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Joint user association and resource allocation for eICIC with QoS provisioning in HetNets

机译:HetNets中具有QoS设置的eICIC的联合用户关联和资源分配

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The heterogeneity between macro and pico base stations (BSs) and the uneven traffic distribution bring challenges for the load balancing and interference coordination in heterogeneous networks (HetNets). Besides, how to guarantee the quality of service (QoS) requirement of pico users when the heavy traffic is offloaded from macro BSs to pico BSs is also a problem worth considering. In this paper, we jointly consider macro user offloading strategy, almost blank subframes (ABS) ratio configuration and resource allocation scheme to deal with the above difficulties, where ABS is a feasible way for enhanced inter-cell interference coordination (eICIC). Specifically, we first formulate a joint user association and resource allocation problem for eICIC with QoS provisioning, and then use the Gauss-Seidel method to decouple the joint problem to three subproblems and solve them in an iterative manner. Furthermore, we propose a heuristic algorithm with low complexity based on the intermediate analytical results. Comparing the proposed scheme with the cell range expansion (CRE) scheme, significant edge throughputs and fairness gains are observed in the simulations.
机译:宏基站和微微基站(BS)之间的异构性以及不均匀的流量分布为异构网络(HetNets)中的负载平衡和干扰协调带来了挑战。此外,当从宏BS到微微BS卸载繁重的业务时,如何保证微微用户的服务质量(QoS)要求也是一个值得考虑的问题。在本文中,我们共同考虑了宏用户卸载策略,几乎空白子帧(ABS)比率配置和资源分配方案,以解决上述难题,其中ABS是增强小区间干扰协调(eICIC)的可行方法。具体来说,我们首先为带有QoS设置的eICIC制定一个联合用户关联和资源分配问题,然后使用Gauss-Seidel方法将联合问题分解为三个子问题并以迭代方式解决。此外,基于中间分析结果,我们提出了一种低复杂度的启发式算法。将拟议的方案与小区范围扩展(CRE)方案进行比较,在仿真中观察到了显着的边缘吞吐量和公平性收益。

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