TY - JOUR
T1 - Reconfigurable Intelligent Surface Assisted Device-to-Device Communications
AU - Chen, Yali
AU - Ai, Bo
AU - Zhang, Hongliang
AU - Niu, Yong
AU - Song, Lingyang
AU - Han, Zhu
AU - Vincent Poor, H.
N1 - Funding Information:
Manuscript received May 25, 2020; revised August 16, 2020 and October 28, 2020; accepted December 3, 2020. Date of publication December 21, 2020; date of current version May 10, 2021. This work was supported in part by the National Key Research and Development Program of China under Grant 2020YFB1806903; in part by the Fundamental Research Funds for the Central Universities under Grant 2020YJS218; in part by the National Natural Science Foundation of China under Grant 61725101, Grant 6196113039, Grant 61801016, and Grant U1834210; in part by the Royal Society Newton Advanced Fellowship under Grant NA191006; in part by the State Key Laboratory of Rail Traffic Control and Safety under Grant RCS2020ZT010 and Grant RCS2019ZZ007; in part by the State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, under Grant RCS2019ZZ005; in part by the Fundamental Research Funds for the Central Universities, China, under Grant I20JB0200030 and Grant 2020JBM089; in part by the open research fund of National Mobile Communications Research Laboratory, Southeast University (No. 2021D09); in part by the National Key Research and Development Program of China under Grant 2016YFE0200900; and in part by the U.S. National Science Foundation under Grant CCF-1908308. The associate editor coordinating the review of this article and approving it for publication was L. Duan. (Corresponding authors: Bo Ai; Yong Niu.) Yali Chen and Bo Ai are with the State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China (e-mail: chenyali@bjtu.edu.cn; boai@bjtu.edu.cn).
Publisher Copyright:
© 2002-2012 IEEE.
PY - 2021/5
Y1 - 2021/5
N2 - With the evolution of 5G, 6G and beyond, device-to-device (D2D) communications have been developed as an energy-, and spectrum-efficient solution. However, D2D links are allowed to share the same spectrum resources with cellular links, which will bring significant interference to those cellular links. Fortunately, an emerging technique called reconfigurable intelligent surface (RIS), can mitigate aggravated interference caused by D2D links by adjusting phase shifts of the surface to create favorable beam steering. In this paper, we study an RIS-assisted single cell uplink communication scenario, where a cellular link and multiple D2D links share the same spectrum and an RIS is adopted to mitigate the mutual interference. The problem of maximizing total system rate is formulated by jointly optimizing transmission powers of all links and discrete phase shifts of the surface. To obtain practical solutions, we capitalize on alternating maximization and the problem is decomposed into two sub-problems. For the power allocation, the problem is a difference of concave functions (DC) problem, which is solved with the gradient descent method. For the phase shift optimization, a local search algorithm is utilized. Simulation results show that deploying the RIS with optimized phase shifts can effectively eliminate the interference in D2D networks.
AB - With the evolution of 5G, 6G and beyond, device-to-device (D2D) communications have been developed as an energy-, and spectrum-efficient solution. However, D2D links are allowed to share the same spectrum resources with cellular links, which will bring significant interference to those cellular links. Fortunately, an emerging technique called reconfigurable intelligent surface (RIS), can mitigate aggravated interference caused by D2D links by adjusting phase shifts of the surface to create favorable beam steering. In this paper, we study an RIS-assisted single cell uplink communication scenario, where a cellular link and multiple D2D links share the same spectrum and an RIS is adopted to mitigate the mutual interference. The problem of maximizing total system rate is formulated by jointly optimizing transmission powers of all links and discrete phase shifts of the surface. To obtain practical solutions, we capitalize on alternating maximization and the problem is decomposed into two sub-problems. For the power allocation, the problem is a difference of concave functions (DC) problem, which is solved with the gradient descent method. For the phase shift optimization, a local search algorithm is utilized. Simulation results show that deploying the RIS with optimized phase shifts can effectively eliminate the interference in D2D networks.
KW - Device-to-device communications
KW - discrete phase shifts
KW - power allocation
KW - reconfigurable intelligent surface
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U2 - 10.1109/TWC.2020.3044302
DO - 10.1109/TWC.2020.3044302
M3 - Article
AN - SCOPUS:85098751733
SN - 1536-1276
VL - 20
SP - 2792
EP - 2804
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 5
M1 - 9301375
ER -