Dynamic Sequential Channel Allocation in Cache-Enabled Wireless Multicasting Networks

Abstract

We present a potential game-based dynamic sequential channel allocation (DSCA) optimization method to enhance the channel utilization for cache-enabled multicasting wireless networks (CMWNs). Different from the traditional fixed channel allocation scheme, we first propose a DSCA scheme, in which channels can be allocated to different content files dynamically based on current requests and the priorities of sorted files. Then, we present two special cases of potential games and better response algorithms to achieve global optimization for CMWNs by minimizing the global interference level and global collision level. From simulation results, the DSCA achieves better global performance than the traditional fixed channel allocation in CMWNs.