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Utility-Based Subchannel Allocation for OFDMA Femtocell Networks

机译:OFDMA Femtocell网络的基于实用程序的子信道分配

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In femtocell networks, due to their small cell size, we can achieve higher spatial diversity from the channel reuse between multiple femtocells. In addition, if femtocells are operated on OFDMA systems, each subchannel can be reused separately among femtocells by carefully treating inter-cell interferences. However, due to a large number of femtocells and their uncoordinated and irregular deployment, we need to treat intercell interferences very carefully in OFDMA-based fmetocell networks, which make developing efficient resource allocation schemes more difficult. In this paper, we study a subchannel allocation problem that aims at maximizing the sum utility of the OFDMA-based femtocell network. Since the problem is formulated as a nonlinear integer programming, which is inherently difficult to solve, we propose a suboptimal subchannel allocation algorithm. The proposed subchannel allocation algorithm consists of two steps: calculating the number of subchannels that should be granted to each femtocell to maximize the sum utility and finding actual subchannel allocation that achieves the granted number of subchannels for each femtocell. Numerical results show that the proposed subchannel allocation algorithm provides near-optimal performance.
机译:在毫微微小区网络中,由于其较小的小区大小,我们可以从多个毫微微小区之间的信道复用中获得更高的空间分集。此外,如果毫微微小区在OFDMA系统上运行,则通过仔细处理小区间干扰,可以在各个毫微微小区之间分别重用每个子信道。然而,由于大量的毫微微小区及其不协调和不规则的部署,我们需要在基于OFDMA的毫微微小区网络中非常仔细地处理小区间干扰,这使得开发有效的资源分配方案变得更加困难。在本文中,我们研究了一个子信道分配问题,该问题旨在最大化基于OFDMA的毫微微小区网络的总和效用。由于该问题被公式化为非线性整数规划,这固有地难以解决,因此我们提出了次优子信道分配算法。所提出的子信道分配算法包括两个步骤:计算应授予每个毫微微小区以最大化总和效用的子信道数目,以及找到达到每个毫微微小区被授予子信道数目的实际子信道分配。数值结果表明,所提出的子信道分配算法具有近乎最优的性能。

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