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Base Station Association in Wireless Cellular Networks: An Emulation Based Approach

机译:无线蜂窝网络中的基站关联:一种基于仿真的方法

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摘要

In order to utilize network resources efficiently and reduce regional congestion, associating mobile stations (MSs) with proper base stations (BSs) is of crucial importance in wireless cellular networks. There have been several load-aware proposals in literature, where most are classified into so-called closed-form approaches. In such approaches, each MS independently and deterministically selects the BS which is expected to provide the highest throughput. The throughput is estimated by a closed-form equation based on the assumption of the Proportional Fair (PF) user scheduler that ensures temporal fairness. However, the closed-form approaches do not perform well when the closed-form equation is not available, e.g., general α-fair user scheduler, where temporal fairness is not guaranteed, or deterministic BS association may make wrong decisions, e.g., under the dynamics of mobility or flow arrivals/departures. In this paper, we propose a novel BS association scheme, called ViSE (Virtual Scheduling based Emulation) to tackle such challenges. It emulates an optimal BS association by running a notion of virtual scheduler, and each MS randomly determines its associated BS with the probability proportional to the throughput virtually allocated by the virtual scheduler. We demonstrate through extensive simulations under various practical scenarios that ViSE outperforms the existing algorithms in terms of user schedulers with diverse fairness and robustness to network dynamics.
机译:为了有效地利用网络资源并减少区域拥塞,在无线蜂窝网络中将移动站(MS)与适当的基站(BS)关联起来至关重要。文献中有几种负载感知方案,其中大多数被归类为所谓的封闭形式方法。在这样的方法中,每个MS独立地并且确定地选择期望提供最高吞吐量的BS。通过基于比例公平(PF)用户调度程序的假设的闭式方程来估计吞吐量,以确保时间公平。但是,当无法使用封闭形式的方程式时,例如无法保证时间公平性的通用α-公平用户调度程序,或者确定性BS关联可能做出错误的决定(例如,在流动性或流量到达/离开的动态。在本文中,我们提出了一种新颖的BS关联方案,称为ViSE(基于虚拟调度的仿真)来应对此类挑战。它通过运行虚拟调度程序的概念来模拟最佳BS关联,并且每个MS以与虚拟调度程序虚拟分配的吞吐量成比例的概率随机确定其关联的BS。我们通过在各种实际情况下进行的广泛仿真证明,ViSE在用户调度程序方面优于现有算法,并且对网络动态性具有多种公平性和鲁棒性。

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