Downlink Sum-Rate Optimization Leveraging Hungarian Method In Fog Radio Access Networks
2018 32ND INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING (ICOIN)(2018)
摘要
With the expected rigorous requirements of 5G era (e.g, throughput, serviceability, and latency), the fog radio access networks (F-RANs) emerge as a promising paradigm for 5G wireless communication system. F-RANs provide impressive performance in terms of their high data rate, ultra-low latency and user experience continuity for highly localized services in close proximity to user equipments (UEs). In F-RANs, UEs are mostly allocated resource by preferred remote radio heads (RRHs) which have the best signal-to-interference-plus-noise ratio (SINR). This circumstance leads these RRHs to suffer an overload issue and decreases the entire network throughput. To cope with these problems, we propose a downlink sum-rate optimization (DSRO) scheme, which utilizes the Hungarian method and greedy algorithm combination to balance the resource allocation scheduling among RRHs in order to achieve an optimal downlink sum-rate. The experimental results demonstrate the performance of the DSRO scheme in terms of throughput as well as serviceability.
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关键词
resource allocation, sum-rate optimization, Hungarian method, greedy algorithm, fog radio access networks
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