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Resource Allocation for Decode-and-Forward Relaying Assisted Multi-cell Orthogonal Frequency Division Multiplexing Systems with Frequency Planning

机译:具有频率规划的解码转发中继辅助多小区正交频分复用系统的资源分配

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摘要

In this paper we apply frequency planning to the resource allocation of multi-cell and multi-user relay enhanced orthogonal frequency division multiplexing systems and propose a low-complexity algorithm taking into account of interference coordination, subcarrier and power allocation. We divide each cell into three sectors and allow different subcarrier set that can be used by the users of one sector. Such a method can help to increase the distance among users that use the same subcarriers of adjacent cells, which can reduce the impact of co-channel interference to a certain extent. Therefore, the original problem can be decoupled into three independent sub-problems by means of frequency dividing and adaptive power allocation at base station nodes which can reduce the computing complexity greatly. In the process of resource allocation for single sector, the relationship of transmission power between base station and relay node is used to transform the max-min problem into standard closed expression. With the help of dual decomposition approach, water-filling theorem and iterative power allocation algorithm, the suboptimal solution of the primal problem can be achieved finally. Simulation results illustrate that our proposed algorithm achieves almost the same performance as the optimal resource allocation and reduce the computing complexity greatly. In addition, the proposed algorithm can ensure the users fairness of different sectors.
机译:本文将频率规划应用于多小区和多用户中继增强正交频分复用系统的资源分配,并提出一种考虑干扰协调,子载波和功率分配的低复杂度算法。我们将每个小区分为三个扇区,并允许一个扇区的用户可以使用不同的子载波集。这样的方法可以帮助增加使用相邻小区的相同子载波的用户之间的距离,这可以在一定程度上减少同信道干扰的影响。因此,通过在基站节点进行分频和自适应功率分配,可以将原始问题分解为三个独立的子问题,从而可以大大降低计算复杂度。在单扇区资源分配过程中,利用基站与中继节点之间的传输功率关系,将最大最小问题转化为标准的封闭式。借助于对偶分解方法,注水定理和迭代功率分配算法,最终可以解决原始问题的次优解。仿真结果表明,该算法与最优资源分配几乎具有相同的性能,并大大降低了计算复杂度。另外,该算法可以保证不同部门用户的公平性。

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