Optimal Resource Block Assignment and Power Allocation for D2D-Enabled NOMA Communication

被引:32
作者
Chen, Jian [1 ,2 ,3 ,4 ]
Jia, Jie [1 ,2 ,3 ]
Liu, Yuanwei [5 ]
Wang, Xingwei [1 ]
Aghvami, Abdol Hamid [6 ]
机构
[1] Northeastern Univ, Sch Comp Sci & Engn, Shenyang 110819, Liaoning, Peoples R China
[2] Minist Educ, Engn Res Ctr Secur Technol Complex Network Syst, Shenyang 110819, Liaoning, Peoples R China
[3] Southeast Univ, Key Lab Comp Network & Informat Integrat, Minist Educ, Nanjing 211189, Jiangsu, Peoples R China
[4] Liaoning Res Ctr Safety Engn Technol Ind Control, Neusoft Grp Res, Shenyang 110179, Liaoning, Peoples R China
[5] Queen Mary Univ London, Sch Elect Engn & Comp Sci, London E1 4NS, England
[6] Kings Coll London, Dept Informat, London WC2R 2LS, England
基金
中国国家自然科学基金; 国家高技术研究发展计划(863计划);
关键词
DDM; DE; D2D; NOMA; RB assignment; power allocation; NONORTHOGONAL MULTIPLE-ACCESS; CELLULAR NETWORKS; OPTIMIZATION; PERFORMANCE;
D O I
10.1109/ACCESS.2019.2926438
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A novel joint optimization framework for device-to-device (D2D)-enabled non-orthogonal multiple access (NOMA) networks is proposed. Our objective is to maximize the performance of the D2D communication by jointly optimizing the resource block (RB) assignment and the power allocation, by considering the SIC decoding order of the NOMA-based cellular user equipments (CUEs). We invoke the distributed decision making (DDM) framework to decouple the formulated problem into two sub-problems. For the RB assignment sub-problem with integer variables, we propose a differential evolution (DE) algorithm to obtain the optimal NOMA CUE group and RB assignment for D2D pairs. For power allocation sub-problem with continuous variables and decoding order variables, we first use a heuristic algorithm to optimize the power allocation for NOMA-based CUEs with given D2D power allocation. We prove that the power allocation for the NOMA-based CUEs is the optimal solution. We then invoke the successive convex approximation (SCA) and DE to find the sub-optimal power allocation of the D2D pairs. The numerical results validate the feasibility, fast convergence, and flexibility of the proposed algorithm, and the performance with our algorithm outperforms the conventional OMA technology in terms of energy efficiency and sum rate.
引用
收藏
页码:90023 / 90035
页数:13
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