Stochastic Modeling, Analysis And Optimization Of Coded Caching In Small-Cell Networks
2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)(2017)
摘要
Coded caching is able to exploit accumulated cache size in a wireless network by storing fractions of files in each node. In this work, we model, analyze, and optimize coded caching in cache-enabled small-cell networks (SCNs). We first propose a content delivery framework for coded caching, where multiple small base stations (SBSs) that cache different coded packets of a desired file transmit simultaneously upon a user request and the packets are decoded using successive interference cancellation (SIC)-based receiver. A closed-form expression for the successful transmission probability with SIC receiver in the high signal-to-noise ratio (SNR) region is derived by using stochastic geometry. We next optimize the cache placement to maximize the average fraction of offloaded traffic by the cache-enabled SBSs. The coded cache placement problem is formulated as a multiple-choice knapsack problem (MCKP). By exploiting the analytic properties of the average traffic offload fraction, we propose a greedy but optimal algorithm. Numerical results show our proposed coded caching scheme facilitated by simultaneous transmission and SIC-based receiving significantly outperforms uncoded caching. In addition, the coded caching only needs to split each file into a small number of fragments to approach an ideal performance.
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关键词
average traffic offload fraction,MCKP,multiple-choice knapsack problem,coded cache placement problem,cache-enabled SBS,stochastic geometry,SNR region,signal-to-noise ratio region,successful transmission probability,SIC-based receiver,successive interference cancellation-based receiver,user request,file transmit,coded packets,small base stations,content delivery framework,SCN,cache-enabled small-cell networks,wireless network,coded caching
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