双联合收发空间调制方案设计与性能分析

doi:10.12305/j.issn.1001-506X.2021.07.09

系统工程与电子技术 ›› 2021, Vol. 43 ›› Issue (7): 1797-1803.doi: 10.12305/j.issn.1001-506X.2021.07.09

双联合收发空间调制方案设计与性能分析

卜祥燕¹, 白智全^1,*, 庞珂¹, 郝新红², 马丕明¹, 孙健¹

1. 山东大学信息科学与工程学院, 山东青岛 266237
2. 北京理工大学机电学院, 北京 100081

收稿日期:2020-09-09 出版日期:2021-06-30 发布日期:2021-07-08
通讯作者: 白智全
作者简介:卜祥燕 (1995—), 女, 硕士研究生, 主要研究方向为空间调制的优化设计、协作通信技术|白智全 (1978—), 男, 教授, 博士研究生导师, 博士, 主要研究方向为MIMO及空间调制技术、协作通信技术、基于大数据与人工智能的无线通信技术|庞珂 (1996—), 女, 博士研究生, 主要研究方向为信号星座设计、高效空间调制|郝新红 (1974—), 女, 副教授, 博士研究生导师, 博士, 主要研究方向无线信号处理、无线信息测量与控制|马丕明 (1970—), 女, 副教授, 硕士研究生导师, 博士, 主要研究方向为无线安全通信、信道编码理论及应用、高效调制和信道编码参数盲识别|孙健 (1974—), 男, 副教授, 硕士研究生导师, 博士, 主要研究方向为无线信道测量与建模、宽带无线通信传输技术
基金资助:
国家自然科学基金(61771291);国家自然科学基金(61871414);2018年山东省重点研发计划项目(公益性科技攻关类)(2018GGX101009)

Design and performance analysis of double joint transceiver spatial modulation scheme

Xiangyan BU¹, Zhiquan BAI^1,*, Ke PANG¹, Xinhong HAO², Piming MA¹, Jian SUN¹

1. School of Information Science and Engineering, Shandong University, Qingdao 266237, China
2. School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China

Received:2020-09-09 Online:2021-06-30 Published:2021-07-08
Contact: Zhiquan BAI

摘要/Abstract

摘要：

针对当前社会对高速率以及高效率日益增长的需求，提出了一种双联合收发空间调制(double joint transceiver spatial modulation, DJSM)方案, 在传统联合收发空间调制(joint transceiver spatial modulation, JSM)的基础上加入双空间调制(double spatial modulation, DSM), 提高空间调制(spatial modulation, SM)系统的信息传输速率和可靠性。DJSM方案中, 发送端通过进行两次独立SM过程, 将输入信息的比特序列分别映射至两个调制符号以及各自对应的激活发送天线分组, 从而显著提高系统频谱效率。为区分两调制符号, 在发送前会对其进行角度旋转最优化处理。基于联合上界技术，本文给出了DJSM方案的平均比特错误概率(average bit error probability, ABEP)。仿真结果表明本文所提DJSM方案的ABEP性能明显优于传统JSM方案和正交联合收发空间调制方案。

关键词: 联合收发空间调制, 双空间调制, 角度旋转, 平均比特错误概率

Abstract:

In response to the current society's increasing demand for high speed and high efficiency, a double joint transceiver spatial modulation (DJSM) scheme is proposed, which combines traditional joint transceiver spatial modulation (JSM) with double spatial modulation (DSM) for improving the system information bit rate and transmission reliability of spatial modulation (SM) system. In the proposed DJSM scheme, the transmitter carries out two independent SM processes, and the bit sequence of input information is mapped to two modulated symbols and the corresponding activated transmit antenna groups, respectively. The spectral efficiency of the DJSM system can be significantly improved. In order to distinguish the two modulated symbols, an optimal angle rotation is performed before the transmission. And the average bit error probability (ABEP) of the DJSM scheme has been derived based on the union bound technique. Simulation results show that the proposed DJSM scheme achieves much better ABEP performance compared with the traditional JSM scheme and orthogonal joint transceiver spatial modulation scheme.

Key words: joint transceiver spatial modulation, double spatial modulation, angle rotation, average bit error probability

中图分类号:

TN92

卜祥燕, 白智全, 庞珂, 郝新红, 马丕明, 孙健. 双联合收发空间调制方案设计与性能分析[J]. 系统工程与电子技术, 2021, 43(7): 1797-1803.

Xiangyan BU, Zhiquan BAI, Ke PANG, Xinhong HAO, Piming MA, Jian SUN. Design and performance analysis of double joint transceiver spatial modulation scheme[J]. Systems Engineering and Electronics, 2021, 43(7): 1797-1803.

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参考文献 32

1	MESLEH R Y , HAAS H , SINANOVIC S , et al. Spatial modulation[J]. IEEE Trans.on Vehicular Technology, 2008, 57 (4): 2228- 2242. doi: 10.1109/TVT.2007.912136
2	RENZO M D , H AAS H , GRANT P M . Spatial modulation for multiple-antenna wireless systems: a survey[J]. IEEE Communi cations Magazine, 2011, 49 (12): 182- 191. doi: 10.1109/MCOM.2011.6094024
3	YANG P , DIRENZO M , XIAO Y , et al. Design guidelines for spatial modulation[J]. IEEE Communications Surveys & Tutorials, 2015, 17 (1): 6- 26.
4	RENZO M D , HAAS H , GHRAYEB A , et al. Spatial modulation for generalized MIMO: challenges, opportunities, and implementation[J]. Proceedings of the IEEE, 2014, 102 (1): 56- 103. doi: 10.1109/JPROC.2013.2287851
5	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.
	LIU J L , CHEN Z G , WANG L . An adaptive modulation algorithm with low complexity for generalized spatial modulation[J]. Journal of Xi'an Jiaotong University, 2016, 50 (4): 48- 53.
6	WANG J T , JIA S Y , SONG J . Generalised spatial modulation system with multiple active transmit antennas and low complexity detection scheme[J]. IEEE Trans.on Wireless Communications, 2012, 11 (4): 1605- 1615. doi: 10.1109/TWC.2012.030512.111635
7	骆楷, 黄俊伟, 周朋光, 等. 正交空间调制的低复杂度检测算法[J]. 电信科学, 2017, 33 (5): 75- 81.
	LUO K , HUANG J W , ZHOU P G , et al. A low-complexity detection algorithm for quadrature spatial modulation systems[J]. Telecommunications Science, 2017, 33 (5): 75- 81.
8	MESLEH R , IKKI S S , AGGOUNE H M . Quadrature spatial modulation[J]. IEEE Trans.on Vehicular Technology, 2015, 64 (6): 2738- 2742. doi: 10.1109/TVT.2014.2344036
9	YANG L L. Transmitter preprocessing aided spatial modulation for multiple-input multiple-output systems[C]//Proc. of the IEEE 73rd Vehicular Technology Conference, 2011.
10	ZHANG R , YANG L L , HANZO L . Generalised pre-coding aided spatia l modulation[J]. IEEE Trans.on Wireless Communi- cations, 2013, 12 (11): 5434- 5443. doi: 10.1109/TWC.2013.100213.130848
11	LUO J S , WANG S L , WANG F G , et al. Generalized precoding aided spatial modulation via receive antenna transition[J]. IEEE Wireless Communications Letters, 2019, 8 (3): 733- 736. doi: 10.1109/LWC.2018.2889857
12	ZHANG R , YANG L L , HANZO L . Performance analysis of non-linear generalised pre-coding aided spatial modulation[J]. IEEE Trans.on Wireless Communications, 2016, 15 (10): 6731- 6741. doi: 10.1109/TWC.2016.2588468
13	ZHANG R , YANG L L , HANZO L . Error probability and capacity analysis of generalised pre-coding aided spatial modulation[J]. IEEE Trans.on Wireless Communications, 2015, 14 (1): 364- 375. doi: 10.1109/TWC.2014.2347297
14	SI Q T Y , JIN M L . A grouped pre-coding aided spatial modulation for MIMO systems[J]. IEEE Access, 2020, 8, 44643- 44651. doi: 10.1109/ACCESS.2020.2978080
15	WEN P B , HE X , XIAO Y , et al. Efficient receive antenna selec -tion for pre-coding aided spatial modulation[J]. IEEE Communications Letters, 2018, 22 (2): 416- 419. doi: 10.1109/LCOMM.2017.2732401
16	ZHENG J P . Fast receive antenna subset selection for precoding aided spatial modulation[J]. IEEE Wireless Communications Letters, 2015, 4 (3): 317- 320. doi: 10.1109/LWC.2015.2413396
17	陈发堂, 杨康, 付永莉, 等. 预编码辅助广义正交空间调制的低复杂度检测[J]. 系统仿真学报, 2019, 31 (10): 2078- 2084.
	CHEN F T , YANG K , FU Y L , et al. Low-complexity signal detection algorithm based on PGQSM[J]. Journal of System Simulation, 2019, 31 (10): 2078- 2084.
18	YANG P , XIAO Y , ZHANG B , et al. Star-QAM signaling constellations for spatial modulation[J]. IEEE Trans.on Vehicular Technology, 2014, 63 (8): 3741- 3749. doi: 10.1109/TVT.2014.2306986
19	VO B T, NGUYEN H H, TUAN H D. Constellation design for quadrature spatial modulation[C]//Proc. of the IEEE 86th Vehicular Technology Conference, 2017.
20	YIGIT Z, BASAR E. Double spatial modulation: a high-rate index modulation scheme for MIMO systems[C]//Proc. of the International Symposium on Wireless Communication Systems, 2016: 347-351.
21	ALTHUNIBAT S , MESLEH R . Enhancing spatial modulation system performance through signal space diversity[J]. IEEE Communications Letters, 2018, 22 (6): 1136- 1139. doi: 10.1109/LCOMM.2018.2817621
22	YANG Y C, MA P M, PANG K, et al. Design of space signal diversity based quadrature spatial modulation[C]//Proc. of the 19th International Symposium on Communications and Information Technologies, 2019: 173-177.
23	MURTALA S , HOLOUBI T , MUCHENA N , et al. On the performance of the multiple active antenna spatial modulation with 3-dimensional constellation[J]. Applied Sciences-basel, 2020, 22 (6): 3718- 3726.
24	CAO Y W , OHTSUKI T , JIANG X Q . Precoding aided generali zed spatial modulation with an iterative greedy algorithm[J]. IEEE Access, 2018, 6, 72449- 72457. doi: 10.1109/ACCESS.2018.2880844
25	LIU C , YANG L L , WANG W , et al. Joint transmitter—receiver spatial modulation[J]. IEEE Access, 2018, 6, 6411- 6423. doi: 10.1109/ACCESS.2018.2790959
26	LUO J S , WANG S L , WANG F G . Joint transmitter-receiver spatial modulation design via minimum euclidean distance maximization[J]. IEEE Journal on Selected Areas in Communications, 2019, 37 (9): 1986- 2000. doi: 10.1109/JSAC.2019.2929380
27	DONG R, WANG F G, LUO J S, et al. Quadrature joint transmitter-receiver spatial modulation[C]//Proc. of the 11th International Conference on Wireless Communications and Signal Processing, 2019.
28	JEGANATHAN J , GHRAYEB A , SZCZECINSKI L . Spatial modulation: optimal detection and performance analysis[J]. IEEE Communications Letters, 2008, 12 (8): 545- 547. doi: 10.1109/LCOMM.2008.080739
29	GUO Y, WU W X, ZHU Z C, et al. Low complexity detection algorithm for generalized precoding aided spatial modulation[C]//Proc. of the IEEE/CIC International Conference on Communications, 2018: 163-166.
30	MEN H Z , JIN M L . A low-complexity ML detection algorithm for spatial modulation systems with MPSK constellation[J]. IEEE Communications Letters, 2014, 18 (8): 1375- 1378. doi: 10.1109/LCOMM.2014.2331283
31	YANG P , XIAO Y , ZHANG B , et al. Phase rotation-based precoding for spatial modulation systems[J]. IET Communications, 2015, 9 (10): 1315- 1323. doi: 10.1049/iet-com.2014.1065
32	ZHENG J . Hybrid spatial modulation aided distributed relays: threshold detection and constellation rotation[J]. IEEE Access, 2017, 5, 21242- 21249. doi: 10.1109/ACCESS.2017.2757512

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双联合收发空间调制方案设计与性能分析

Design and performance analysis of double joint transceiver spatial modulation scheme

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方法	复杂度
JSM	2^αN_s(N_r+D)
DJSM	2^bN_s(N_r+D)