Beam Index Modulation Wireless Communication With Analog Beamforming

被引：42

作者：

Ding, Yuan ^{[1
]}

Fusco, Vincent ^{[2
]}

Shitvov, Alexey ^{[3
]}

Xiao, Yue ^{[4
]}

Li, Hailin ^{[5
]}

机构：

[1] Heriot Watt Univ, ISSS, Edinburgh EH14 4AS, Midlothian, Scotland

[2] Queens Univ Belfast, Inst Elect Commun & Informat Technol ECIT, Belfast BT3 9DT, Antrim, North Ireland

[3] Cardiff Univ, Sch Phys & Astron, Cardiff CF24 3AA, S Glam, Wales

[4] Univ Elect Sci & Technol China, Natl Key Lab Sci & Technol Commun, Chengdu 611731, Sichuan, Peoples R China

[5] Nanjing Univ Aeronaut & Astronaut, Key Lab Radar Imaging & Microwave Photon, Coll Elect & Informat Engn, Nanjing 210016, Jiangsu, Peoples R China

来源：

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | 2018年 / 67卷 / 07期

基金：

英国工程与自然科学研究理事会;

关键词：

Beam index modulation (BIM); beamforming; spatial modulation (SM); spatial scattering modulation (SSM); spectral efficiency; GENERALIZED SPATIAL MODULATION; LOW-COMPLEXITY DETECTION; BEAMSPACE-MIMO; PERFORMANCE; DESIGN; SYSTEM;

D O I：

10.1109/TVT.2018.2819728

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, we propose a new architecture and performance analysis for beam index modulation (BIM) wireless communication implemented with the aid of analog beamforming. The BIM concept is presented in order to extend and adapt the spatial modulation concept to sparse wireless communication channel environments. It is shown that when compared with the conventional beamforming and SM strategies, the BIM system can achieve higher spectrum efficiency in high signal-to-noise ratio and non line-of-sight (nLoS) sparse channel scenarios. Furthermore, different to the previous spatial scattering modulation (SSM) work the proposed BIM architectures have reduced hardware complexity, and, importantly, in some nLoS sparse channel conditions the BIM can also outperform the SSM. The above findings were further validated by some demonstrative experiments that were conducted at 10 GHz.

引用

页码：6340 / 6354

页数：15

共 45 条

[1] Low RF-Complexity Millimeter-Wave Beamspace-MIMO Systems by Beam Selection [J].

Amadori, Pierluigi V. ;

Masouros, Christos .

IEEE TRANSACTIONS ON COMMUNICATIONS, 2015, 63 (06) :2212-2223

[2]

[Anonymous], [No title captured]

[3]

[Anonymous], 2013, PROC IEEE 78 VEH TEC

[4] Index Modulation Techniques for Next-Generation Wireless Networks [J].

Basar, Ertugrul ;

Wen, Miaowen ;

Mesleh, Raed ;

Di Renzo, Marco ;

Xiao, Yue ;

Haas, Harald .

IEEE ACCESS, 2017, 5 :16693-16746

[5]

Bliss D. W., 2005, Lincoln Laboratory Journal, V15, P97

[6] Beamspace MIMO for Millimeter-Wave Communications: System Architecture, Modeling, Analysis, and Measurements [J].

Brady, John ;

Behdad, Nader ;

Sayeed, Akbar M. .

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2013, 61 (07) :3814-3827

[7] Enhanced Spatial Modulation With Multiple Signal Constellations [J].

Cheng, Chien-Chun ;

Sari, Hikmet ;

Sezginer, Serdar ;

Su, Yu T. .

IEEE TRANSACTIONS ON COMMUNICATIONS, 2015, 63 (06) :2237-2248

[8] 60 GHz Wireless: Up Close and Personal [J].

Daniels, Robert C. ;

Murdock, James N. ;

Rappaport, Theodore S. ;

Heath, Robert W., Jr. .

IEEE MICROWAVE MAGAZINE, 2010, 11 (07) :S44-S50

[9] Spatial Modulation for Generalized MIMO: Challenges, Opportunities, and Implementation [J].

Di Renzo, Marco ;

Haas, Harald ;

Ghrayeb, Ali ;

Sugiura, Shinya ;

Hanzo, Lajos .

PROCEEDINGS OF THE IEEE, 2014, 102 (01) :56-103

[10] Spatial Scattering Modulation for Uplink Millimeter-Wave Systems [J].

Ding, Yacong ;

Kim, Kyeong Jin ;

Koike-Akino, Toshiaki ;

Pajovic, Milutin ;

Wang, Pu ;

Orlik, Philip .

IEEE COMMUNICATIONS LETTERS, 2017, 21 (07) :1493-1496

← 1 2 3 4 5 →