CN105848244A - Relay and user joint selection method based on asymmetry between uplink and downlink threshold rates - Google Patents

Relay and user joint selection method based on asymmetry between uplink and downlink threshold rates Download PDF

Info

Publication number
CN105848244A
CN105848244A CN201610313162.XA CN201610313162A CN105848244A CN 105848244 A CN105848244 A CN 105848244A CN 201610313162 A CN201610313162 A CN 201610313162A CN 105848244 A CN105848244 A CN 105848244A
Authority
CN
China
Prior art keywords
relaying
user
base station
relay
thresholding
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201610313162.XA
Other languages
Chinese (zh)
Other versions
CN105848244B (en
Inventor
李靖
郑宇�
葛建华
王勇
宫丰奎
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xidian University
Original Assignee
Xidian University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xidian University filed Critical Xidian University
Priority to CN201610313162.XA priority Critical patent/CN105848244B/en
Publication of CN105848244A publication Critical patent/CN105848244A/en
Application granted granted Critical
Publication of CN105848244B publication Critical patent/CN105848244B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W40/00—Communication routing or communication path finding
    • H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
    • H04W40/22—Communication route or path selection, e.g. power-based or shortest path routing using selective relaying for reaching a BTS [Base Transceiver Station] or an access point
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W40/00—Communication routing or communication path finding
    • H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/02—Power saving arrangements
    • H04W52/0203—Power saving arrangements in the radio access network or backbone network of wireless communication networks
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Abstract

The invention discloses a relay and user joint selection method based on asymmetry between uplink and downlink threshold rates, mainly for solving the problems of high realization complexity, large network overheads and large calculation amount of a conventional optimal method. The method provided by the technical scheme comprises the following steps: a corresponding optimal user is selected for each relay; a base station and the optimal user corresponding to each relay send relay selection request signaling to the relay in turn, the relay receives the signaling and calculates base station signal power and user signal power; each relay calculates a measurement value, and according to the measurement values of all the relays, an optimal relay is selected; and a user corresponding to the optimal relay is taken as an optimal user in a whole system. According to the invention, a scene with the asymmetry between the uplink and downlink threshold rates in actual application is taken into consideration, the relays and the users do not have to perform channel estimation, concentrated calculation of end-to-end receiving signal-to-noise ratios is avoided, joint selection of the relays and the users is realized in a distributed mode, the realization complexity and the calculation amount are reduced, the network overheads are decreased, and the method can be applied to a cellular bidirectional relay system.

Description

Relaying based on up-downgoing thresholding rate asymmetrical and user's Combination selection method
Technical field
The invention belongs to wireless communication technology field, particularly to a kind of relaying and the Combination selection method of user, available In honeycomb bidirectional relay system.
Technical background
Bi-directional relaying transmission is an information transmission technology the most promising, is not increasing transmitting power and the premise of bandwidth Under, it can improve systematic function effectively, improves transmission coverage and spectrum efficiency, be widely used in mobile network with And ad-hoc network etc..AF retransmission protocol realizes simple and that complexity is low characteristic due to it, is widely used in relaying joint On point.B.Rankov and A.Wittneben is at " Spectral efficient protocols for half-duplex fading relay channels”(IEEE J.Sel.Areas Commun.,vol.25,no.2,pp.379–389, Feb.2007.) propose the two-way AF relay transmission system of two time slots in, illustrate to use the program to recover most half pair Work transmission loss, improves spectrum efficiency, is effectively improved systematic function.
Bi-directional relaying transmission is applied in cell mobile communication systems, by improving efficiency of transmission, suppression neighbor cell Between interference and expand network coverage, can greatly promote the performance of system.But the cell mobile communication systems of reality In be usually present multiple relaying and user, the most therefrom select optimum via node and user node carry out information and become alternately Key issue.E.Li et al. is at " A source-relay selection scheme in two-way amplify-and- forward relaying networks”(IEEE Commun.Lett.,vol.16,no.10,pp.1564-1567, Oct.2012) the two-way relay communication system model of the many relayings of multi-user is proposed in, by multiple via nodes and multiple User node selects optimum via node and user node to obtain multi-user diversity gain and the gain of many relay diversity.G.Bi Et al. at " Joint source-relay selection and transmission mode selection in two- Way relay networks " in (IEEE Int.Conf.Commun.Workshops, 2014, pp.302-307) for existence Direct transfer the bidirectional relay system of the many relayings of multi-user of link, it is proposed that a kind of Combination selection method of relaying and user, and right It has carried out the analysis of performance, but the studies above all assumes that all nodes in bidirectional relay system are single antenna nodes.
It is known that multiple antennas can significantly improve spectrum efficiency and the transmission reliability of bidirectional relay system, as used The MIMO technology of multiple antennas, but the raising of this performance gain can bring the expense brought due to hardware complexity increase. S.Yadav et al. is at " Performance evaluation and optimization for two-way relaying with multi-antenna sources”(IEEE Trans.Veh.Technol.Vol.63,no.6,pp.2982-2989) The source node of middle consideration bidirectional relay system, equipped with many antennas, uses beamforming scheme, analyzes whole system by mistake Code performance.N.Yang et al. is at " Two-way relaying with multi-antenna sources:beamforming and antenna selection”(IEEE Trans.Veh.Technol.,vol.61,no.9,pp.3996–4008, Nov.2012) except proposing multiple antennas source node employing beamforming scheme, it is also proposed that multiple antennas source node uses sky Line options scheme, compares two schemes under identical system scenarios in terms of bit error rate performance.
In actual honeycomb bidirectional relay system, base station be equipped with many antennas, relaying and user due to size with become Single antenna is only equipped in this restriction, and up-downgoing thresholding speed is unequal, in carrying out according to the Max-min method that tradition is optimum Continue and the Combination selection of user, need to calculate the end-to-end received signal to noise ratio of all potential links, computationally intensive when node is more, And needing centralized realization, network overhead is bigger, it is achieved complexity is high.
Summary of the invention
Present invention aims to the deficiency of above-mentioned prior art, it is a kind of non-right based on up-downgoing thresholding speed to propose The relaying of title property and user's Combination selection method, to reduce system implementation complexity, reduce network overhead and amount of calculation.
To achieve these goals, technical scheme includes the following:
(1) each relaying R is givenkSelect corresponding optimal user Ul', k ∈ 1 ..., N}, l' ∈ 1 ..., M}, N and M divide Wei the relaying quantity of system and number of users；
(2) base station and each relaying RkCorresponding optimal user Ul'Send relay selection demand signalling in turn to relaying Rk, Relaying RkReceive signaling calculation base station signal powerWith subscriber signal power
(3) metric is setWherein ΦAAnd ΦUIt is intermediate variable,PA、PUAnd PRIt is respectively base station, relaying and the transmitting of user Power, τ is user's thresholding signal to noise ratio and the ratio of base station thresholding signal to noise ratio,γA,thAnd γU,thBe respectively base station and The thresholding signal to noise ratio of user,RA,thAnd RU,thIt is respectively the thresholding speed of base station and user Rate；
(4) each relaying RkThe base station signal power that step (2) is obtainedWith subscriber signal powerSubstitute into tolerance Value formula calculates ψk；
(5) optimum relaying R is chosenk*: the metric ψ to all relayingskTake maximum, obtain its reference numeralThe relaying R of numbered k*k*It is optimum relaying；
(6) optimum is relayed Rk*Corresponding user Ul'As optimal user U in whole systeml*。
The present invention compared with prior art has the advantage that
First, complexity and energy expenditure are low
Due to the fact that the selection only needing carry out relaying and user according to the signal power that receives, it is to avoid relaying and using Family carries out channel estimation, and compared with the Max-min method optimum with tradition, the implementation complexity and the energy that significantly reduce system disappear Consumption.
Second, amount of calculation and network overhead are little
Due to the fact that and use the selection course realizing relaying and user in a distributed manner, it is not necessary to carry out instead selecting result Feedback, compared with the Max-min method that the present invention and tradition are optimum, it is to avoid end-to-end at all potential links of base station centralized calculation Received signal to noise ratio, considerably reduces amount of calculation and network overhead, improves the real-time selecting result simultaneously.
Accompanying drawing explanation
Fig. 1 is the honeycomb bidirectional relay system illustraton of model that the present invention uses；
Fig. 2 is the implementing procedure figure of the present invention；
Fig. 3 is to use the inventive method and the system break performance comparison figure of tradition best practice.
Detailed description of the invention
Detailed description of the invention and effect to the present invention are further described below in conjunction with the accompanying drawings.
With reference to Fig. 1, the honeycomb bidirectional relay system of present invention application, including containing a base-station node A, N number of via node With M user node.Base-station node only fills due to the restriction of size and cost equipped with S root antenna, via node and user node There is single antenna.All nodes are synchronized to identical clock, work the most in a half duplex manner, and via node uses amplification forwarding Agreement.Through relaying and the Combination selection of user, base station A and selected user carry out two time slots by selected relaying Bi-directional relaying amplification forwarding transmission information.
With reference to Fig. 2, the present invention carries out the realization step of relaying and user's Combination selection according to the honeycomb bidirectional relay system of Fig. 1 Rapid as follows:
Step 1, to each relaying Rk, select corresponding optimal user Ul'。
(1a) sequence number k=1 is initialized；
(1b) relaying RkBroadcast a user and select demand signalling；
(1c) after each user receives this signaling, basis respectivelyCalculate the base received Stand signal powerWhereinFor user UlThe relaying R receivedkThe user sent selects demand signalling,For Conjugate transpose, E [] is averaging operation, and preservesBase station A utilizes the signaling received to be estimated by channel simultaneously Meter, obtains and preserves relaying RkAnd the channel coefficients between base stationWhereinFor relaying RkAnd the channel coefficients between i-th antenna of base station A, i ∈ 1 ..., S}, S are the antenna amount of base station；
(1d) relaying R is selectedkCorresponding optimal user Ul':
(1d1) all user UlThe relaying signal power obtained according to step (1c)The intervalometer that user is built-in is set DurationL ∈ 1 ..., M}, T are the timer clock cycle, and M is the number of users of system；
(1d2) start the intervalometer of all users simultaneously, start timing；
(1d3) user that first intervalometer terminates timing is chosen as relaying RkCorresponding optimal user Ul', user simultaneously Ul'Preservation sequence number k, l' ∈ 1 ..., M}, M are the number of users of system；
(1e) relaying quantity N of sequence number k with system is compared: if k=N, the most all relayings complete to select correspondence Optimal user Ul', perform step 2, otherwise, after sequence number k is added 1, return step (1b).
Step 2, base station and each relaying RkCorresponding optimal user Ul'Send relay selection demand signalling in turn to relaying Rk, relay RkReceive signaling calculation base station signal powerWith subscriber signal power
(2a) sequence number k=1 is initialized；
(2b) relaying RkKeeping active, remaining relaying holding is mourned in silence；
(2c) base station transmission relay selection demand signalling:
(2c1) base station obtains according to step (1c)Calculate its Transmit weight vector WhereinForConjugate transpose,Not Luo Beini crow this norm, ()TTransposition for matrix operates；
(2c2) base station uses high specific transmission method, sends relay selection demand signalling；
(2d) relaying RkAfter receiving this relay selection demand signalling, according toCalculating receives Base station signal powerWhereinFor relaying RkThe relay selection demand signalling that the base station received sends,For Conjugate transpose, E [] is averaging operation, and preserves
(2e) relaying RkCorresponding optimal user Ul'Send relay selection demand signalling；
(2f) relaying RkAfter receiving this relay selection demand signalling, according toCalculate and receive The subscriber signal power arrivedWhereinFor relaying RkIts corresponding optimal user U receivedl'The relay selection sent please Seek signaling,For the conjugate transposition operation of matrix, E [] is averaging operation, and preserves
(2g) relaying quantity N of sequence number k with system is compared: if k=N, the most all relayings complete operation, perform step Rapid 3, otherwise, after sequence number k is added 1, return step (2b).
Step 3, each relaying RkAccording toIt is calculated metric ψk。
(3a) the base station signal power that all E-mail relay utilization steps 2 obtainWith subscriber signal powerCalculate respectively Obtain the first variableWith the second variableWherein ΦAAnd ΦUIt is intermediate variable,PA、PUAnd PRIt is respectively base station, relaying and the transmitting of user Power, τ is user's thresholding signal to noise ratio and the ratio of base station thresholding signal to noise ratio,γA,thAnd γU,thBe respectively base station and The thresholding signal to noise ratio of user,RA,thAnd RU,thIt is respectively the thresholding speed of base station and user Rate；
(3b) the first variable that all E-mail relay utilization steps (3a) obtainWith the second variableAccording toCalculate ψkAnd preserve.
Step 4, according to the metric ψ of all relayingskSelect optimum relaying Rk*。
(4a) the metric ψ that all relayings preserve according to step (3)k, the timer duration that relaying is built-in is setT is the timer clock cycle；
(4b) start the intervalometer of all relayings simultaneously, start timing；
(4c) relay selection that first intervalometer terminates timing is optimum relaying Rk*。
Step 5, optimum relaying Rk*Sending a response signaling with sequence number k*, all users receive this response signaling Compare with the sequence number each preserved, elect optimal user U in whole system as by preserving the sequence number user equal to k*l*。
Step 6, base station A and selected user Ul*By selected relaying Rk*The bi-directional relaying carrying out two time slots is put Big forwarding transmission information.
The effect of the present invention can be described further by following emulation:
1. simulated conditions:
In assuming that via node and user node all concentrate on bunch, it is 1 by the range normalization between base station and user bunch, daFor the distance between base station and relaying bunch, dbFor the distance between user bunch and relaying bunch, db=1-da。
It is 0 answer that the channel coefficients between channel and user bunch and relaying bunch between base station and relaying bunch all obeys average Gauss distribution, channel gain obedience Rayleigh fading distribution, path loss index is 4, channel coefficients between base station and relaying bunch VarianceThe variance of channel coefficients between user bunch and relaying bunch
White Gaussian noise power N in system0=1, the signal to noise ratio of system is SNR, general power P of systemtot=SNR*N0, The transmitting power of base station, via node and user node is equal, i.e.
System up-downgoing thresholding speed RA,thAnd RU,thIt is respectively 1bps/Hz and 2bps/Hz.
2. emulation content and result:
Distance d under above-mentioned simulated conditions, between fixed base stations and relaying buncha=0.5, antenna for base station number S=2, use Amount M=2, relaying number N={1,2,3,4}.Use the inventive method and tradition best practice, to honeycomb bidirectional relay system Outage probability compares along with the change of signal to noise ratio snr carries out emulation, result as it is shown on figure 3, in Fig. 3 abscissa be the noise of system Ratio SNR, unit is decibel (dB), and vertical coordinate is system break probability.
From the figure 3, it may be seen that after application the inventive method, system break performance approaches the system break using tradition best practice Performance, especially when relaying number N and being less, fits like a glove with the system break performance using tradition best practice.When relaying number N relatively Time big, use the system break slightly inferior properties of the inventive method in using the system break performance of tradition best practice, but from Outage probability slope of a curve under the same terms is it can be seen that the diversity gain of their acquisitions is equal.It should be noted that this Inventive method, compared to tradition best practice, the inventive method significantly reduces implementation complexity, drastically reduce the area amount of calculation And network overhead, it is more suitable for actual application.

Claims (5)

1. relaying based on up-downgoing thresholding rate asymmetrical and user's Combination selection method, including:
(1) each relaying R is givenkSelect corresponding optimal user Ul', k ∈ 1 ..., N}, l' ∈ 1 ..., M}, N and M are respectively The relaying quantity of system and number of users；
(2) base station and each relaying RkCorresponding optimal user Ul'Send relay selection demand signalling in turn to relaying Rk, relay Rk Receive signaling calculation base station signal powerWith subscriber signal power
(3) metric is setWherein ΦAAnd ΦUIt is intermediate variable,PA、PUAnd PRIt is respectively base station, relaying and the transmitting of user Power, τ is user's thresholding signal to noise ratio and the ratio of base station thresholding signal to noise ratio,γA,thAnd γU,thBe respectively base station and The thresholding signal to noise ratio of user,RA,thAnd RU,thIt is respectively the thresholding speed of base station and user Rate；
(4) each relaying RkThe base station signal power that step (2) is obtainedWith subscriber signal powerSubstitution metric is public Formula calculates ψk；
(5) optimum relaying R is chosenk*: the metric ψ to all relayingskTake maximum, obtain its reference numeralThe relaying R of numbered k*k*It is optimum relaying；
(6) optimum is relayed Rk*Corresponding user Ul'As optimal user U in whole systeml*。
Relaying based on up-downgoing thresholding rate asymmetrical the most according to claim 1 and user's Combination selection method, It is characterized in that, wherein step (1) gives each relaying RkSelect corresponding optimal user Ul', it is achieved step is as follows:
(1a) relaying RkBroadcast a user and select demand signalling, k ∈ 1 ..., N}；
(1b) each user receives after this user selects demand signalling, calculates relaying signal power respectivelyBase station A simultaneously Utilize the signaling received to be estimated by channel, obtain and preserve relaying RkAnd the channel coefficients between base stationWhereinFor relaying RkAnd the channel coefficients between i-th antenna of base station, i ∈ 1 ..., S}, S are the antenna amount of base station；
(1c) relaying R is selectedkCorresponding optimal user Ul', meet
l ′ = arg m a x l ∈ { 1 , ... , M } { P U l R k } , l ′ ∈ { 1 , ... , M } ;
(1d) relaying RkCorresponding optimal user Ul'Broadcast answer signal to other users and record relaying Rk。
Relaying based on up-downgoing thresholding rate asymmetrical the most according to claim 1 and user's Combination selection method, It is characterized in that, wherein the base station of step (2) sends relay selection demand signalling to relaying Rk, be utilize base station equipped with S root Antenna, uses high specific transmission method to be transmitted, its Transmit weight vectorFor:
WhereinForConjugate transpose,ForNot Luo Beini crow this norm, ()TTransposition for matrix is grasped Make.
Relaying based on up-downgoing thresholding rate asymmetrical the most according to claim 1 and user's Combination selection method, It is characterized in that, the relaying R in step (2)kThe base station signal power obtainedIt is calculated as follows:
WhereinFor relaying RkThe relay selection demand signalling that the base station received sends,ForConjugate transpose, E [] is averaging operation.
Relaying based on up-downgoing thresholding rate asymmetrical the most according to claim 1 and user's Combination selection method, It is characterized in that, the relaying R in step (2)kThe subscriber signal power obtainedIt is calculated as follows:
WhereinFor relaying RkIts corresponding optimal user U receivedl'The relay selection demand signalling sent,For matrix Conjugate transposition operation, E [] be averaging operation.
CN201610313162.XA 2016-05-12 2016-05-12 Relaying and user's Combination selection method based on uplink and downlink thresholding rate asymmetrical Active CN105848244B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610313162.XA CN105848244B (en) 2016-05-12 2016-05-12 Relaying and user's Combination selection method based on uplink and downlink thresholding rate asymmetrical

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610313162.XA CN105848244B (en) 2016-05-12 2016-05-12 Relaying and user's Combination selection method based on uplink and downlink thresholding rate asymmetrical

Publications (2)

Publication Number Publication Date
CN105848244A true CN105848244A (en) 2016-08-10
CN105848244B CN105848244B (en) 2019-01-08

Family

ID=56591881

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610313162.XA Active CN105848244B (en) 2016-05-12 2016-05-12 Relaying and user's Combination selection method based on uplink and downlink thresholding rate asymmetrical

Country Status (1)

Country Link
CN (1) CN105848244B (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103491610A (en) * 2013-09-12 2014-01-01 西安电子科技大学 Method for transmitting information based on relay selection in two-way moving relay system
CN103796284A (en) * 2014-02-27 2014-05-14 西安交通大学 Relay selection method for energy harvesting wireless network
CN105554841A (en) * 2015-12-08 2016-05-04 深圳大学 Best relay location search method and best relay location search system based on step length threshold mechanism

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103491610A (en) * 2013-09-12 2014-01-01 西安电子科技大学 Method for transmitting information based on relay selection in two-way moving relay system
CN103796284A (en) * 2014-02-27 2014-05-14 西安交通大学 Relay selection method for energy harvesting wireless network
CN105554841A (en) * 2015-12-08 2016-05-04 深圳大学 Best relay location search method and best relay location search system based on step length threshold mechanism

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
吴明英: "无线协作通信中的双向中继技术研究", 《中国优秀硕士学位论文全文数据库》 *
孙玉展: "双向中继传输系统中的中继选择方法研究", 《中国优秀硕士学位论文全文数据库》 *

Also Published As

Publication number Publication date
CN105848244B (en) 2019-01-08

Similar Documents

Publication Publication Date Title
CN101860873A (en) Distributed relay selection method based on cross-layer information exchange
CN102694628B (en) Interference suppression method for multi-user MIMO collaborative relay system
CN101656600A (en) Implementation method of opportunistic cooperation diversity protocol based on reinforced selective amplification-forwarding
Ding et al. Joint scheduling and relay selection in one-and two-way relay networks with buffering
CN102769486B (en) Method for processing relay end signals in bidirectional multi-hop relay system
US8976888B2 (en) Method for uplink multi-user cooperation communication
CN103580737A (en) Two-way relay system antenna pair selecting method based on minimum mean square error
CN102195700B (en) Scheduling transmission method for collaborative cells against cell edge users of downlink
Varma et al. Cooperative MIMO with relay selection for LTE advanced system
Alabed et al. A simple distributed differential transmit beamforming technique for two-way wireless relay networks
Alabed et al. Distributed differential space-time coding techniques for two-way wireless relay networks
CN103236878B (en) A kind of coordinates beam shaping method receiving vector estimation based on maximum-ratio combing
CN103228034B (en) Based on the Small Section Mode method for communication of mobile communication system of UE classification
CN102811188B (en) Robust signal processing method for relay side in two-way relay system
Alabed et al. Distributed differential space-time coding for two-way relay networks using analog network coding
Kumar et al. Suboptimal comparison of AF and DF relaying for fixed target error probability
CN102624498A (en) Method for eliminating interference of downlink multi-base station cooperation system by using joint distributed space-time coding
Siriwongpairat et al. Employing cooperative diversity for performance enhancement in UWB communication systems
CN102546127B (en) Information processing method for multiple-input multiple-output (MIMO) relay system
CN107529227A (en) A kind of denoising forwards bi-directional relaying slot allocation method
CN105848244B (en) Relaying and user's Combination selection method based on uplink and downlink thresholding rate asymmetrical
CN105790810A (en) MIMO wireless multi-hop network distributed cross-layer optimization method based on channel mode selection
CN104066141A (en) Cooperative communication method and system based on full-space-time network coding
Berder et al. Non-regenerative full distributed space-time codes in cooperative relaying networks
Muthukumar et al. Multi user MIMO cooperation for wireless network: A survey

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant