TY - JOUR
T1 - Hybrid Deployment of Multi-hierarchical RISs for Probabilistic LoS Communication in Dense Urban
AU - Tian, Zhong
AU - Wang, Jing
AU - Chen, Zhengchuan
AU - Wang, Min
AU - Jia, Yunjian
AU - Wu, Dapeng O.
PY - 2023/8
Y1 - 2023/8
N2 - Reconfigurable intelligent surface (RIS) is an emerging technology for enabling the manipulation of wireless environments, which shows great potential for the coverage and capacity enhancements of wireless networks. In this letter, a hybrid deployment scheme of terrestrial and aerial RISs (TRIS, ARIS) is proposed to avoid the obstruction of light-of-sight (LoS) communication in dense urban. The objective is to maximize the minimum average rate of users located in different blind zones of dense urban by jointly optimizing transmit beamforming at BS, the reflecting coefficients of TRISs and ARIS, and the height deployment of ARIS. Due to the non-convexity of this problem, an effective iterative method including fractional programming, projected subgradient method, and local region optimization is proposed to divide and conquer each subproblem. Numerical simulations indicate the effectiveness of the joint optimization on the passive beamformings of multi-hierarchical RISs and the height deployment of the ARIS for enhancing system performance, and demonstrate a clear gain of the proposed scheme of hybrid deployment compared with the benchmark schemes. © 2023 IEEE.
AB - Reconfigurable intelligent surface (RIS) is an emerging technology for enabling the manipulation of wireless environments, which shows great potential for the coverage and capacity enhancements of wireless networks. In this letter, a hybrid deployment scheme of terrestrial and aerial RISs (TRIS, ARIS) is proposed to avoid the obstruction of light-of-sight (LoS) communication in dense urban. The objective is to maximize the minimum average rate of users located in different blind zones of dense urban by jointly optimizing transmit beamforming at BS, the reflecting coefficients of TRISs and ARIS, and the height deployment of ARIS. Due to the non-convexity of this problem, an effective iterative method including fractional programming, projected subgradient method, and local region optimization is proposed to divide and conquer each subproblem. Numerical simulations indicate the effectiveness of the joint optimization on the passive beamformings of multi-hierarchical RISs and the height deployment of the ARIS for enhancing system performance, and demonstrate a clear gain of the proposed scheme of hybrid deployment compared with the benchmark schemes. © 2023 IEEE.
KW - Array signal processing
KW - broadcasting communication
KW - Buildings
KW - Hybrid deployment of multi-hierarchical RISs
KW - Linear programming
KW - LoS probability
KW - Millimeter wave communication
KW - Probabilistic logic
KW - Signal to noise ratio
KW - Urban areas
UR - http://www.scopus.com/inward/record.url?scp=85161542500&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85161542500&origin=recordpage
U2 - 10.1109/LCOMM.2023.3283241
DO - 10.1109/LCOMM.2023.3283241
M3 - RGC 21 - Publication in refereed journal
SN - 1089-7798
VL - 27
SP - 2207
EP - 2211
JO - IEEE Communications Letters
JF - IEEE Communications Letters
IS - 8
ER -