Joint Power and Channel Allocation Based on Caching with User Preferences in D2D HetNets

被引:0
作者
Lyu, Xinpeng [1 ]
Wang, Ying [1 ]
Liu, Man [1 ]
Li, Zhendong [1 ]
Fei, Zixuan [1 ]
Ning, Weichen [1 ]
机构
[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
来源
2019 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC) | 2019年
关键词
Device-to-device; user preferences; channel; power; particle swarm optimization algorithm; CELLULAR NETWORKS; OPTIMIZATION; COOPERATION; DESIGN; POLICY;
D O I
10.1109/iccchina.2019.8855864
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Device-to-device (D2D) and caching can effectively solve the problem of repeated transmission of plentiful short videos in wireless networks. This paper considers a downlink video transmission process among cellular users and D2D users with interference between co-channel users. Caching with user preferences in D2D users is also taken into consideration to improve the system capacity. Joint channel and power allocation is optimized to maximize the sum rate of all users. The problem is a mixed integer nonlinear programming (MINLP) and is hard to solve. Firstly, the concept of cache similarity distance based on user preferences and video popularity is introduced to divide users into different groups. Then, the optimization problem is decoupled into two sub-problems. And a joint channel and power allocation algorithm based on caching with user preferences is proposed. Besides, a penalty function is introduced to handle constraints and a speed update function is modified to optimize binary variables and continuous variables simultaneously. Finally, an improved particle swarm optimization algorithm (PSO) is proposed to solve the problem. Simulation results show that the proposed algorithm can effectively improve the system capacity of the network.
引用
收藏
页数:6
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