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Resource Allocations for Symbiotic Radio with Finite Block Length Backscatter Link

Chu, Zheng, Hao, Wanming, Xiao, Pei, Khalily, Mohsen and Tafazolli, Rahim (2020) Resource Allocations for Symbiotic Radio with Finite Block Length Backscatter Link IEEE Internet of Things Journal.

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Abstract

This paper exploits a generic downlink symbiotic radio (SR) system, where a Base Station (BS) establishes a direct (primary) link with a receiver having an integrated backscatter device (BD). In order to accurately measure the backscatter link, the backscattered signal packets are designed to have finite block length. As such, the backscatter link in this SR system employs the finite block-length channel codes. According to different types of the backscatter symbol period and transmission rate, we investigate the non-cooperative and cooperative SR (i.e., NSR and CSR) systems, and derive their average achievable rate of the direct and backscatter links, respectively. We formulate two optimization problems, i.e., transmit power minimization and energy efficiency maximization. Due to the non-convex property of these formulated optimization problems, the semidefinite programming (SDP) relaxation and the successive convex approximation (SCA) are considered to design the transmit beamforming vector. Moreover, a low-complexity transmit beamforming structure is constructed to reduce the computational complexity of the SDP relaxed solution. Finally, the simulation results are demonstrated to validate the proposed schemes.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Chu, Zhengzheng.chu@surrey.ac.uk
Hao, Wanmingw.hao@surrey.ac.uk
Xiao, PeiP.Xiao@surrey.ac.uk
Khalily, Mohsenm.khalily@surrey.ac.uk
Tafazolli, RahimR.Tafazolli@surrey.ac.uk
Date : 11 March 2020
Uncontrolled Keywords : Symbiotic radio (SR), backscatter, finite blocklength channel codes, semi-definite programming (SDP), successive convex approximation (SCA)
Depositing User : James Marshall
Date Deposited : 02 Apr 2020 10:01
Last Modified : 02 Apr 2020 10:01
URI: http://epubs.surrey.ac.uk/id/eprint/854107

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