Paper Info
Title
Large Intelligent Surface Assisted Wireless Communications With Spatial Modulation and Antenna Selection
Abstract
Novel communication technology based on large intelligent surface (LIS) <xref ref-type="bibr" rid="ref1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</xref> has arisen recently, with the aim to enhance the signal quality at the receiver. In this paper, a practical structure of LIS-based spatial modulation (LIS-SM) is proposed, in order to utilize both transmit and receive antenna indices. Meanwhile, the theoretical average bit error rate (ABER) performance bound of the developed LIS-SM scheme is investigated. For the sake of achieving further spatial diversity gain, we extend its employment to the antenna selection (AS) scenario, and a low-complexity selection algorithm is designed on the basis of minimum squared Euclidian distance and signal-to-leakage-and-noise ratio as well as the idea of greedy elimination algorithm. Performance analysis shows that AS-aided LIS-SM is more robust in terms of ABER compared with conventional LIS-SM. Moreover, complexity analysis also depicts that the proposed fast selection algorithm achieves much lower complexity yet a comparable ABER performance, compared to the traditional exhaustive search.
Year
DOI
Venue
2020
10.1109/JSAC.2020.3007044
IEEE Journal on Selected Areas in Communications
Keywords
DocType
Volume
Receiving antennas,Indexes,Modulation,Transmitting antennas,Complexity theory
Journal
38
Issue
ISSN
Citations 
11
0733-8716
9
PageRank 
References 
Authors
0.50
0
6
Name
Order
Citations
PageRank
Teng Ma1171.97
Yue Xiao29919.26
Xia Lei3111.55
Ping Yang4172.71
Xianfu Lei5273.77
Octavia A. Dobre62064181.08