channel capacity tolerance, and select to make the maximized order of channel capacity to transmit.

For before realizing, address relevant purpose, the one or more embodiment has comprised in following abundant description the feature that particularly points out in claims.Below explanation and accompanying drawing have been illustrated some illustrative aspects of the one or more embodiment in detail.But these aspects only indicated in the variety of way of the principle that can adopt each embodiment certain some, and described embodiment is intended to contain all these aspects and equivalent aspect thereof.

Brief Description Of Drawings

Fig. 1 illustrates a kind of wireless network communications system according to each embodiment provided herein.

Fig. 2 is the diagram according to a kind of multi-address radio communication system of one or more embodiment.

Fig. 3 is the diagram of being convenient to the SWC transmitter in wireless device is carried out the system of rank perdiction according to one or more aspects.

The grid that Fig. 4-6 illustrate list according to one or more aspects described herein-ball decoding agreement and optimization thereof means.

Fig. 7 illustrate according to one or more aspects in the non-linear receiver accessed terminal, carrying out the method for selecting based on the order of capacity.

Fig. 8 is the method for selecting in conjunction with the maximum order of single codeword communication design execution in the non-linear receiver accessed terminal according to the various aspects of setting forth herein.

Fig. 9 is the method for the definite order of the non-linear receiver based on least mean-square error (MMSE) accessing terminal according to one or more aspects of setting forth herein.

Figure 10 is the diagram according to the subscriber equipment of the order of calculating the transport layer received in wireless communications environment herein in the non-linear receiver of being convenient to adopt of one or more aspects of setting forth.

Figure 11 is the diagram of being convenient to upgrade for the subscriber equipment that adopts non-linear receiver the system of order in wireless communications environment according to various aspects.

Figure 12 is the diagram of the wireless network environment that can adopt in conjunction with each system and method described herein.

Figure 13 is a kind of diagram of being convenient to carry out the device of rank perdiction in the non-linear receiver accessed terminal according to one or more aspects.

Illustrate

With reference now to accompanying drawing, each embodiment is described, wherein run through each accompanying drawing and with identical Reference numeral, indicate similar key element all the time.In the following description, for ease of explaining, many details have been set forth to the thorough understanding to one or more embodiment is provided.But obviously, without these details, also can implement this type of embodiment.In other examples, known structure and equipment illustrate so that describe one or more embodiment with the block diagram form.

As used in this application, term " assembly ", " system " etc. mean computer related entity, no matter are hardware, software, executory software, firmware, middleware, microcode and/or its combination in any.For example, assembly can be but be not limited to, the thread of the process of moving on processor, processor, object, executable code, execution, program and/or computer.One or more assemblies can reside in the thread of process and/or execution, and assembly can localization on a computer and/or be distributed between two or many computers.These assemblies also can store from it the various computer-readable mediums of various data structures and carry out.These assemblies can be by means of this locality and/or remote process, such as the signal according to having one or more packets communicate by letter (for example, from local system in, another assembly in distributed system and/or across the data of an assembly of the network interaction such as internet etc., communicate by letter with other system by means of this signal).In addition, the assembly of system described herein can be rearranged and/or be supplemented by additional assembly so that realize about its described various aspects, purpose, advantage etc., and the precise forms that is not limited to illustrate in Given Graph that can recognize as those skilled in the art.

In addition, at this, be to combine subscriber station to describe each embodiment.Subscriber station also can be called as system, subscriber unit, mobile radio station, moving machine, distant station, access point, remote terminal, accesses terminal, user terminal, user agent, subscriber equipment or user facility.Subscriber station can be that cell phone, cordless telephone, Session initiation Protocol (SIP) phone, wireless local loop (WLL) are stood, personal digital assistant (PDA), have the portable equipment of wireless connections ability or be connected to other treatment facilities of radio modem.

In addition, but the programming of various aspects described herein or feature Application standard and/or engineering are embodied as method, device or goods.Be intended to contain can be from the computer program of any computer readable device, carrier or medium access for term " goods " as used herein.For example, computer-readable medium (for example can include but not limited to magnetic storage apparatus, hard disk, floppy disk, tape ...), CD (for example, compact disk (CD), digital versatile disc (DVD) ...), smart card and flash memory device (for example, card, rod, key actuated device ...).In addition, various storage mediums described herein can represent one or more equipment and/or the other machines computer-readable recording medium be used to the information of storing.Term " machine readable media " can include but not limited to wireless channel and can store, comprises and/or carry various other media of instruction and/or data.

Referring now to Fig. 1,, basis shown in figure is the wireless network communications system 100 of each given embodiment herein.Network 100 can be included in the one or more base stations 102 in one or more sectors, and they towards each other and/or to one or more mobile devices 104, carry out transmission, relaying of wireless communication signals etc.As those skilled in the art, can recognize, each base station 102 can comprise transmitter chain and receiver chain, it separately and then comprise a plurality of assemblies (for example, processor, modulator, multiplexer, demodulator, demultiplexer, antenna etc.) that are associated with the signal sending and receiving.Mobile device 104 can be for example cell phone, smart phone, laptop computer, hand-held communication device, Handheld computing device, satelline radio, global positioning system, PDA and/or any other the suitable equipment for communicating on wireless network 100.

According to various aspects described herein, for example, when adopting MIMO-MMSE receiver (, in base station 102 and/or subscriber equipment 104), can relatively easily carry out rank perdiction and CQI and calculate.But when utilizing list-ball decoder technique, rank perdiction and CQI calculate may have more because of the non-linearity of receiver challenge.Conventional system and/or method can not be supported in integrated list-ball decoder design in mimo system, therefore can not utilize the performance benefit of list-ball decoder design.Given various aspects have been described and can be convenient to realize system and/or the method for list-ball decoder to improve systematic function in mimo systems herein.For example, can be if will based on the ball decoder, had this hypothesis of capacity breach to utilize the tolerance of mimo channel capacity as CQI and rank perdiction at least in part as described in further detail following.

Referring now to Fig. 2,, there is shown the multi-address radio communication system 200 according to one or more embodiment.System 200 is to provide for the purpose of illustration, and can utilize in conjunction with the following various aspects of setting forth.3 sector base stations 202 comprise a plurality of antenna groups: one comprises antenna 204 and 206, and another comprises that antenna 208 and 210, the three comprise antenna 212 and 214.According to this figure, every day, line-group only illustrated two antennas, but every day, line-group can be used more or less antenna.Mobile device 216 is communicated by letter with 214 with antenna 212, wherein antenna 212 and 214 on forward link 220 to mobile device 216 transmission information, and on reverse link 218 from mobile device 216 reception information.Mobile device 222 is communicated by letter with 206 with antenna 204, wherein antenna 204 and 206 on forward link 226 to mobile device 222 transmission information, and on reverse link 224 from mobile device 222 reception information.

Every day, line-group and/or their zones of being specified in wherein communication often were known as 202De sector, base station.In one embodiment, antenna groups are designed to separately to the mobile device communication in the sector in the zone being covered by base station 202.That on forward link 202 and 226, carries out communicates by letter, and the transmitting antenna of base station 202 can utilize beam forming technique to improve the signal to noise ratio corresponding to the forward link of different mobile devices 216 and 222.In addition, with base station, launch and compare to all mobile devices in its overlay area by individual antenna, base station utilizes beam forming to carry out emission to random dispersion everywhere mobile radio station in its overlay area can cause less interference to the mobile device in contiguous cellular cell/sector.Base station can be for the fixed station with terminal communication, and also can be called as access point, B node or other certain terms.Mobile device also can be called as mobile radio station, user facility (UE), Wireless Telecom Equipment, terminal, accesses terminal, subscriber equipment or other certain terms.

According to one or more aspects, subscriber equipment 216 and 222 and base station 202 can use single codeword (SCW) design with rank perdiction in conjunction with the MIMO-MMSE receiver.This type of receiver that use has a SCW design can be convenient to shorten the performance gap between the design that SCW design and many code words (MCS) reach capacity.For example, the list sphere decoding technology designed for SCW can realize being up to the gain of 1.5dB for the signal to noise ratio lower than 15dB (SNR), and can provide for the SNR that is greater than 20dB the gain that is up to 3.5dB.

The MIMO Receiver Design can have two kinds of mode of operations: single codeword (SCW) and many code words (MCS).The MCW pattern can reach capacity, because transmitter can independently and may be coded in the data that send on each space layer with different rates.Receiver adopts continuous interference cancellation (SIC) algorithm of following work: decode the 1st layer; After recompile, it is contributed from the signal received, deducting; The 1st layer of having encoded multiplied each other with " channel of estimation "; Decode the 2nd layer, the rest may be inferred.The method of this " stripping onion formula " means that each layer of decoding in succession can experience the SNR increased, and therefore can support higher transmission rate.In the situation that there is no error propagation, the MCW design with SIC feature can reach capacity.But, a kind of so careful management of speed of each space layer of designing requirement, because the CQI feedback has increased (CQI of every one deck), the ACK/NACK information receiving has increased (one of every one deck), mixing request (HARQ) agreement automatically can stop becoming intricate because of every one deck in the difference transmission, SIC wipes and has the performance sensitive degree Doppler effect and CQI, the stand-by period requirement that can not decodedly cause decoding because of each pantostrat before previous each layer is decoded improves, due to will be for the signal of all channels of the storages such as a plurality of transmission and reception so that carry out the memory requirement raising that interference cancellation etc. causes having the AT place of HARQ.

Correspondingly, wherein transmitter can be the desirable alternative of MCW design with the SCW Model Design that substantially similar and/or data transfer rate that equate are coded in the data that send on each space layer.According to channel sight and SNR, on the basis by grouping, adjust a plurality of space layer (for example, order) to carry out rank perdiction.Receiver can be to the linear receiver of each the employing low complex degree in the tone of a plurality of receptions.The SCW design can alleviate the above-mentioned complexity that realizes of MCW design thus.For example, because 90% user in WAN environment has<SNR of 15dB usually, so the SCW design can be the desirable alternative of MCW design.

Fig. 3 is the diagram of being convenient to the SCW transmitter in wireless device is carried out the system 300 of rank perdiction according to one or more aspects.System 300 comprises turbo encoder 302, QAM map component 304 and rate prediction assembly 306, and they handle the input received, and that encoded, signal through shining upon are offered to demultiplexer 308.Then the code element of having encoded decomposes to generate satisfied 1≤M≤min (M by demultiplexer 308 multichannels _T, M _R) M stream or layer, wherein M as 5 bit CQI feedback informations supplement, about every 5ms is by the 2 bit order information segments of receiver 318 via feedback appointment in reverse link CQI control channel.Then M stream be mapped to M by spatial mappings assembly 310 _TIndividual antenna, the remainder of after this transmission process and SISO design are similar.Then a plurality of corresponding OFDM modulators 312,314 and 316 can modulate this M _TStream is for M _TIndividual antenna transmission.

Spatial mappings assembly 310 (for example, precoder) can be each OFDM tone k and generates M symbol mapped to M _TM on individual antenna _T* Metzler matrix P (k).Spatial mappings assembly 310 can adopt a plurality of options by symbol mapped during to antenna.According to an example, can consider M _R* M _TMimo channel H ( k).The precoder matrix can be selected to and make equivalent channel matrix H (k) P (k) compare the frequency selectivity with improvement with H (k).Decoder can utilize the frequency selectivity of improvement to obtain frequency diversity gain.

Fig. 3 further illustrates a plurality of reception antennas 1 to M _R, wherein each is connected to separately the OFDM solution device 320,322 and 324 that withers, they so that be coupled to list-ball decoder (LSD) 326.LSD 326 can be by the basis of tone, realizing, wherein for each tone, M _RThe processed M of thinking code element of the individual signal received generates log-likelihood ratio (LLR), and wherein M is order.For example, LSD 326 can to CQI and information is provided order computation module 328 so that about every 5ms generates one 5 bit CQI report and one 2 bit order designators.LSD 326 can provide 1 to M data flow in addition to multiplexer 330, by multiplexed these data flow of multiplexer 330 and provide individual signals to LLR assembly 332.The signal that then LLR assembly 332 will have LLR information offers turbo decoder 334, by turbo decoder 334, data-signal is decoded.

The normally used MMSE receiver of SCW design is linear receiver, and it is decoupled into a plurality of SISO channels by mimo channel, at the number of this SISO channel, equals the order of MIMO transmission.By comparison, LSD 326 can utilize sphere decoding technique, it be to the low complex degree of maximum likelihood (ML) MIMO decoder (non-linear) force into, therefore with linear MMSE receiver, compare and can realize superior performance.For orthogonal channel, the MMSE receiver will be substantially similar and/or equal each other with the performance of described LSD 326.For example, if MR is the number of reception antenna and M is the order of given MIMO transmission, corresponding to the system equation of giving tone, can be defined as:

x＝Hs+n

Wherein H is the mimo channel (M of every tone _R* M), x is the reception signal phasor (M of every tone _R* 1), s is the transmission symbol vector (M * 1=[s of every tone ₁S ₂S _M]), and wherein n is the noise vector (M of every tone _R* 1).

ML MIMO separates given as follows:

$\hat{s}=\underset{s\&Element;\mathrm{\&Lambda;}}{\arg \max }{\left|\right|x-\mathrm{Hs}\left|\right|}^2$

If directly realize, the number (M) of complexity and MIMO layer and the rank of symbol constellations are exponential relationship.But LSD 326 can force the performance of separating into ML, has reduced thus computation complexity.According to an example, QR decomposes can be defined as H=QR, and wherein Q is M _R* Metzler matrix, and R is upper triangle M * Metzler matrix.The ZF solution can be defined as: $\hat{s}={\left(H^{*}H\right)}^{-1}{H}^{*}x$

Thus:

${\hat{s}}_{\mathrm{ML}}=\underset{s\&Element;\mathrm{\&Lambda;}}{\arg \mathrm{mi}}{\left|\right|x-\mathrm{Hs}\left|\right|}^2$

$=\underset{s\&Element;\mathrm{\&Lambda;}}{\arg \min }[{(s-\hat{s})}^{*}{H}^{*}H(s-\hat{s})+x^{*}(I-H{\left(H^{*}H\right)}^{-1}{H}^{*})x]$

$\&le;\underset{s\&Element;\mathrm{\&Lambda;}}{\arg \min }{(s-\hat{s})}^{*}{H}^{*}H(s-\hat{s})=r^2$ (the r=radius of a ball)

$=\underset{s\&Element;\mathrm{\&Lambda;}}{\arg \min }{(s-\hat{s})}^{*}{R}^{*}R(s-\hat{s})$

$=\underset{s\&Element;\mathrm{\&Lambda;}}{\arg \min }\underset{i=1}{\overset{M}{\mathrm{\&Sigma;}}}{R}_{\mathrm{ii}}^2{[s_i-{\hat{s}}_i+\underset{j=i+1}{\overset{M}{\mathrm{\&Sigma;}}}\frac{R_{\mathrm{ij}}}{R_{\mathrm{ii}}}(s_j-{\hat{s}}_j)]}^2={\mathrm{<figure-callout\; id="2"\; label="r"\; filenames="S2006800196985E00021.png,S2006800196985E00031.png"\; state="\{\{state\}\}">r</figure-callout>}}^2$

Thus, according to formula (1), LSD 326 is only by checking that radius is that each point in the ball of " r " just can avoid the ML of exhaustive to search for.

LSD assembly 326 can be carried out following algorithm.One value i can be made as and make i=M.The left-hand side of formula (1) becomes ${\mathrm{<figure-callout\; id="2"\; label="R\; MM"\; filenames="S2006800196985E00021.png,S2006800196985E00031.png"\; state="\{\{state\}\}">R</figure-callout>}}_{\mathrm{MM}}^{}{\left|\right|s_M-{\hat{s}}_M\left|\right|}^2,$ S wherein _M∈ Λ _M, Λ _MIt is the constellation that the M layer is used.Can search for each candidate constellation points, and can select to make ${\mathrm{<figure-callout\; id="2"\; label="R\; MM"\; filenames="S2006800196985E00021.png,S2006800196985E00031.png"\; state="\{\{state\}\}">R</figure-callout>}}_{\mathrm{MM}}^{}{\left|\right|s_M-{\hat{s}}_M\left|\right|}^2\&le;{\mathrm{<figure-callout\; id="2"\; label="r"\; filenames="S2006800196985E00021.png,S2006800196985E00031.png"\; state="\{\{state\}\}">r</figure-callout>}}^2$ Candidate constellation points

Value i can be reset subsequently so that i=M-1.The left-hand side of formula (1) becomes now

$R_{M-1,M-1}^2{[s_{M-1}-{\hat{s}}_{M-1}+\frac{R_{M-1,M}}{R_{M-1,M-1}}({\stackrel{\&OverBar;}{s}}_M-{\hat{s}}_M\left)\right]}^2+{\mathrm{<figure-callout\; id="2"\; label="R\; MM"\; filenames="S2006800196985E00021.png,S2006800196985E00031.png"\; state="\{\{state\}\}">R</figure-callout>}}_{\mathrm{MM}}^{}{\left|\right|s_M-{\hat{s}}_M\left|\right|}^2,$ Wherein ${\stackrel{\&OverBar;}{s}}_{M-1}\&Element;{\mathrm{\&Lambda;}}_{M-1},$ Λ _M-1It is the constellation that (M-1) layer is used.For the SCW design, the constellation that all layers are used can be identical (for example, Λ _m=Λ, M=1,2 ..., M).For set point

Can select to meet a constellation point of following formula

$R_{M-1,M-1}^2{[{\stackrel{\&OverBar;}{s}}_{N-1}-{\hat{s}}_{M-1}+\frac{R_{M-1,M}}{R_{M-1,M-1}}({\stackrel{\&OverBar;}{s}}_M-{\hat{s}}_M)]}^2+{\mathrm{<figure-callout\; id="2"\; label="R\; MM"\; filenames="S2006800196985E00021.png,S2006800196985E00031.png"\; state="\{\{state\}\}">R</figure-callout>}}_{\mathrm{MM}}^{}{\left|\right|s_M-{\hat{s}}_M\left|\right|}^2\&le;{\mathrm{<figure-callout\; id="2"\; label="r"\; filenames="S2006800196985E00021.png,S2006800196985E00031.png"\; state="\{\{state\}\}">r</figure-callout>}}^2.$ If without any the point Can supply

Select, i can be reset to and equal M, and can select another

For given a pair of

I can be set as and make i=M-2, and can select to drop on the point in radius " r "

These actions can be separated the vector point until obtain one repeatedly $[{\stackrel{\&OverBar;}{s}}_M,{\stackrel{\&OverBar;}{s}}_{M-1},{\stackrel{\&OverBar;}{s}}_{M-2},...{\stackrel{\&OverBar;}{s}}_l].$

Then can be in the situation that the vector point obtained more than supposition recalculates the left-hand side of formula (1) to obtain new radius r _Update.Then, r can be redefined as r ← r _Update, and can in this new r, repeat aforementioned activities until obtain the ML solution.Can recognize, the iteration radius of a ball will shrink each time, before obtaining the ML solution, only need to assess thus a subset of candidate point, provide thus and use that routine techniques institute obtainablely compares sooner, more high efficiency solution.

LSD 326 generates the MIMO-MAP decoder of soft information for the turbo decoder, and is based on the principle of ball decoder.In ball decoder technique as described above, like that, the radius of a ball " r " can be selected, and can carry out similar action and select the candidate solution vector $[{\stackrel{\&OverBar;}{s}}_M,{\stackrel{\&OverBar;}{s}}_{M-1},{\stackrel{\&OverBar;}{s}}_{M-2},...{\stackrel{\&OverBar;}{s}}_l],$ And calculate by

The cost be associated provided.Then a function [candidate, cost] can be added in " candidate list ".This process can be by repeatedly until have obtained N in " candidate list " _CandIndividual candidate solution.By replacing in candidate list those candidate solution vectors with tip heigh, just all the other the candidate solution vectors in radius " r " can be added in candidate list.

For example, make M _cFor modulation order, and make that M is the order of MIMO transmission.In each tone, can transmit MM altogether thus _cIndividual bit.

K=1,2 ... MM _cEach bit b _kSoft extrinsic information (for example, LLR) be approximately:

$L_E\left(b_k\right|x)\&ap;{\underset{b_k=1}{\max }}^{*}\{-\frac{1}{{\mathrm{\&sigma;}}^2}{\left|\right|x-{\mathrm{Hs}}_{<b_k=1>}\left|\right|}^2+b_{\left[k\right]}^T\&CenterDot;L_{A,\left[k\right]}\}-$

${\underset{b_k=-1}{\max }}^{*}\{-\frac{1}{{\mathrm{\&sigma;}}^2}{\left|\right|x-{\mathrm{Hs}}_{<b_k=-1>}\left|\right|}^2+b_{\left[k\right]}^T\&CenterDot;L_{A,\left[k\right]}\}---\left(2\right)$

Wherein $s_{<b_k=1>}={\left[\begin{array}{ccccc}{s}_1& {\mathrm{<figure-callout\; id="2"\; label="s"\; filenames="S2006800196985E00021.png,S2006800196985E00031.png"\; state="\{\{state\}\}">s</figure-callout>}}_2& ...& ...& s_M\end{array}\right]}_{<b_k=1>}$ Comprise b _kAll candidate solution vectors of=1; σ ²It is noise variance; b _[k]=[b ₁B _K-1b _K+1] be by getting rid of b _kAnd the sub-vector of the bit obtained; L _{A, [k]}=, L _{A, [1]}[k-1] LA, [k+1]

About in vector b _[k]In the vector of priori LLR information of all bits of corresponding existence, and max* (a, b)=ln (e wherein ^a+ e ^b).

The grid that Fig. 4-6 illustrate list according to one or more aspects described herein-ball decoder and optimization thereof means.With reference to figure 4, show and have the M level corresponding with the order of MIMO transmission and the M corresponding with the number of constellation point _cThe grid of individual state means 400.According to an example, for 16 qam constellations and order 4 transmission, M=4 and M _c=4.The Optimal Parameters of describing the relation between complexity and performance is N _Cand.In this example further, definable N _Cand=2.Can be for all constellation point assessed cost functions

And can retain the N that represents minimum cost _CandIndividual point.If N _Cand>2 ^Mc, can retain 2 ^McIndividual, as shown in the stain by Fig. 4.For each in selected each point, corresponding to the M of (M-1) layer _cThe cost of individual candidate constellation points can be calculated as:

$R_{M-1,M-1}^2{[{\stackrel{\&OverBar;}{s}}_{M-1}-{\hat{s}}_{M-1}+\frac{R_{M-1,M}}{R_{M-1,M-1}}({\stackrel{\&OverBar;}{s}}_M-{\hat{s}}_M)]}^2+{\mathrm{<figure-callout\; id="2"\; label="R\; MM"\; filenames="S2006800196985E00021.png,S2006800196985E00031.png"\; state="\{\{state\}\}">R</figure-callout>}}_{\mathrm{MM}}^{}{\left|\right|s_M-{\hat{s}}_M\left|\right|}^2.$ Can generate several candidates to [S _M, S _M-1], as shown in the dotted line by grid map 400.Note, ${\mathrm{<figure-callout\; id="2"\; label="R\; MM"\; filenames="S2006800196985E00021.png,S2006800196985E00031.png"\; state="\{\{state\}\}">R</figure-callout>}}_{\mathrm{MM}}^{}{\left|\right|s_M-{\hat{s}}_M\left|\right|}^2$ Calculate, and can be repeated at this moment to utilize.In addition, $\frac{R_{M-1,M}}{R_{M-1,M-1}}({\stackrel{\&OverBar;}{s}}_M-{\hat{s}}_M)$ Only calculated N _CandInferior, and can be calculated recycling by all the other.These observed results have reduced the overall complexity of list ball-decoding algorithm.

Forward now Fig. 5 to, there is shown grid map 500, it has been described according to various aspects and in conjunction with the further Path selection of Fig. 4.In the middle of several dashed path in Fig. 4, only provide the N of minimum cost _CandPaths and being retained from the constellation point be associated of layer M and M-1, as shown in the solid line by grid map 500.Can repeat these actions to all succeeding layers, until arrive the final step (corresponding to layer 1) of this grid, only retain the N from all previous layer at every turn _CandPaths and the constellation point be associated.N _CandPaths and candidate solution vector can be selected in this way, as shown in the final grid map 600 of Fig. 6.In case obtained candidate solution and corresponding cost, just can utilize formula (2) to obtain the LLR of each bit.Optimal Parameters N _CandMay be according to constellation size and different.In addition, N _CandCan be across at different levels and different.

With reference to figure 7-9, there is shown and relate to the method for calculating transmission rank with the non-linear receiver in accessing terminal.For example, method can relate in FDMA environment, OFDMA environment, CDMA environment, WCDMA environment, TDMA environment, SDMA environment or any other suitable wireless environment with the non-linear receiver with SCW agreement and calculates transmission rank.Although for ease of explaining, these methods are illustrated and are described as a series of actions, but be to be understood that and recognize, the order that these methods are not moved is limit, because according to one or more embodiment, some actions can by different order occur and/or can with from illustrated in herein and other actions of describing occur concomitantly.For example, those skilled in the art it will be appreciated that and recognize, method can be replaced a series of state or events of being mutually related that are expressed as, all like in state diagram like that.In addition, not all illustrative action is all that realization is necessary according to the method for one or more embodiment.

Fig. 7 illustrates the method 700 of selecting for carry out the order of decomposing based on Q-R in the non-linear receiver of subscriber equipment according to one or more aspects.4 layers of transmission of method 700 use are described, but can recognize as those skilled in the art, can use more or less layer in conjunction with system and method described herein.702, from 4 * 4 mimo channels of estimating, can derive 4 * 1,4 * 2,4 * 3 and 4 * 4 channel submatrix, be designated as $\hat{H}\left(1\right)={\mathrm{<figure-callout\; id="4"\; label="H"\; filenames="S2006800196985E00041.png,S2006800196985E00051.png"\; state="\{\{state\}\}">H</figure-callout>}}_{4\&times;1},$ $\hat{H}\left(2\right)={\mathrm{<figure-callout\; id="4"\; label="H"\; filenames="S2006800196985E00041.png,S2006800196985E00051.png"\; state="\{\{state\}\}">H</figure-callout>}}_{4\&times;2},$ $\hat{H}\left(3\right)={\mathrm{<figure-callout\; id="4"\; label="H"\; filenames="S2006800196985E00041.png,S2006800196985E00051.png"\; state="\{\{state\}\}">H</figure-callout>}}_{4\&times;3},$ $\hat{H}\left(4\right)={\mathrm{<figure-callout\; id="4"\; label="H"\; filenames="S2006800196985E00041.png,S2006800196985E00051.png"\; state="\{\{state\}\}">H</figure-callout>}}_{4\&times;4},$ And can assess it.Matrix assessment can be included in 704 carry out corresponding Q-R matrix decomposition with derive upper triangular matrix R (1), R (2) ... R (4) is as follows:

R (1)=QR[H _{4 * 1}], R (2)=QR[H _{4 * 2}], R (3)=QR[H _{4 * 3}], R (4)=QR[H _{4 * 4}] method 700 can be by carrying out Combined Treatment and carrying out from the QRM/ list of all layer estimating code elements-ball decoder all layers such as MAP/ML decoder etc.Suppose from the symbol estimation of all layers and all accurately estimated, 706, can carry out effective SNR and calculate, and be expressed as:

$\mathrm{effSNR}[M_{\mathrm{poss}},{\mathrm{\&sigma;}}^2,k]=\frac{R_{\mathrm{kk}}\left(M_{\mathrm{poss}}\right)}{M_{\mathrm{poss}}{\mathrm{\&sigma;}}^2}$ k＝1，2，...，M _poss

M wherein _Poss=1,2 ..., 4 and indicate possible transmission rank, wherein σ ²Noise variance, and R wherein _Kk(M _Poss) be matrix R (M _Poss) (k, k) individual element.The effective SNR calculated from following formula can several tones and code element present frame be used the capacity-mapped of for example 64-QAM constraint to be averaging to provide average effective SNR numeral, is designated as

708, make the order of maximum capacity can be chosen as optimal rank, for example,

$M_{\mathrm{opt}}=\underset{j=\mathrm{1,2},...\min (\mathrm{MR},\mathrm{MT})}{\arg \max }j\&times;{\mathrm{cap}}_{64}\stackrel{\&OverBar;}{\left[\mathrm{effSNR}\right[j\left]\right]}.$

The spectrum efficiency that MIMO-SCW relates to/layer can be:

$\stackrel{\&OverBar;}{C}={\mathrm{cap}}_{64}\stackrel{\&OverBar;}{\left[\mathrm{effSNR}\right[M_{\mathrm{opt}}\left]\right]}$

At the CQI of 710, MIMO-SCW transmission (order that supposition is above), can be quantified as required figure place: $\mathrm{CQI}=Q\left[\stackrel{\&OverBar;}{\mathrm{effSNR}}\right[M_{\mathrm{opt}}\left]\right].$ Then, 712, can use the function of backward power control channel that this CQI and order are feedbacked.

Fig. 8 for non-linear receiver at wireless terminal in conjunction with single codeword communication designs carry out the diagram of method 800 that maximum order select according to the various aspects of setting forth herein.According to method 800, be that the MIMO transmission selects maximum order, and can change code check and QAM to realize closing the spectrum efficiency needed.Spectrum efficiency in 802, SCW design is calculated as follows from mimo channel:

$C=\frac{1}{M}\log \det [I+\frac{E_s}{\mathrm{M\&Gamma;}{\mathrm{\&sigma;}}^2}{\mathrm{HH}}^{*}]\mathrm{bps}/\mathrm{Hz}$

Wherein M is the MIMO-SCW transmission rank, E _sIt is the total transmitting power across all antennas.Г mean the capacity breach (for example, turbo decoder breach, ball decoder breach, channel estimating loss ...), and σ ²It is the noise variance of every reception antenna.804, can be across all tone and a plurality of OFDM code element are averaging to generate average spectral efficiency (ase) to spectrum efficiency in a frame

806, can be by calculating the effective SNR of additive white Gaussian noise so that $\stackrel{\&OverBar;}{C}=\log [1+\frac{\mathrm{effSNR}}{\mathrm{\&Gamma;}}]$ And it quantized to required bit obtain CQI=Q[effSNR] calculate the MIMO-SCW transmission CQI (for example, suppose that order is 4 in 4 layers of sight, such as with reference to figure 7 description).Can recognize, with for example the 64-QAM system is opposite, can enable higher code check for 4-QAM and 16-QAM system.

Fig. 9 be according to one or more aspects of setting forth herein for the diagram having the method 900 of determining order based on accessing terminal of the non-linear receiver of least mean-square error (MMSE).902, can be each the generation submatrix in a plurality of transport layers as described above.904, can determine continuous interference cancellation (SIC) capacity of each matrix.906, can carry out capacity-mapped to every one deck, and can determine its effective SNR.According to an example, can determine that order 2 is optimum in certain scenarios.In this situation, can be evaluated and be averaging corresponding to the diagonal element in the matrix of the layer of order 2.In addition, can assess the corresponding entry of a matrix element of layer with order 1, and can be by the average addition (for example,, because these layers are continuous) of the capacity of the element of 2 layers of its capacity and orders.Thus, 908 can be by these capacity additions, thereby the average size that makes the total capacity of order 2 equal all layers of order 2 adds the capacity of 1 layer of order.910, can repeat the method to all orders.912, can select to show the order of high total capacity.Then about every 5ms once returns to selected order with the CQI report as described above.

Can recognize, according to one or more aspects described herein, can make the deduction about the assessment of the order in non-linear receiver, when adopt algorithm associated with it, whether adopt non-linear receiver agreement, etc.As used herein, term " infer (verb) " or " inferring (noun) " generally refer to from via event and/or data capture to one group of observed quantity carry out the process of reasoning or inference system, environment and/or user's state.For example, can adopt and infer and to identify specific context or action, the probability distribution on maybe can the generation state.Deduction can be probability---the probability distribution on interested state is calculated in the consideration that is based on data and event.Infer and can also refer to for from one group of event and/or data, being combined into the technology of the event of higher level.This type of deduction causes building from the event data of one group of event of observing and/or storage the event made new advances, these events close association whether in time no matter, and also no matter these events and data come from one or several event and data source.

According to an example, the one or more methods that more than provide can comprise makes about whether the deduction of adopting non-linear decoded device as above in comprising the system of double decoding ability etc.For example, in not only having line decoder but also have the subscriber equipment of non-linear decoded device, can make about Resource Availability, with the signal strength signal intensity of the transmission of the computing cost that adopts arbitrary decoder to be associated, reception and/or with make the line decoder agreement and whether be enough to realize closing the output that needs or the deduction of definite relevant any other suitable information of nonlinear solution code plan whether preferably.In this type of situation, can draw an inference so that conserve system resources is improved user's communication experiences etc.For example, if battery life is the problem place, abandoning the rank correlation agreement of being combined with non-linear receiver may be desirable to reduce computing cost and to keep as far as possible battery life.Otherwise, at battery life, not in the situation at problem place, can infer and will strengthen communication experiences, it is desirable using non-linear receiver, even if in the situation that may to need more multiprocessing power be also like this.Can recognize, above example is illustrative in essence, and not is intended to limit the number of the deduction that can make in conjunction with each embodiment described herein and/or method or the mode that can make this type of deduction.

Figure 10 is the diagram according to the subscriber equipment 1000 of the order of calculating the transport layer received in wireless communications environment herein in the non-linear receiver of being convenient to adopt of one or more aspects of setting forth.Subscriber equipment 1000 comprises receiver 1002, for example, for from for example reception antenna (not shown), receiving signal and the signal received (being carried out to typical action, filtering, amplification, down-conversion etc.), and will be signal digitalized to obtain sample through what adjust.Receiver 1002 can be non-linear receiver, such as maximum likelihood (ML)-MMSE receiver etc.But the pilot frequency code element that demodulator 1004 demodulation receive also provides it to processor 1006 and carries out channel estimating.Processor 1006 can be exclusively used in the received information of analysis receiver 1002 and/or generate processor for the information of transmitter 1016 emissions, control controller and/or the both information that receives of analysis receiver 1002 of one or more assemblies of subscriber equipment 1000, generate the information for transmitter 1016 emissions, control again the processor of one or more assemblies of subscriber equipment 1000.

Subscriber equipment 1000 can comprise memory 1008 in addition, in its operation, be coupled in processor 1006, and be used to the subscriber equipment 1000 storage information relevant with the order calculated, order calculating agreement, comprise relevant with it information look-up table and for as described in this article in the non-linear receiver of wireless communication system support list-ball decode to calculate any other suitable information of order.Memory 1008 can be stored the agreement be associated with order calculating, matrix generation etc. separately, thereby makes subscriber equipment 1000 can in non-linear receiver, utilize as described in this article the agreement of storage and/or algorithm to realize that order is definite.

Can recognize, data described herein storage (for example, memory) assembly or volatile memory can be maybe nonvolatile memory, maybe can comprise volatibility and nonvolatile memory.And non-limiting, nonvolatile memory can comprise read-only memory (ROM), programming ROM (PROM), electrically programmable ROM (EPROM), electrically-erasable ROM (EEROM) (EEPROM) or flash memory as example.Volatile memory can comprise random access memory, and it can play the effect of external cache.As example and non-limiting, RAM has many forms to use, such as synchronous random access memory (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate SDRAM (DDR SDRAM), enhancement mode SDRAM (ESDRAM), synchronization link DRAM (SLDRAM) and direct memory bus RAM (DDRAM).The memory 1008 of system and method for the present invention is intended to include but not limited to the memory of these and any other suitable type.

Processor 1006 further is coupled to capacity-mapped assembly 1010, and it can be convenient to shine upon the capacity of one or more receiving layers so that it is carried out to order determine.Subscriber equipment can further comprise order evaluator 1012, it for as herein in conjunction with aforementioned system and method the institute with describing the evaluation each receiving layer order.For example, in non-linear receiver, order evaluator 1012 can utilize the order selection algorithm based on capacity, maximum order selection algorithm or any other suitable order selection protocol to assess the order of receiving layer.Subscriber equipment 1000 also further comprises symbol modulator 1014 and the transmitter 1016 be used to launching modulated signal.

Figure 11 is the diagram of being convenient to upgrade for the subscriber equipment that adopts non-linear receiver the system 1100 of order in wireless communications environment according to various aspects.System 1100 comprises base station 1102, and it has receiver 1110 and the transmitter 1124 for launching to the one or more subscriber equipment 1104 by transmitting antenna 1108 for by a plurality of reception antennas 1106, receiving from the signal of one or more subscriber equipmenies 1104.Receiver 1110 can be from reception antenna 1106 reception information, and the demodulator 1112 of the upper demodulates information with for by reception of operation is associated.Demodulated symbol is analyzed by processor 1114, processor 1114 is similar to above processor with reference to Figure 10 description, and be coupled to memory 1116, any other suitable information that the exercises that memory 1116 is set forth for the storage information relevant with user's order, look-up table associated therewith and/or with execution are relevant with function herein.Processor 1114 further is coupled to order adjuster 1118, and order adjuster 1118 is convenient to upgrade based on the information received with the CQI report order information be associated with one or more corresponding subscriber equipmenies 1104.This type of information can receive from one or more subscriber equipmenies 1104 by about every 5ms, and 5ms is the normal space of CQI report transmission.

But modulator 1122 multiplex signals are launched to subscriber equipment 1104 by transmitting antenna 1108 for transmitter 1124.Order adjuster 1118 can append the relevant information of optimal rank after the renewal with the given transport stream that will pass on to subscriber equipment 1104 to signal, and this information can be transmitted to subscriber equipment 1104 so that the indication that identifies and confirmed new preferred channels to be provided.In this way, base station 1102 can provide order lastest imformation, and mutual in conjunction with the subscriber equipment 1104 that adopts list-ball decoding agreement such as non-linear receivers such as ML-MIMO receivers with as front as above reference figure describes.

Figure 12 illustrates example wireless communications 1200.For simplicity's sake, wireless communication system 1200 has been described a base station and a terminal.But, will be appreciated that, this system can comprise an above base station and/or an above terminal, wherein additional base station and/or terminal can be substantially similar or different with terminal to exemplary base described below.In addition, will be appreciated that, base station and/or terminal can adopt system described herein (Fig. 1-6 and 10-11) and/or method (Fig. 7-9) so that carry out betwixt radio communication.

With reference now to Figure 12,, on down link, at access point 1205 places, send (TX) data processor 1210 and receive, format, encode, interweave, also modulate (or symbol mapped) traffic data, and modulated symbol (" data symbols ") is provided.Symbol modulator 1215 receptions deal with data code element and pilot frequency code element also provide code element stream.Symbol modulator 1220 multiplexed datas and pilot frequency code element also offer transmitter unit (TMTR) 1220 by them.Each sends code element can be data symbols, pilot frequency code element or single null value.Pilot frequency code element can be continuously transmitted at each code-element period.Pilot frequency code element can be by frequency division multiplexing (FDM), OFDM (OFDM), time division multiplexing (TDM), frequency division multiplexing (FDM) or code division multiplexing (CDM).

TMTR 1220 receives each code element stream and converts them to one or more analog signals, the down link signal that these analog signals of the step of going forward side by side whole (for example, amplification, filtering and up-conversion) are adapted at transmitting on wireless channel with generation.Then this down link signal sends to terminal by antenna 1225.At terminal 1230 places, antenna 1235 receives down link signal, and the signal that will receive offers receiver unit (RCVR) 1240.Receiver unit 1240 is adjusted the signal that (for example, filtering, amplification and down-conversion) receives, and will be signal digitalized to obtain sample through what adjust.The pilot frequency code element that symbol demodulator 1245 demodulation receive also provides it to processor 1250 to carry out channel estimating.Symbol demodulator 1245 further receives for the frequency response of down link and estimates from processor 1250, the data symbols executing data demodulation received is estimated to (they are the estimations to the data symbols sent) to obtain data symbols, and these data symbols are estimated to offer RX data processor 1255, by its demodulation (that is, symbol de-maps), deinterleaving decoded data symbol estimation to recover the traffic data of transmission.The processing of being undertaken by symbol demodulator 1245 and RX data processor 1255 respectively with the processing complementation of being undertaken by symbol modulator 1215 and TX data processor 1210 at access point 1205 places.

On up link, TX data processor 1260 processes traffic data also provide data symbols.Symbol modulator 1265 receives data symbols itself and pilot frequency code element is multiplexed, carries out modulation, and code element stream is provided.Transmitter unit 1270 receives and processes this code element stream subsequently with generating uplink signal, and this uplink signal is sent to access point 1205 by antenna 1235.

At access point 1205 places, come the uplink signal of self terminal 1230 to be received by antenna 1225, and process to obtain sample by receiver unit 1275.Symbol demodulator 1280 is with these samples of reprocessing and the pilot frequency code element of reception is provided and estimates for the data symbols of up link.RX data processor 1285 is processed these data symbols and is estimated to recover the traffic data that terminal 1230 sends.Processor 1290 is carried out channel estimating for each active terminal sent on up link.A plurality of terminals can send pilot tone on up link concomitantly on its sets of pilot subbands be assigned separately, wherein these sets of pilot subbands can be interleaved.

Processor 1290 and 1250 instructs respectively the operation at (for example, control, coordination, management etc.) access point 1205 and terminal 1230 places.Corresponding processor 1290 and 1250 can with for program code stored and memory cell (not shown) data, be associated.Processor 1290 and 1250 also can be carried out to calculate and be respectively up link and down link derivation frequency and impulse response estimation.

For example, for multi-address system (, FDMA, OFDMA, CDMA, TDMA etc.), a plurality of terminals can send concomitantly on up link.For such system, can between different terminals, share each pilot subbands.In the pilot subbands for each terminal, cross over the situation of whole working band (may except band edge) and can use channel estimation technique.Such pilot subband structure will be for will be desirable for each terminal obtains frequency diversity.Technology described herein can realize by various means.For example, these technology available hardware, software or its combine to realize.For hardware, realize, the processing unit that channel estimating is used can be at one or more application-specific integrated circuit (ASIC)s (ASIC), digital signal processor (DSP), digital signal processor (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), processor, controller, microcontroller, microprocessor, be designed to carry out in other electronic unit of function described herein or its combination and realize.In the situation that adopt software, can for example, by the module (, process, function etc.) of carrying out function described herein, realize.Software module can be stored in memory cell, and is carried out by processor 1290 and 1250.

Figure 13 is the diagram of being convenient to carry out the device 1300 of rank perdiction in the non-linear receiver accessed terminal according to one or more aspects.Device 1300 is represented as a series of functional block or " modules " of being mutually related, and they can mean the function for example, realized by processor, software or its combination (, firmware).For example, device 1300 can be provided for carrying out the module of the exercises of describing such as the front figure of above reference.Device 1300 comprises for generating and assess the logic module 1302 of channel submatrix, is coupled in the logic module 1304 be used to carrying out the QR matrix decomposition in its operation.Device 1300 logic module 1306 and the logic modules 1308 be used to selecting optimal rank that further comprise be used to calculating effective SNR.Device 1300 also further comprises for example, be used to the module 1310 that quantizes CQI information (, quantizing to think that corresponding to effective SNR of selected optimal rank it generates CQI information) and on the function of backward power control channel, CQI and order information 1312 being fed back to the logic module of access point from accessing terminal.Should be appreciated that device 1300 with and the modules that comprised can implement method described above and/or the function of any needs can be offered to each system described herein.

For software, realize, technology described herein can for example, realize by the module (, process, function etc.) of carrying out function described herein.These software codes can be stored in memory cell, and are carried out by processor.Memory cell can be realized maybe can being placed on processor in processor, it can be coupled to processor communicatedly via any means as known in the art in rear a kind of situation.

The described above example that comprises one or more embodiment.Certainly, each combination that can conceive that describe assembly or method for the purpose of describing above-described embodiment is impossible, but those of ordinary skills can recognize, many further combination and the conversion of each embodiment are possible.Correspondingly, described embodiment is intended to contain all these replacements, modification and the modification dropped in the appended claims spirit and scope.In addition, with regard to term " comprise " originally illustrate or claims in use with regard to, this type of term is intended to can furthermore separate with term, " to comprise " while in claims, being used as the transition word such work of being explained.

Claims (18)

1. in the non-linear transceiver in wireless communication transceiver, calculate the method for order, comprising:

At non-linear receiver place, receive signal transmission;

From the transmission channel that receives described signal transmission thereon, generate a plurality of submatrixs;

Described a plurality of submatrixs are carried out to Q-R and decompose, and derivation upper triangular matrix separately;

For one or more possible orders are determined effective SNR;

For all possible order of described signal transmission is determined channel capacity tolerance; And

Selection makes the maximized order of channel capacity to transmit.

2. the method for claim 1, is characterized in that, comprises that further employing list-sphere decoder is by the signal transmission decoding received.

3. method as claimed in claim 2, is characterized in that, comprises that further sign has the order of high average size.

4. method as claimed in claim 3, is characterized in that, further comprises and calculate CQI and use the function of backward power control channel that described CQI and order information are feedbacked.

5. the method for claim 1, is characterized in that, described non-linear receiver is based on the non-linear receiver of maximum likelihood.

6. the method for claim 1, is characterized in that, described wireless communication transceiver is multiple-input and multiple-output (MIMO) single codeword (SCW) transceiver.

7. device of being convenient in multiple-input and multiple-output (MIMO) wireless communications environment to calculate in the non-linear transceiver in subscriber equipment order comprises:

Non-linear receiver, have the signal of a plurality of layers for reception;

Memory, for the storage information relevant with the order computational algorithm; And

Be coupled in the processor of described memory, for adopting the order computational algorithm to determine optimal rank for the signal received, from the transmission channel that receives described signal thereon, generate a plurality of submatrixs, described a plurality of submatrixs are carried out to Q-R to be decomposed, derive upper triangular matrix separately, and determine effective SNR for one or more possible orders.

8. device as claimed in claim 7, is characterized in that, described non-linear receiver adopts list-ball decoding agreement by the signal decoding received.

9. device as claimed in claim 8, is characterized in that, described processor generates for the CQI report transmitted on the function of backward power control channel, and appends the optimal rank identifier of 2 bits to it.

10. a multiple-input and multiple-output (MIMO) Wireless Telecom Equipment comprises:

For the multilayer signal to receiving at the subscriber equipment place, carry out the device of non-linear decoded agreement;

For the transmission channel from receiving described signal thereon, generate the device of a plurality of submatrixs;

For described a plurality of submatrixs are carried out to the device that Q-R decomposes and derive upper triangular matrix separately;

Be used to one or more possible orders to determine the device of effective SNR;

Be used to each possible order of received signal to determine the device that channel capacity is measured; And

For the device on the function of backward power control channel, the information relevant with optimal rank sent with CQI information.

11. equipment as claimed in claim 10, is characterized in that, further comprises be used to carrying out the device of list-signal that ball decoding agreement is received to decode.

12. equipment as claimed in claim 11, is characterized in that, further comprises for based on effective SNR of the layer with described optimal rank, generating at least in part the device of the CQI information relevant with the signal received.

13. equipment as claimed in claim 10, is characterized in that, described device about every 5ms transmission one CQI and order information on described the function of backward power control channel for sending.

14. the method for multiple-input and multiple-output (MIMO) radio communication comprises:

In subscriber equipment, adopt the non-linear decoded agreement by the multilayer signal decoding received;

From the transmission channel that receives described signal thereon, generate a plurality of submatrixs;

Described a plurality of submatrixs are carried out to Q-R to be decomposed and derives upper triangular matrix separately;

For one or more possible orders are determined effective SNR;

For all possible order of described signal is determined channel capacity tolerance; And

Selection makes the maximized order of channel capacity to transmit.

15. method as claimed in claim 14, is characterized in that, further comprises the signal that employing list-sphere decoder is decoded and received.

16. method as claimed in claim 15, is characterized in that, each further being included as in described submatrix is determined transmission capacity and will be averaging corresponding to the capacity of each order.

17. method as claimed in claim 16, is characterized in that, comprises that further sign has the order of high average size.

18. method as claimed in claim 17, is characterized in that, further comprises and calculate CQI and use the function of backward power control channel that described CQI and order information are feedbacked.

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