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Dynamic Link Selection for Interference Mitigation in D2D Multicast Content Sharing Networks
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DOI：10.1109/LCOMM.2019.2952846.png)
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摘要
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In this letter, we study the link selection problem for interference mitigation under dynamic channel conditions in D2D multicast content sharing networks. We firstly transform the problem into a stochastic game, in which the utility of each player (i.e., cluster head) is designed as the maximum expected weighted interference suffered by the receivers in the cluster. Then, we propose a simple and uncoupled link selection algorithm based on stochastic learning algorithm to obtain the Nash Equilibrium points. Importantly, the proposed algorithm only requires little intra-cluster information feedback. Theoretical analyses and numerical results validate the effectiveness of our proposed algorithm under dynamic channel conditions.
Keyword:
Link selection
interference mitigation
dynamic channel conditions
stochastic game
stochastic learning algorithm
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IF:
4.4
论文数:
1.3W
被引数:
2.2W
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