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Utility-Based Subchannel Allocation for OFDMA Femtocell Networks

机译:基于实用的子信道分配OFDMA Femtocell网络

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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,由于它们的小区尺寸小,我们可以从多个毫微微小区之间的信道重用来实现更高的空间分集。另外,如果在OFDMA系统上操作毫微微蜂窝,则通过仔细处理细胞间干扰,每个子信道可以在毫微微蜂窝中分别重复使用。然而,由于大量的毫微微蜂窝线和他们不协调和不规则的部署,我们需要非常仔细地治疗基于OFDMA的Fometocell网络,这使得开发有效的资源分配方案更加困难。在本文中,我们研究了一个子信道分配问题,其旨在最大化基于多马的毫微微小区网络的总和。由于该问题被制定为非线性整数编程,因此本质上难以解决,因此我们提出了一种次优子信道分配算法。所提出的子通道分配算法由两个步骤组成:计算应授予每个毫微微小区的子信道的数量,以最大化总和实用程序并找到实现每个毫微微小区的授予子信道数的实际子信道分配。数值结果表明,所提出的子信道分配算法提供了近最佳性能。

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