Effective SNR Based MIMO Switching in Mobile WiMAX Systems

Similar documents
Uplink User Selection Scheme for Multiuser MIMO Systems in a Multicell Environment

Performance Analysis of Multi User MIMO System with Block-Diagonalization Precoding Scheme

Adaptive Modulation for Multiple Antenna Channels

Throughput Maximization by Adaptive Threshold Adjustment for AMC Systems

Performance Study of OFDMA vs. OFDM/SDMA

Calculation of the received voltage due to the radiation from multiple co-frequency sources

CELL SEARCH ROBUST TO INITIAL FREQUENCY OFFSET IN WCDMA SYSTEMS

Distributed user selection scheme for uplink multiuser MIMO systems in a multicell environment

Space Time Equalization-space time codes System Model for STCM

The Detection Algorithms Performance in BLAST Enhanced IEEE a WLAN Standard on Measured Channels. University of Bristol

A study of turbo codes for multilevel modulations in Gaussian and mobile channels

Low Complexity V-BLAST MIMO-OFDM Detector by Successive Iterations Reduction

Parameter Free Iterative Decoding Metrics for Non-Coherent Orthogonal Modulation

Comparative Analysis of Reuse 1 and 3 in Cellular Network Based On SIR Distribution and Rate

A new family of linear dispersion code for fast sphere decoding. Creative Commons: Attribution 3.0 Hong Kong License

Bit-interleaved Rectangular Parity-Check Coded Modulation with Iterative Demodulation In a Two-Node Distributed Array

On Space-Frequency Water-Filling Precoding for Multi-User MIMO Communications

Rejection of PSK Interference in DS-SS/PSK System Using Adaptive Transversal Filter with Conditional Response Recalculation

How to Scale Up the Spectral Efficiency of Multi-way Massive MIMO Relaying?

Fractional Base Station Cooperation Cellular Network

A Spreading Sequence Allocation Procedure for MC-CDMA Transmission Systems

Digital Transmission

Cooperative Multicast Scheduling Scheme for IPTV Service over IEEE Networks

A New Opportunistic Interference Alignment Scheme and Performance Comparison of MIMO Interference Alignment with Limited Feedback

Resource Allocation Optimization for Device-to- Device Communication Underlaying Cellular Networks

IMPACT OF LIMITED FEEDBACK ON MIMO- OFDM SYSTEMS USING JOINT BEAMFORMING

Bit Error Probability of Cooperative Diversity for M-ary QAM OFDM-based system with Best Relay Selection

NOVEL ITERATIVE TECHNIQUES FOR RADAR TARGET DISCRIMINATION

LETTER An MMSE-Nulling Partial-PIC Receiver for Multiuser Downlink MIMO MC-CDMA Systems

AN IMPROVED BIT LOADING TECHNIQUE FOR ENHANCED ENERGY EFFICIENCY IN NEXT GENERATION VOICE/VIDEO APPLICATIONS

MIMO Precoding Using Rotating Codebooks

Iterative Detection and Decoding (IDD) MIMO-OFDM HARQ Algorithm with Antenna Scheduling

Clustering Based Fractional Frequency Reuse and Fair Resource Allocation in Multi-cell Networks

Power Minimization Under Constant Throughput Constraint in Wireless Networks with Beamforming

Antenna Selection for Space-Time Communication with Covariance Feedback

Two-Stage Detector for SC-FDMA Transmission over MIMO ISI Channels

Non-Vanishing Space Time Block Code for Three Time Slots and Two Transmit Antennas

On the Performance of Space-Time MIMO Multiplexing for Free Space Optical Communications

Power Allocation in Wireless Relay Networks: A Geometric Programming-Based Approach

Impact of Interference Model on Capacity in CDMA Cellular Networks. Robert Akl, D.Sc. Asad Parvez University of North Texas

Define Y = # of mobiles from M total mobiles that have an adequate link. Measure of average portion of mobiles allocated a link of adequate quality.

HUAWEI TECHNOLOGIES CO., LTD. Huawei Proprietary Page 1

Correlation Analysis of Multiple-Input Multiple-Output Channels with Cross-Polarized Antennas

The Study of Zero-Forcing Beamforming Gain for Multiuser MIMO with Limited Feedback

Exponential Effective SIR Metric for LTE Downlink

EMOS Platform: Real-Time Capacity Estimation of MIMO Channels in the UMTS-TDD Band

Approximating User Distributions in WCDMA Networks Using 2-D Gaussian

Index Terms Adaptive modulation, Adaptive FEC, Packet Error Rate, Performance.

FUTURE wireless systems will need to provide high data

Relevance of Energy Efficiency Gain in Massive MIMO Wireless Network

Advances in MIMO Techniques for Mobile Communications A Survey

MIMO-OFDM Systems. Team Telecommunication and Computer Networks, FSSM, University Cadi Ayyad, P.O. Box 2390, Marrakech, Morocco.

Adaptive Modulation and Coding With Incremental Redundancy Hybrid ARQ in MIMO Systems: A Cross Layered Design.

On the Impact of User Positions on Multiuser Detection in Distributive Antenna Systems Shahid Khattak, Wolfgang Rave, Gerhard Fettweis

BER Performance Analysis of Multiuser Diversity with Antenna Selection in MRC MIMO Systems

Keywords LTE, Uplink, Power Control, Fractional Power Control.

Energy Efficiency Analysis of a Multichannel Wireless Access Protocol

A MODIFIED DIRECTIONAL FREQUENCY REUSE PLAN BASED ON CHANNEL ALTERNATION AND ROTATION

Opportunistic Beamforming for Finite Horizon Multicast

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 13, NO. 12, DECEMBER

The Performance Improvement of BASK System for Giga-Bit MODEM Using the Fuzzy System

To: Professor Avitabile Date: February 4, 2003 From: Mechanical Student Subject: Experiment #1 Numerical Methods Using Excel

Chaotic Filter Bank for Computer Cryptography

Multi-Relay Selection Strategy for Device to Device Communication

Information-Theoretic Comparison of Channel Capacity for FDMA and DS-CDMA in a Rayleigh Fading Environment

RECOMMENDATION ITU-R P Multipath propagation and parameterization of its characteristics

Characterization and Analysis of Multi-Hop Wireless MIMO Network Throughput

Modeling and Simulation of New Encoding Schemes for High-Speed UHF RFID Communication

Evaluation of Downlink Performance of a Multiple-Cell, Rake Receiver Assisted CDMA Mobile System

Phasor Representation of Sinusoidal Signals

PAPER Effect of Joint Detection on System Throughput in Distributed Antenna Network

On the Optimal Solution for BER Performance Improvement in Dual-Hop OFDM Relay Systems

Using Higher Order Cyclostationarity to Identify Space-Time Block Codes

Performance of STBC transmissions with real data

Improved Detection Performance of Cognitive Radio Networks in AWGN and Rayleigh Fading Environments

AN EFFICIENT ITERATIVE DFT-BASED CHANNEL ESTIMATION FOR MIMO-OFDM SYSTEMS ON MULTIPATH CHANNELS

Distributed Resource Allocation and Scheduling in OFDMA Wireless Networks

The Stability Region of the Two-User Broadcast Channel

Optimum Ordering for Coded V-BLAST

Enhanced Uplink Scheduling for Continuous Connectivity in High Speed Packet Access Systems

RESOURCE CONTROL FOR HYBRID CODE AND TIME DIVISION SCHEDULING

Bayesian channel estimation in chaos based multicarrier CDMA system under slowly varying frequency selective channel

AIR FORCE INSTITUTE OF TECHNOLOGY

Spatial Multiplexing applied to Turbo Coded Multi-Carrier CDMA

Directional Beamforming for High-Speed Railway Communications with. Frequency offset precorrection.

CROSS-LAYER OPTIMIZATION PERFORMANCE OF SINGLE CELL MILLIMETER WAVE OFDM WIRELESS NETWORK UNDER RAIN FADING

Resource Allocation for Throughput Enhancement in Cellular Shared Relay Networks

CROSSFIRE. FP7 Contract Number:

Deployment of High Altitude Platforms Network: A Game Theoretic Approach

Design Rules for Efficient Scheduling of Packet Data on Multiple Antenna Downlink

STUDY ON LINK-LEVEL SIMULATION IN MULTI- CELL LTE DOWNLINK SYSTEM

Performance Evaluation of Cooperative Versus Receiver Coded Diversity

Joint Adaptive Modulation and Power Allocation in Cognitive Radio Networks

On Timing Offset and Frequency Offset Estimation in LTE Uplink *

COOPERATIVE COMMUNICATIONS FOR WIRELESS INFORMATION ASSURANCE

Channel aware scheduling for broadcast MIMO systems with orthogonal linear precoding and fairness constraints

Modeling Uplink Coverage and Rate with Aggregation in Machine-to-Machine Communication Networks

THE ever increasing demand of industries to automate

Combined Beamforming and Scheduling for High Speed Downlink Packet Access

Available online at ScienceDirect. Procedia Computer Science 93 (2016 )

Transcription:

Effectve SNR Based MIMO Swtcng n Moble WMAX Systems Myoung-Seob Km and Yong-wan Lee Scool of Electrcal Engneerng and INMC, Seoul Natonal Unversty Kwanak P. O. Box, Seoul -600 Korea Emal: mseob@ttl.snu.ac.kr and ylee@snu.ac.kr Abstract e moble WMAX system consders te use of ( ) multple-nput multple-output (MIMO) scemes for performance mprovement. It s requred for moble statons to approprately swtc te MIMO mode; space tme block code (SBC) or vertcal spatal multplexng (). In ts paper we consder a novel swtcng sceme for te MIMO mode based on effectve sgnal-tonose rato. Assumng te use of a mnmum mean square error (MMSE) recever for te and a maxmum rato combnng recever for te SBC, te tresold for te mode swtcng s analytcally derved n a closed form. Smulaton results sow tat te proposed swtcng sceme outperforms conventonal swtcng scemes n terms of te capacty and outage probablty.. Introducton e moble WMAX system (m-wmax) based on te IEEE 80.6e-00 specfcatons consders te use of ( ) multple-nput multple-output (MIMO) antenna tecnologes to mprove te system performance []. e system profle for te m-wmax [] ncludes two MIMO modes for te downlnk. One s ( ) vertcal spatal multplexng () [] and te oter s space tme block code (SBC) for transmt dversty []. e mode can mprove te system capacty by generatng multple spatal layers wen te number of receve antennas s larger tan or equal to tat of te transmt antennas, enablng to remove nterference sgnals from oter layers []. o obtan a spatal multplexng gan, owever, te MIMO cannel sould be spatally ndependent. As te rank of te MIMO cannel decreases, te performance of te can abruptly deterorate. Moreover, wen te sgnal to nose (SNR) s low, te capacty of te system can sgnfcantly decrease due to splt transmt power over multple spatal layers. On te oter and, te SBC mode explots spatal dversty by employng multple antennas at te transmtter and possbly at te recever. Snce t utlzes te wole transmt power for te transmsson of a sngle data stream, t can effectvely be appled to low SNR envronments. e spatal dversty gan enables te recever to relably decode te sgnal n fadng cannels, almost ndependent of te property of te cannel rank. owever, t cannot aceve substantal capacty gan due to te absence of spatal multplexng gan []. It s desrable to maxmze te system capacty of te m- WMAX by transmttng data wt te use of a proper MIMO mode accordng to te tme-varyng cannel condton. Prevous studes consder te predcton and selecton of a MIMO mode by usng sort-term cannel state nformaton (CSI) [], [6] or long-term CSI of te cannel [7] [9]. e MIMO mode can be selected to maxmze te mnmum dstance of te receved sgnal constellaton, ncreasng te spectral effcency [], [6]. owever, ts swtcng sceme was desgned for uncoded transmsson scemes and tus t may not work well n coded ones. e MIMO mode swtcng based on approxmated performance may cause swtcng errors, resultng n performance degradaton. Long-term CSI based swtcng scemes [7] [9].consder te mode selecton to maxmze te cannel capacty n an average sense, sgnfcantly reducng te system complexty and feedback sgnalng overead due to slow tme-varyng nature of te longterm cannel caracterstcs. owever, te use of only long-term CSI may degrade te swtcng performance due to te fact tat t may not properly track nstantaneous cannel condton wc vares muc faster tan te longterm cannel caracterstcs. In ts paper, we consder te use of nstantaneous CSI for te MIMO mode swtcng assocated wt tmevaryng cannels. We select te MIMO mode based on te effectve SNR of te receved sgnal wc s drectly related to te nstantaneous capacty of te MIMO cannel. By dervng te effectve SNR of te and SBC scemes n a smple closed form, te MIMO mode can easly be swtced usng a smple tresold. It s sown tat te proposed sceme outperforms te prevous scemes n bot te capacty and te outage probablty. e rest of ts paper s organzed as follows. e system model n consderaton s descrbed n Secton II. e effectve SNR of te and SBC s derved n a closed form and ten t s appled to te swtcng of te MIMO mode n Secton III. e performance of te

g.. M-WMAX wave- system wt adaptve MIMO swtcng. proposed swtcng sceme s verfed by computer smulaton n Secton IV. nally, conclusons are summarzed n Secton V.. System model Consder ( ) MIMO (.e., two transmt and two receve antennas) scemes suggested n te IEEE 80.6e-00 specfcatons [] and te m-wmax wave- profle, as llustrated n g. []. e receved sgnal can be represented as r x+ n () were x [ x x] and r [ r r] denote te transmt and receved sgnal vector, respectvely, s te ( ) MIMO cannel gven by and [ n ], () n [ ] n denotes zero-mean addtve wte Gaussan nose (AWGN) wt covarance N 0 I. ere, te superscrpt denotes te matrx transpose, I denotes a ( ) dentty matrx, j denotes te cannel response from transmt antenna to receve antenna j, and denotes te cannel vector orgnated from transmt antenna. Lettng P E[ x x ] be te transmsson power, te average SNR can be defned as P. () N0 e transmt sgnal vector n te mode can be represented as x [ s s], were s and s are data symbols transmtted by transmt antenna and, respectvely. e mode can aceve a spatal multplexng gan by transmttng ndependent data streams troug two transmt antennas. In te SBC mode, data symbol s and s are transmtted durng twosymbol duraton: te transmt sgnal vector s x [ s s] and x s s durng te frst and second symbol tme, respectvely. e receved sgnal n te SBC can be represented as [] r x + n () were, s te symbol tme ndex. In te m-wmax system, te moble staton (MS) determnes te MIMO mode and reports te ndex of te selected mode to te base staton (BS) va a low-rate feedback cannel n te uplnk []. Lettng and SBC be a performance metrc of te and te SBC, respectvely, te MIMO mode can be determned wt te correspondng ndex π as 0, <SBC π. (), >SBC. Proposed Adaptve MIMO Swtcng It s desrable to defne a proper performance metrc for eac MIMO mode to optmze te MIMO performance. In ts paper, we consder an effectve SNR as te performance metrc for te MIMO mode selecton... Performance metrc of te mode In te mode, te transmt sgnal s, wose transmt power s P /, can be decoded usng an approprate recever wegt vector w. Assumng te use of a mnmum mean-square error (MMSE) recever, w can be determned by [] P N0 + k k k w I. (6) en, te receved sgnal after te MMSE flterng can be represented as w r w s + w ksk + n k (7) w s + w z were te frst term s te desred sgnal and te second term s te nterference sgnal from oter layer plus AWGN. e post detecton SNR of te receved sgnal s []

P w. (8) e correspondng system capacty of te mode can be represented as C log ( + ) + log ( + ) log( + ( + ) + ) (9) log + ( ) were represents te effectve SNR of te mode gven by ( + ) +. (0) o ts end, frst calculate te post detecton SNR assocated wt wegt P N0 + w I. () Usng a matrx nverson formula [0] P N0I+ * + (), P * {( + ) + } + t can be sown tat det ( ) + P w, () ( + ) were denotes te robenus norm. Smlarly, t can be sown tat te post detecton SNR for te second layer s det ( ) + ( + ). () nally, te effectve SNR of te mode can be represented as det ( ) + +. () ( + )( + ) e term det ( ) gly depends on te egenvalues of and t can be represented by te product of two egenvalues of. Wen te MIMO cannel s gly correlated, one of te egenvalues of s lkely very small, resultng n a small det ( ). s mples tat te mode may not be applcable n spatally correlated cannel envronments... Performance metrc of te SBC mode Assumng tat te cannel caracterstcs are not notceably varyng durng two-symbol tme duraton, te receved sgnal vectors n te SBC mode at symbol tme and can respectvely be represented as r s n r +, (6),, r, n s, r s n r. (7) *,, * r, n + s, r, r, r, r,,,,, rom (6) and (7), lettng y and n n n n n, te receved sgnal vectors can be rewrtten as P s y + s n (8) P s eff +. s n e combned sgnal after te MRC can be represented as P ' eff y Is+ n, (9) ' were n eff n denotes an equvalent nose vector. en te effectve SNR of te SBC sceme s gven by SBC. (0). Crteron for te MIMO mode swtcng e MIMO mode can be selected based on te effectve SNR as π > () < SBC were π denotes te selected MIMO mode ndex. Snce () can be rewrtten as

det ( ) + + > < ( + )( + ) π e swtcng crteron can furter be smplfed to ( ) π det > + det( ) < +.(). (). Performance evaluaton e performance of te proposed swtcng sceme s verfed by computer smulaton, were te system parameters are summarzed n able. or comparson, te performance of a prevous swtcng sceme n [] s consdered, were te mode s selected based on te mnmum Eucldean dstance as π λmn d > mn, vsm d mn, stbc N <. () N ere, λ mn s te mnmum egenvalue of, and d mn,vsm and d mn,stbc are te mnmum dstance of te receved sgnal constellaton n te and te SBC mode, respectvely. or reference, te performance of non-adaptve MIMO scemes tat use a fxed MIMO mode (.e., or SBC) s also consdered. e performance of te proposed sceme s evaluated n terms of te capacty n te presence of transmt antennas correlaton, were te spatal correlaton s defned by { } E ρ. () e performance s evaluated n Rayleg flat fadng cannel as n te prevous sceme []. g. depcts te capacty performance wen te transmt cannel s weakly (e.g., ρ 0. ) and gly (e.g., ρ 0.9 ) correlated. It can be seen tat te proposed sceme outperforms te oter scemes by properly swtcng te MIMO mode accordng to te cannel condton. Especally, t can also be seen tat te prevous swtcng sceme as severe performance degradaton n ρ 0. and g SNR regon were te mode s preferred to te SBC mode. s s manly due to te fact tat te prevous sceme s desgned to favor te SBC mode, wc leads to capacty loss at te cost of relable transmsson. e proposed sceme provdes a capacty gan of about 0.8 bps/z over te prevous sceme wen ρ 0. and 0. bps/z wen ρ 0.9 at SNR 0 db. g. depcts te capacty performance accordng to Parameters Cannel model Cannel estmaton # of X antenna # of RX antenna Recever algortm Capacty (bps/z) Capacty (bps/z) 0 9 8 7 6 able. Smulaton parameters. Rayleg fadng Perfect non-adaptve (SBC) non-adaptve () adaptve (prevous) adaptve (proposed) Values MMSE () / Lnear MRC (SBC) 0 0 0 9 8 7 6 non-adaptve (SBC) non-adaptve () adaptve (prevous) adaptve (proposed) (a) Wen ρ 0. 0 0 0 (b) Wen ρ 0.9 g.. Capacty performance of te proposed sceme. te spatal correlaton at SNR 0dB. Wen te cannel s eavly correlated, t s desrable to employ te SBC mode. On te oter and, wen te cannel s uncorrelated, te mode s preferred to te SBC mode n an average sense. owever, tere are cases wen te SBC mode works better tan te mode even n

Capacty (bps/z) Outage probablty... non-adaptve (SBC) non-adaptve () adaptve (prevous) adaptve (proposed). 0 0. 0. 0. 0. 0. 0.6 0.7 0.8 0.9 Spatal correlaton ( ρ ) g.. Capacty performance accordng to ρ at SNR 0dB. 0 0 0-0 - 0 - non-adaptve (SBC) non-adaptve () adaptve (prevous) adaptve (proposed) 0 6 8 0 6 8 0 g.. Outage performance of te proposed swtcng sceme wen ρ 0.9. low spatal correlaton cannel, and vce versa. As a consequence, t can be seen tat te proposed swtcng sceme provdes te best performance rrespectve of spatal correlaton condton. Snce te prevous swtcng almost selects te SBC sceme at SNR 0dB, t provdes capacty performance very smlar to te SBC sceme rrespectve of te spatal correlaton. g. depcts te outage probablty at an outage capacty of bps/z wen te cannel s gly correlated. It can be seen tat te SBC mode s superor to te mode and te dfference ncreases as te SNR ncreases, wc s manly due to larger dversty gan of te SBC sceme. It can be seen tat, altoug te proposed sceme sows less advantages n ts condton, t stll as a notceable performance gan over te oter scemes. In fact, te proposed sceme as a gan over te prevous swtcng sceme about 0. db wen ρ 0.9 n terms of te outage probablty.. Conclusons We ave proposed a new swtcng sceme for te selecton of te MIMO mode n te m-wmax system. Assumng te use of a MMSE recever n te mode and a MRC recever n te SBC mode, te MIMO mode s smply swtced based on a tresold wc s analytcally determned n terms of te effectve SNR. e proposed sceme can outperform prevous MIMO swtcng scemes n terms of te capacty and outage probablty by explotng te dversty and multplexng gan. e smulaton results sow tat te proposed swtcng sceme works well rrespectve of te spatal correlaton and SNR condton. References [] IEEE Std 80.6e, Part 6: Ar Interface for xed and Moble Broadband Wreless Access Systems, Dec. 00. [] WMAX orum, WMAX orum Moble System Profle v.0.0, May 006. [] P. W. Wolnansky, G. J. oscn, G. D. Golden and R. A. Valenzuela,, V-BLAS: An arctecture for realzng very g data rates over te rcscatterng wreless cannel, n Proc. ISSSE-98, Psa, Italy, Sept. 998. [] S. Alamout, A smple transmt dversty tecnque for wreless communcatons, IEEE J. Sel. Areas Commun., vol. 6, pp. -8, Oct. 998. [] R. eat Jr. and A. Paulraj, Swtcng between dversty and multplexng n MIMO systems, IEEE rans. Commun., vol., no. 6, pp. 96-968, June 00. [6] C. Cae; M. Katz, C. Su, and. Jeong, "Adaptve spatal modulaton for MIMO-ODM," n Proc. WCNC 00, vol., pp. 87-9, Mar. 00. [7] A. orenza, M. R. McKay, I. B. Collngs and R. W. eat Jr., Swtcng between OSBC and spatal multplexng wt lnear recevers n spatally correlated MIMO cannels, n Proc. IEEE VC 006, vol., pp. 87-9, May 006. [8] A. orenza, M. McKay, A. Pandarpande, R. eat Jr. and I. Collngs, Capacty enancement va mult-mode adaptaton n spatally correlated MIMO cannels, n Proc. IEEE PIMRC 00, vol., pp. 7-78, Sept. 00. [9] R. Bagavatula, A. orenza and R. eat Jr., Impact of antenna geometry on adaptve swtcng n MIMO cannels, n Proc. WPMC 006, Sept. 006. [0] G. Strang, Lnear algebra and ts applcatons, Brooks-Cole, 988. [] D. se and P. Vsvanat, undamentals of wreless communcaton, Cambrdge Unversty Press, 00.