Performance Analysis of Large Intelligent Surface Aided Backscatter Communication Systems

被引：71
作者：
Zhao, Wenjing [1 ]
Wang, Gongpu [1 ]
Atapattu, Saman [2 ]
Tsiftsis, Theodoros A. [3 ]
Ma, Xiaoli [4 ]
机构：
[1] Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing Key Lab Transportat Data Anal & Min, Beijing 100044, Peoples R China
[2] Univ Melbourne, Dept Elect & Elect Engn, Parkville, Vic 3010, Australia
[3] Jinan Univ, Sch Intelligent Syst Sci & Engn, Zhuhai 519070, Peoples R China
[4] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA
来源：
IEEE WIRELESS COMMUNICATIONS LETTERS | 2020年 / 9卷 / 07期
基金：
澳大利亚研究理事会;
关键词：
Integrated circuits; Backscatter; Signal to noise ratio; Phase shift keying; Internet of Things; Upper bound; Reliability; Backscatter communication; Internet of Things (IoT); large intelligent surface; symbol error probability; high-reliable communication; MIMO;
D O I：
10.1109/LWC.2020.2976934
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Employing backscatter communication is a promising solution for Internet of Things (IoT). The novel large intelligent surface (LIS) concept can achieve reliable communication by establishing line-of-sight like channels. This letter thus considers an LIS-aided backscatter system to support high-reliable communications for IoT applications. In this letter, the symbol error probability (SEP) for both intelligent and random phase adjustments at the LIS reflectors is analytically investigated. In particular, we calculate the SEP based on the moment generating function approach and also provide tight SEP upper bounds for either fully correlated or mutually independent channels. Insightful observations of SEP outcomes reveal that having a large number of reflective elements on the LIS has a significantly positive impact on the SEP performance where high reliability can be achieved in moderate signal-to-noise.
引用
收藏
页码：962 / 966
页数：5
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