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Improving Dense Network Performance Through Centralized Scheduling and Interference Coordination

机译:通过集中调度和干扰协调提高密集网络的性能

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Dense network deployments comprising small cells pose a series of important challenges when it comes to achieving an efficient resource use and curbing intercell interference in the downlink. This paper examines different techniques to treat these problems in a dynamic way, from the network and the receiver sides. As a network coordination scheme, we apply a centralized joint cell association and scheduling mechanism based on dynamic cell switching by which users are not always served by the strongest perceived cell. The method simultaneously results in more balanced loads and increased performance. Interference management at the receiver is achieved through the use of a network-assisted interference cancellation and suppression (NAICS) receiver. In order to further boost the fifth percentile user data rates, the transmission rank at the interferers is selectively reduced by a centralized rank coordination functionality. These mechanisms are evaluated in an LTE-Advanced dense small cell scenario with dynamic traffic. Simulation results illustrate that a combination of the centralized cell association and scheduling scheme and interference cancellation at the receiver can provide fifth percentile data rate gains of up to 80% without a detrimental effect on the median user rates, under the applied assumptions and simulation settings. The gains reach 110% when rank coordination is applied.
机译:当涉及实现有效的资源使用和抑制下行链路中的小区间干扰时,由小型小区组成的密集网络部署提出了一系列重要挑战。本文从网络和接收方研究了以动态方式解决这些问题的不同技术。作为一种网络协调方案,我们应用了基于动态小区切换的集中式联合小区关联和调度机制,通过该机制,用户并不总是由最强感知小区服务。该方法同时导致更均衡的负载和更高的性能。通过使用网络辅助的干扰消除和抑制(NAICS)接收器,可以实现对接收器的干扰管理。为了进一步提高第五个百分位数的用户数据速率,通过集中式秩协调功能有选择地降低了干扰源的传输秩。在具有动态业务量的LTE-Advanced密集小小区场景中评估了这些机制。仿真结果表明,在应用的假设和仿真设置下,集中式小区关联和调度方案以及接收机处的干扰消除的组合可以提供高达80%的第五个百分位数据速率增益,而不会对中位数用户速率产生不利影响。应用等级协调时,收益达到110%。

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