Intelligent Reflecting Surface-assisted mmWave Communication with Lens Antenna Array

TY - JOUR

T1 - Intelligent Reflecting Surface-assisted mmWave Communication with Lens Antenna Array

AU - Wang, Yazheng

AU - Lu, Hancheng

AU - Zhao, Dan

AU - Deng, Yansha

AU - Nallanathan, Arumugam

N1 - Publisher Copyright: © 2015 IEEE.

PY - 2022/3

Y1 - 2022/3

N2 - In millimeter wave (mmWave) communication, lens antenna array has been considered as a potential technique to combat the severe path loss. However, blockage effect still exists. To address this issue, we design an intelligent reflecting surface (IRS) assisted wideband mmWave communication system with lens antenna array with limited radio frequency (RF) chains. This is the first attempt to design a mmWave communication system with the integration of IRS and lens antenna array. The designed system can realize high robust, low-complexity and cost-effective mmWave communication. To achieve desired performance, we first derive the signal-to-interference-plus-noise ratio (SINR) expression with the intersymbol interference, then we formulate a SINR maximization problem, by jointly considering the beamforming vector at base station with limited RF chains and reflection coefficient matrices at IRS with discrete phase levels. This problem is intractable and non-convex. To solve it, we optimize the reflection coefficient matrices by quadratic transformation with low-complexity closed-form expression, and the beamforming vector is handled by sparse beamforming optimization, where the l0 norm is approximated by the l1 norm. Finally, simulation results demonstrate the advantages of our proposed algorithm compared with benchmark schemes, e.g., 5 dB SINR gain can be achieved compared with existing algorithm.

AB - In millimeter wave (mmWave) communication, lens antenna array has been considered as a potential technique to combat the severe path loss. However, blockage effect still exists. To address this issue, we design an intelligent reflecting surface (IRS) assisted wideband mmWave communication system with lens antenna array with limited radio frequency (RF) chains. This is the first attempt to design a mmWave communication system with the integration of IRS and lens antenna array. The designed system can realize high robust, low-complexity and cost-effective mmWave communication. To achieve desired performance, we first derive the signal-to-interference-plus-noise ratio (SINR) expression with the intersymbol interference, then we formulate a SINR maximization problem, by jointly considering the beamforming vector at base station with limited RF chains and reflection coefficient matrices at IRS with discrete phase levels. This problem is intractable and non-convex. To solve it, we optimize the reflection coefficient matrices by quadratic transformation with low-complexity closed-form expression, and the beamforming vector is handled by sparse beamforming optimization, where the l0 norm is approximated by the l1 norm. Finally, simulation results demonstrate the advantages of our proposed algorithm compared with benchmark schemes, e.g., 5 dB SINR gain can be achieved compared with existing algorithm.

KW - Intelligent reflecting surface (IRS)

KW - lens antenna array

KW - millimeter wave (mmWave)

KW - blockage effect

KW - beamforming

UR - https://www.scopus.com/pages/publications/85115683325

U2 - 10.1109/TCCN.2021.3114184

DO - 10.1109/TCCN.2021.3114184

M3 - Article

AN - SCOPUS:85115683325

SN - 2332-7731

VL - 8

SP - 202

EP - 215

JO - IEEE Transactions on Cognitive Communications and Networking

JF - IEEE Transactions on Cognitive Communications and Networking

IS - 1

ER -