Spectral and energy efficiency analysis of IRS-assisted dual UAVs detection system

Wei Liu; Yang Yang; Xinghui Che; Wei Cheng; Dan Wang

doi:10.1117/12.2667899

28 June 2023 Spectral and energy efficiency analysis of IRS-assisted dual UAVs detection system

Wei Liu, Yang Yang, Xinghui Che, Wei Cheng, Dan Wang

Proceedings Volume 12720, 2022 Workshop on Electronics Communication Engineering; 1272008 (2023) https://doi.org/10.1117/12.2667899
Event: 2022 Workshop on Electronics Communication Engineering (WECE 2022), 2022, Xi'an, China

Abstract

This letter analyzes the spectral and energy efficiency of an intelligent reflecting surface (IRS)-assisted the dual unmanned aerial vehicles (UAVs) in target detection with hardware support, where devices first harvest energy from a power station (PS) in the downlink (DL) and then transmit information to a data sink in the uplink (UL). However, in order to increase the spectral efficiency, most existing works on dual UAVs adopted the simplified linear energyharvesting methodology and also cannot guarantee the detection performance. To improve system property, we optimize the beamforming coefficients on the basis of improved semidefinite relaxation (SDR) to minimize the total transmit power subject to the signal-to-noise (SNR) of the receiving antenna reaches the standard. Moreover, we analyze the energy saving effect of optimized system. The simulation results show that with the increased number of elements in the IRS, the proposed method has better detection probability and higher energy efficiency.

Citation Download Citation

Wei Liu, Yang Yang, Xinghui Che, Wei Cheng, and Dan Wang "Spectral and energy efficiency analysis of IRS-assisted dual UAVs detection system", Proc. SPIE 12720, 2022 Workshop on Electronics Communication Engineering, 1272008 (28 June 2023); https://doi.org/10.1117/12.2667899

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available