Journal article

Performance Analysis of Large Intelligent Surface Aided Backscatter Communication Systems

Wenjing Zhao, Gongpu Wang, Saman Atapattu, Theodoros A Tsiftsis, Xiaoli Ma

IEEE Wireless Communications Letters | Institute of Electrical and Electronics Engineers | Published : 2020

Abstract

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 observat..

View full abstract

Grants

Awarded by Key Laboratory of Universal Wireless Communications (BUPT), Ministry of Education, China


Awarded by Natural Science Foundation of China (NFSC)


Awarded by NFSC Outstanding Youth


Awarded by Australian Research Council through the Discovery Early Career Researcher Award


Funding Acknowledgements

This work was supported in part by the Key Laboratory of Universal Wireless Communications (BUPT), Ministry of Education, China, under Grant KFKT-2018104, in part by the Natural Science Foundation of China (NFSC) under Grant 61571037, Grant 61871026, and Grant U1834210, in part by NFSC Outstanding Youth under Grant 61725101, and in part by the Australian Research Council through the Discovery Early Career Researcher Award under Grant DE160100020.