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Joint BS-User Association, Power Allocation, and User-Side Interference Cancellation in Cell-free Heterogeneous Networks

机译:无蜂窝异构网络中的联合BS用户关联,功率分配和用户端干扰消除

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摘要

Future wireless networks are expected to be heterogeneous with dense deployment of pico (small cell) base stations (BSs) overlaid with traditional macro BSs. There are two performance bottlenecks in such heterogeneous networks (HetNet): the interference issue and cell-edge effect. We propose to combine cell-free BS-user association (BUA), power control, and dynamic user-side interference cancellation (IC) to mitigate these bottlenecks. By dynamically selecting the “best” serving BSs for each user, the cell-free BUA can exploit the multi-BS diversity gain to mitigate the interference and cell-edge effect. Furthermore, the user-side IC eliminates the strong cross-tier interference. We formulate the joint optimization of cell-free BUA, power allocation, and user-side IC as a weighted sum-rate (WSR) maximization problem, and propose a WMMSE alternating optimization algorithm to solve it. Specifically, a generalized WMMSE method is proposed to solve the power optimization subproblem with nondifferentiable WSR function. Furthermore, by exploiting the specific problem structure, low complexity search methods are designed to find the optimal solutions of the combinatorial cell-free BUA and user-side IC subproblems. The proposed algorithm is shown to converge to a stationary solution of the joint problem. Simulations verify the significant gain of the proposed solution over existing solutions.
机译:预期未来的无线网络将与传统的宏BS叠加在一起的微微(小型蜂窝)基站(BS)密集部署而变得异构。这种异构网络(HetNet)有两个性能瓶颈:干扰问题和小区边缘效应。我们建议结合无小区基站用户协会(BUA),功率控制和动态用户方干扰消除(IC)来缓解这些瓶颈。通过为每个用户动态选择“最佳”服务BS,无小区BUA可以利用多BS分集增益来减轻干扰和小区边缘效应。此外,用户侧IC消除了强大的跨层干扰。我们将无单元BUA,功率分配和用户侧IC的联合优化公式化为加权总和(WSR)最大化问题,并提出了WMMSE交替优化算法来解决。具体而言,提出了一种通用的WMMSE方法来解决具有不可微WSR函数的功率优化子问题。此外,通过利用特定的问题结构,设计了低复杂度的搜索方法,以找到组合的无单元BUA和用户端IC子问题的最佳解决方案。所提出的算法显示收敛于联合问题的平稳解。仿真验证了所提出的解决方案相对于现有解决方案的显着收益。

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