GENERALISED SPATIAL MODULATION FOR LARGE-SCALE MIMO

被引:0
|
作者
Younis, Abdelhamid [1 ]
Mesleh, Raed [2 ,3 ]
Di Renzo, Marco [4 ]
Haas, Harald [1 ]
机构
[1] Univ Edinburgh, Inst Digital Commun, Kings Bldg,Mayfield Rd, Edinburgh EH9 3JL, Midlothian, Scotland
[2] Univ Tabuk, Dept Elect Engn, Tabuk, Saudi Arabia
[3] Univ Tabuk, SNCS Res Ctr, Tabuk, Saudi Arabia
[4] Univ Paris Sud XI UPS, Ecole Super Elect SUPELEC, Paris, France
来源
2014 PROCEEDINGS OF THE 22ND EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) | 2014年
基金
英国工程与自然科学研究理事会;
关键词
Generalised spatial modulation (GSM); spatial modulation (SM); multiple-input multiple-output (MIMO); large scale MIMO; channel estimation errors (CSEs);
D O I
暂无
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
In this paper, the performance of generalised spatial modulation (GSM) and spatial modulation (SM) is studied assuming channel estimation errors (CSEs) and correlated Rayleigh and Rician fading channels. A new, simple, accurate and general analytical closed-form upper bound for the average bit error ratio (ABER) performance of both systems is derived. The analytical bound is shown to be applicable to correlated and uncorrelated channels, as well as to small and large scale multiple-input multiple-output (MIMO) systems. The results demonstrate that GSMis more suitable for large-scale MIMO systems than SM. The performance gain of GSM over SM is about 5 dB. The results also show that SM is very robust to CSEs. Specifically, the performance degradation of SM in the presence of CSEs are 0.7 dB and 0.3 dB for Rayleigh and Rician fading channels respectively. Lastly, the findings in this paper underpin the suitability of both GSM and SM for future large-scale MIMO systems.
引用
收藏
页码:346 / 350
页数:5
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