User Association in Cache-enabled Ultra Dense Network with JT CoMP

Siyun Chen, Ye Wang, Jia Yu, Nian-sheng Wang, Yan Yan
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引用次数: 4

Abstract

Coordinated Multi Point(CoMP) can be employed to reduce interference and improve network throughput in Ultra Dense Network(UDN). However, backhaul capacity is a bottleneck in achieving the goal. Fortunately, proactive caching is a promising technology to alleviate backhaul load. In a cache-enabled system with CoMP, user association is an important problem which can give prominence to its advantage. In this paper, to pursue large network throughput gain at less cost of backhaul load, we formulate user association problem as an Integer Programming(IP) problem. Given the strategy of content placement, we propose an N-Best Binary Particle Swarm Optimization(NB-BPSO) algorithm to solve the problem. Simulation results show that our algorithm improves network throughput and reduces backhaul traffic significantly compared with traditional user association schemes.
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使用JT CoMP的启用缓存的超密集网络中的用户关联
在超密集网络(UDN)中,采用协调多点(CoMP)可以减少干扰,提高网络吞吐量。然而,回程容量是实现这一目标的瓶颈。幸运的是,主动缓存是一种很有前途的减轻回程负载的技术。在支持缓存的CoMP系统中,用户关联是一个重要的问题,可以突出其优势。为了在更小的回程负载代价下获得更大的网络吞吐量,我们将用户关联问题表述为整数规划(IP)问题。针对内容放置策略,提出了一种N-Best二元粒子群优化算法(NB-BPSO)来解决该问题。仿真结果表明,与传统的用户关联方案相比,该算法显著提高了网络吞吐量,减少了回程流量。
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