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Joint scheduling and resource allocation in uplink OFDM systems for broadband wireless access networks

机译:宽带无线接入网的上行OFDM系统中的联合调度和资源分配

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摘要

Orthogonal frequency division multiplexing (OFDM) with dynamic scheduling and resource allocation is a key component of most emerging broadband wireless access networks such as WiMAX and LTE (long term evolution) for 3GPP. However, scheduling and resource allocation in an OFDM system is complicated, especially in the uplink due to two reasons: (i) the discrete nature of subchannel assignments, and (ii) the heterogeneity of the users' subchannel conditions, individual resource constraints and application requirements. We approach this problem using a gradient-based scheduling framework. Physical layer resources (bandwidth and power) are allocated to maximize the projection onto the gradient of a total system utility function which models application-layer Quality of Service (QoS). This is formulated as a convex optimization problem and solved using a dual decomposition approach. This optimal solution has prohibitively high computational complexity but reveals guiding principles that we use to generate lower complexity sub-optimal algorithms. We analyze the complexity and compare the performance of these algorithms via extensive simulations.
机译:具有动态调度和资源分配功能的正交频分复用(OFDM)是大多数新兴宽带无线接入网络(如3GPP的WiMAX和LTE)的关键组件。然而,由于两个原因,OFDM系统中的调度和资源分配是复杂的,尤其是在上行链路中:(i)子信道分配的离散性,以及(ii)用户子信道条件,各个资源约束和应用的异质性要求。我们使用基于梯度的调度框架来解决此问题。分配物理层资源(带宽和功率)以最大程度地投影到对应用层服务质量(QoS)进行建模的整个系统实用程序功能的梯度上。这被公式化为凸优化问题,并使用对偶分解方法解决。这种最佳解决方案的计算复杂度高得令人望而却步,但揭示了我们用来生成较低复杂度的次优算法的指导原则。我们通过广泛的仿真来分析复杂性并比较这些算法的性能。

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