一种自适应广义空间调制及其低复杂度算法

刘健伶; 陈志刚; 王磊

doi:10.7652/xjtuxb201604008

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一种自适应广义空间调制及其低复杂度算法

更新时间：2025-07-09

- 一种自适应广义空间调制及其低复杂度算法
- An Adaptive Modulation Algorithm with Low Complexity for Generalized Spatial Modulation
- 西安交通大学学报 2016年50卷第4期页码：48-53+67
- 作者机构：
  
  西安交通大学电子与信息工程学院,西安,710049
- 作者简介：
- 基金信息：
  
  : 2015-08-09。作者简介: 刘健伶(1989—),男,硕士生;陈志刚(通信作者),男,讲师,硕士生导师。基金项目: 陕西省自然科学基金资助项目(2015JM6305);华为创新研究计划资助项目(YB2015070059)
- DOI：10.7652/xjtuxb201604008
  中图分类号： TN911.7
- 网络首发：2016-04-10，
  
  纸质出版：2016
- 稿件说明：
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刘健伶, 陈志刚, 王磊. 一种自适应广义空间调制及其低复杂度算法[J]. 西安交通大学学报, 2016,50(4):48-53+67.

An Adaptive Modulation Algorithm with Low Complexity for Generalized Spatial Modulation[J]. 2016, 50(4): 48-53+67.
刘健伶, 陈志刚, 王磊. 一种自适应广义空间调制及其低复杂度算法[J]. 西安交通大学学报, 2016,50(4):48-53+67. DOI： 10.7652/xjtuxb201604008.

An Adaptive Modulation Algorithm with Low Complexity for Generalized Spatial Modulation[J]. 2016, 50(4): 48-53+67. DOI： 10.7652/xjtuxb201604008.

摘要

针对广义空间调制(GSM)算法不能充分地利用信道状态信息的缺陷

提出了一种适用于GSM系统的自适应调制算法(AGSM)

该算法利用已知信道状态信息

通过最大化空间调制星座点的最小欧氏距离

实现天线组合和符号调制星座的联合优化。进一步提出了一种低复杂度AGSM算法(LA-GSM)

通过减少可选符号调制星座数量

并在传统天线组合集合与剩余天线组合集合中分别自适应选择相同符号调制星座

实现较低复杂度的天线组合和符号调制星座的联合优化

同时兼顾系统空间分集增益。仿真结果表明:在相同系统频谱效率5 b/(s·Hz)和6根发射天线条件下

所提的AGSM和LA-GSM算法以一定的算法复杂度为代价

均获得了相比于传统GSM算法更低的误码率性能

特别是在较高信噪比时AGSM算法和LA-GSM算法的误码率分别近似为GSM算法误码率的1/10和1/3; 同时

LA-GSM算法获得了低误码率性能与低算法复杂度的较好折中。

Abstract

A new adaptive modulation algorithm for generalized spatial modulation(AGSM)is proposed to make full use of the channel state information. The algorithm realizes the joint optimization of antenna combinations and symbol modulation constellations by using the known channel state information and maximizing the minimum Euclidean distance of space-modulation constellation points so that the system performance is improved. Furthermore

a low-complexity AGSM algorithm(LA-GSM)is proposed to reduce the complexity of the joint optimization of antenna combinations and symbol modulation orders. The LA-GSM achieves a lower complexity and makes full use of the antenna combinations of GSM systems by reducing the number of available symbol modulation constellations and searching the identical symbol modulation constellations from the typical antenna combinations and remanent antenna combinations adaptively and respectively. Simulation results show that both the AGSM and the LA-GSM achieve much lower BER performance than the GSM does at a cost of certain complexity under same system spectral efficiency 5 b/(s·Hz)and 6 transmit antennas. Especially

the AGSM's BER and LA-GSM's BER are 1/10 and 1/3 of GSM's one

respectively

when the SNR is high. Moreover

the LA-GSM achieves a better trade-off between lower BER performance and lower complexity.

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references

MESLEH R Y, HAAS H, SINANOVIC S, et al. Spatial modulation [J]. IEEE Transactions on Vehicular Technology, 2008, 57(4): 2228-2241.

JEGANATHAN J, GHRAYEB A, SZCZECINSKI L. Spatial modulation: optimal detection and performance analysis [J]. IEEE Communications Letters, 2008, 12(8): 545-547.

陈诚, 王磊, 李晓峰. 采用星座旋转的高速率空时分组码空间调制算法 [J]. 西安交通大学学报, 2014, 48(12): 113-119.

CHEN Cheng, WANG Lei, LI Xiaofeng. A high rate space-time block coding spatial modulation algorithm using constellation rotation [J]. Journal of Xi'an Jiaotong University, 2014, 48(12): 113-119.

YOUNIS A, SERAFIMOVSKI N, MESLEH R, et al. Generalized spatial modulation [C]∥IEEE Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers. Piscataway, NJ, USA: IEEE, 2010: 1498-1502.

FU J, HOU C, XIANG W, et al. Generalized spatial modulation with multiple active transmit antennas [J]. IEEE Globecom Workshops, 2010, 29(16): 839-844.

YANG P, XIAO Y, YU Y, et al. Adaptive spatial modulation for wireless MIMO transmission systems [J]. IEEE Communications Letters, 2011, 15(6): 602-604.

YANG P, XIAO Y, YU Y, et al. Simplified adaptive spatial modulation for limited-feedback MIMO systems [J]. IEEE Transactions on Vehicular Technology, 2013, 62(6): 2656-2666.

RAJASHEKAR R, HARI K V S, HANZO L. Antenna Selection in spatial modulation systems [J]. IEEE Communications Letters, 2013, 17(3): 521-524.

PILLAY N, XU H. Comments on antenna selection in spatial modulation systems [J]. IEEE Communications Letters, 2013, 17(9): 1681-1683.

NTONTIN K, DI RENZO M, PEREZ-NEIRA A I, et al. A low-complexity method for antenna selection in spatial modulation systems [J]. IEEE Communications Letters, 2013, 17(12): 2312-2315.

龚丽莎, 尹露, 龚赛丹, 等. 基于空间调制的天线选择和能效优化算法 [J]. 电子科技大学学报, 2014, 43(4): 497-501.

GONG Li-sha, YIN Lu, GONG Sai-dan, et al. Transmit antenna selection and energy efficiency improvement for spatial modulation [J]. Journal of University of Electronic Science and Technology of China, 2014, 43(4): 497-501.

ZHENG J, CHEN J. Further complexity reduction for antenna selection in spatial modulation systems [J]. IEEE Communications Letters, 2015, 19(6): 937-940.

WANG Wen-Hsin, CHANG R Y. Signal-spatial constellation optimization for generalized spatial modulation [C]∥IEEE 79th Vehicular Technology Conference. Piscataway, NJ, USA: IEEE, 2014: 1-5.

NING M, ANGUO W, CHANGCAI H, et al. Adaptive Joint Mapping Generalised Spatial Modulation [C]∥IEEE International Conference on Communications in China. Piscataway, NJ, USA: IEEE, 2012: 520-523.

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