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内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:Xidian Univ State Key Lab Integrated Serv Networks Xian 710071 Peoples R China
出 版 物:《IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS》 (IEEE Trans. Wireless Commun.)
年 卷 期:2017年第16卷第4期
页 面:2678-2692页
核心收录:
学科分类:0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学]
基 金:Huawei Innovation Research Program Natural Science Foundation of China [61231008, 91638202, 91338114] National ST Major Project [2016ZX03001022-003]
主 题:Resource management device-to-device sparse code multiple access graph theory
摘 要:In this paper, we investigate the energy-saving resource management problem for a new device-to-device (D2D) and cellular coexisting network, where D2D users employ orthogonal frequency division multiple access (OFDMA) and cellular users employ sparse code multiple access (SCMA). This hybrid network can support massive connectivity by exploiting the degrees of freedom in code and space domains, however, the complicated spectrum sharing pattern also leads to serious interference, which further boosts the power consumption of mobile devices (MDs). To tackle this problem, we propose a unified resource management scheme to minimize the total transmit power of all MDs by jointly optimizing mode selection, resource allocation, and power control. First, we analytically get the optimal resource-sharing mode (dedicated mode or reuse mode) for cellular users and D2D users based on the mapping rule between SCMA codebooks and OFDMA resource blocks. For each resource-sharing mode, we reformulate the resource management problems as classical problems in graph theory, and then devise efficient algorithms leveraging the special structure of the constructed graphs. Finally, simulation studies indicate that the network capacity is upgraded with the hybrid multiple access technologies, and the energy efficiency performance is also enhanced through the unified resource management.