Vector Perturbation Based on Symbol Scaling for Limited Feedback MISO Downlinks

被引:79
作者
Masouros, Christos [1 ]
Sellathurai, Mathini [2 ]
Ratnarajah, Tharmalingam [3 ]
机构
[1] UCL, Dept Elect & Elect Engn, London WC1E 6BT, England
[2] Heriot Watt Univ, Sch Engn & Phys Sci, Edinburgh EH14 4AS, Midlothian, Scotland
[3] Univ Edinburgh, Sch Engn, Edinburgh EH9 3JL, Midlothian, Scotland
关键词
Limited feedback; multi-user MIMO; non-linear precoding; vector precoding; MIMO; COMPLEXITY; COMMUNICATION; INTERFERENCE; MULTIANTENNA; PERFORMANCE; CAPACITY;
D O I
10.1109/TSP.2013.2291223
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We propose a low-complexity vector precoding (VP) scheme for the downlink of multi-user multiple input single output (MU-MISO) systems with limited feedback. Conventional VP requires the use of modulo operation and knowledge of the scaling factor used at the transmitter in order to remove the perturbation quantity at the receiver. The latter may be problematic in certain limited feedback scenarios where only quantized versions of the scaling factor can be made available at the receiver. To circumvent this shortcoming, we propose a modified VP technique where the search of perturbing vectors is limited to the area in the symbol constellation which is constrictive to the information symbols, i.e., the area where the distances from the decision thresholds are increased with respect to a distance threshold. By doing this, the perturbation quantities can only enhance detection and need not be removed at the receiver. Successful detection can therefore be done without the use of the modulo operation and the scaling factor, which makes the proposed VP scheme applicable to limited feedback scenarios. Analytical and simulation results show that the performance of the proposed scheme is free of the error floor typically encountered with conventional VP in the presence of limited feedback.
引用
收藏
页码:562 / 571
页数:10
相关论文
共 33 条
[11]   On the sphere-decoding algorithm I. Expected complexity [J].
Hassibi, B ;
Vikalo, H .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2005, 53 (08) :2806-2818
[12]  
Hassibi B, 2002, INT CONF ACOUST SPEE, P1497
[13]   A vector-perturbation technique for near-capacity multiantenna multiuser communication - Part II: Perturbation [J].
Hochwald, BM ;
Peel, CB ;
Swindlehurst, AL .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2005, 53 (03) :537-544
[14]   Massive MIMO in the UL/DL of Cellular Networks: How Many Antennas Do We Need? [J].
Hoydis, Jakob ;
ten Brink, Stephan ;
Debbah, Merouane .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2013, 31 (02) :160-171
[15]  
KOZLOV MK, 1980, USSR COMP MATH MATH, P223
[16]   Computationally Efficient Vector Perturbation Precoding Using Thresholded Optimization [J].
Masouros, C. ;
Sellathurai, M. ;
Ratnarajah, T. .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2013, 61 (05) :1880-1890
[17]  
MASOUROS C, IEEE WIRELE IN PRESS
[18]  
MASOUROS C, 2013, P IEEE ICC, P4646
[19]   A Low-Complexity Sequential Encoder for Threshold Vector Perturbation [J].
Masouros, Christos ;
Sellathurai, Mathini ;
Ratnarajah, Tharmalingam .
IEEE COMMUNICATIONS LETTERS, 2013, 17 (12) :2225-2228
[20]   Known Interference in the Cellular Downlink: A Performance Limiting Factor or a Source of Green Signal Power? [J].
Masouros, Christos ;
Ratnarajah, Tharmalingam ;
Sellathurai, Mathini ;
Papadias, Constantinos B. ;
Shukla, Anil K. .
IEEE COMMUNICATIONS MAGAZINE, 2013, 51 (10) :162-171