Beam Index Modulation Wireless Communication with Analog Beamforming

Yuan Ding; Vincent Fusco; Alexey Shitvov; Yue Xiao; Hailin Li

doi:10.1109/TVT.2018.2819728

Beam Index Modulation Wireless Communication with Analog Beamforming

Yuan Ding, Vincent Fusco, Alexey Shitvov, Yue Xiao, Hailin Li

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Abstract

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 (SM) 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 (SNR) 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.

Original language	English
Pages (from-to)	6340 - 6354
Number of pages	15
Journal	IEEE Transactions on Vehicular Technology
Volume	67
Issue number	7
Early online date	26 Mar 2018
DOIs	https://doi.org/10.1109/TVT.2018.2819728
Publication status	E-pub ahead of print - 26 Mar 2018

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Yuan Ding
- Yuan.Dinghw.acuk
- School of Engineering & Physical Sciences - Associate Professor
- School of Engineering & Physical Sciences, Institute of Sensors, Signals & Systems - Associate Professor
Person: Academic (Research & Teaching)

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title = "Beam Index Modulation Wireless Communication with Analog Beamforming",

abstract = "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 (SM) 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 (SNR) 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.",

author = "Yuan Ding and Vincent Fusco and Alexey Shitvov and Yue Xiao and Hailin Li",

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AU - Li, Hailin

PY - 2018/3/26

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N2 - 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 (SM) 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 (SNR) 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.

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JO - IEEE Transactions on Vehicular Technology

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Beam Index Modulation Wireless Communication with Analog Beamforming

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