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Joint Power Control and Sub-carrier Assignment to Maximize Total Data Rate for Two-Tier Networks

机译:联合功率控制和子载波分配,以最大化两层网络的总数据速率

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摘要

Two-tier network is one of the most promising solutions to improve indoor coverage of cellular networks. When macro-tier and femto-tier share frequency spectrum, management of interference as a critical issue, attract much attention from industry and academia. Joint sub-carrier assignment and power control is considered as a way to interference management in orthogonal frequency division multiple access based two-tier networks. In this paper, a joint sub-carrier assignment and power control problem is addressed to maximize femtocells' total data rate such that the maximum transmit power budget and minimum data rate of users (macro and femto users) are satisfied. This problem is a mixed-integer non-linear programming problem, thus its optimal solution cannot be obtained in polynomial time. So, to tackle this issue, we decompose this problem into two sub-carrier assignment and power control sub-problems. To solve these sub-problems, heuristic algorithms are proposed. The simulation results demonstrate that our proposed algorithms outperform the existing algorithms in terms of femtocells' total data rate.
机译:两层网络是提高蜂窝网络的室内覆盖范围的最有希望的解决方案之一。当宏层和毫微微层共享频谱时,干扰管理成为一个关键问题,引起了业界和学术界的广泛关注。在基于正交频分多址的两层网络中,联合子载波分配和功率控制被认为是干扰管理的一种方式。在本文中,解决了联合子载波分配和功率控制问题,以最大化毫微微小区的总数据速率,从而满足用户(宏用户和毫微微用户)的最大发射功率预算和最小数据速率。该问题是混合整数非线性规划问题,因此无法在多项式时间内获得其最佳解。因此,为了解决这个问题,我们将该问题分解为两个子载波分配和功率控制子问题。为了解决这些子问题,提出了启发式算法。仿真结果表明,在毫微微小区的总数据速率方面,我们提出的算法优于现有算法。

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