Reconfigurable Intelligent Surface Empowered Underlaying Device-to-Device Communication

被引:5
作者
Yang, Gang [1 ]
Liao, Yating [1 ]
Liang, Ying-Chang [1 ]
Tirkkonen, Olav [2 ]
机构
[1] Univ Elect Sci & Technol China, Chengdu, Peoples R China
[2] Aalto Univ, Aalto, Finland
来源
2021 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC) | 2021年
基金
芬兰科学院; 中国国家自然科学基金;
关键词
Device-to-device communication; reconfigurable intelligent surfaces; passive beamforming; power allocation; iterative algorithm; OPTIMIZATION;
D O I
10.1109/WCNC49053.2021.9417307
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Reconfigurable intelligent surfaces (RIS) are a new and revolutionary technology to achieve spectrum, energy- and cost-efficient wireless networks. This paper studies the resource allocation for RIS-empowered device-to-device (D2D) communication underlaying a cellular network, in which an RIS is employed to enhance desired signals and suppress interference between paired D2D and cellular links. We maximize the sum rate of D2D users and cellular users by jointly optimizing the resource reuse indicators, the transmit power and the RIS's passive beamforming. To solve the formulated non-convex problem, we first propose an efficient user-pairing scheme based on relative channel strength to determine the resource reuse indicators. Then, the transmit power and the RIS's passive beamforming are jointly optimized by an iterative algorithm, based on the techniques of alternating optimization, successive convex approximation, Lagrangian dual transform and quadratic transform. Numerical results show that the proposed design outperforms the traditional D2D network without RIS.
引用
收藏
页数:6
相关论文
共 16 条
[1]   A Survey on Device-to-Device Communication in Cellular Networks [J].
Asadi, Arash ;
Wang, Qing ;
Mancuso, Vincenzo .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2014, 16 (04) :1801-1819
[2]   A sequential parametric convex approximation method with applications to nonconvex truss topology design problems [J].
Beck, Amir ;
Ben-Tal, Aharon ;
Tetruashvili, Luba .
JOURNAL OF GLOBAL OPTIMIZATION, 2010, 47 (01) :29-51
[3]   Device-to-Device Communications Underlaying Cellular Networks [J].
Feng, Daquan ;
Lu, Lu ;
Yi Yuan-Wu ;
Li, Geoffrey Ye ;
Feng, Gang ;
Li, Shaoqian .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2013, 61 (08) :3541-3551
[4]  
Grant M., 2013, CVX: MATLAB software for disciplined convex programming
[5]   Weighted Sum-Rate Maximization for Reconfigurable Intelligent Surface Aided Wireless Networks [J].
Guo, Huayan ;
Liang, Ying-Chang ;
Chen, Jie ;
Larsson, Erik G. .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2020, 19 (05) :3064-3076
[6]   Robust Adaptive Beamforming Using Sequential Quadratic Programming: An Iterative Solution to the Mismatch Problem [J].
Hassanien, Aboulnasr ;
Vorobyov, Sergiy A. ;
Wong, Kon Max .
IEEE SIGNAL PROCESSING LETTERS, 2008, 15 :733-736
[7]   A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data [J].
Hong, Mingyi ;
Razaviyayn, Meisam ;
Luo, Zhi-Quan ;
Pang, Jong-Shi .
IEEE SIGNAL PROCESSING MAGAZINE, 2016, 33 (01) :57-77
[8]   Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication [J].
Huang, Chongwen ;
Zappone, Alessio ;
Alexandropoulos, George C. ;
Debbah, Merouane ;
Yuen, Chau .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2019, 18 (08) :4157-4170
[9]  
Liang Y.C, 2020, DYNAMIC SPECTRUM MAN
[10]  
Liang Yingchang, 2019, [Journal of Communications and Information Networks, 通信与信息网络学报], V4, P40