Adaptive Transmission Design In Fog Radio Access Networks With Partition-Based Caching
2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)(2018)
摘要
This paper investigates the transmission design in fog radio access networks where each edge node (EN) has a local cache and can pre-store contents based on partition-based caching. In the considered partition-based caching, each file is partitioned into multiple subfiles and cached at different ENs. Upon user requests, the ENs can jointly transmit all the subfiles to the target users simultaneously. Each user adopts a successive interference cancellation receiver to decode each desired subfile with certain order. To improve the network performance, we propose a novel cache-aware scheme to determine the decoding order. Furthermore, we formulate a joint beamforming and dynamic EN clustering optimization problem to minimize the weighted sum of transmission power cost and fronthaul cost under the quality-of-service constraint for each user. An efficient algorithm by adopting smooth function approximation and convex-concave procedure is proposed to solve this problem. To exploit the advantages of partition-based caching, we further design a user-aware caching strategy. Numerical results show that the proposed transmission scheme together with the proposed caching strategy can strike a better balance between power consumption and fronthaul consumption than existing schemes.
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关键词
transmission power cost,partition-based caching,user-aware caching strategy,adaptive transmission design,fog radio access networks,local cache,cache-aware scheme,edge node,successive interference cancellation receiver,decoding order,joint beamforming and dynamic EN clustering optimization problem,weighted sum minimisation,quality-of-service constraint,smooth function approximation,convex-concave procedure
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