基于用户调度和功率控制的回程约束网络MIMO蜂窝边缘性能改进

Hao Xu, Pinyi Ren
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引用次数: 8

摘要

在蜂窝网络中,蜂窝间干扰严重降低了蜂窝边缘用户的性能。为了有效地管理小区间的干扰,提出了一种同时考虑用户调度和功率控制的多小区正交频分多址(OFDMA)网络策略。首先,在考虑信道增益和定向合作成本的情况下,提出了一种贪婪的用户调度方法;该方案调度同一子信道中所有小区的小区边缘用户。其次,在用户调度的指导下,采用强制零预编码的方法优先消除不同cell的cell-edge用户之间的干扰。第三,进行两步功率控制,进一步提高蜂窝边缘用户的性能。第一步,利用非凸优化子问题的强对偶性,求出保证蜂窝中心用户速率要求的最小功耗;第二步,利用每个小区的剩余功率来最大化小区边缘用户的性能。然后,在固定的用户调度下,进行干扰消除和功率控制的迭代,直到满足回程容量约束。性能分析证明了算法的收敛性,表明了用户调度的有效性。仿真结果表明,该算法对小区边缘用户的和速率有显著提高,而对小区中心用户的和速率降低可以忽略不计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joint user scheduling and power control for cell-edge performance improvement in backhaul-constrained network MIMO
Intercell interference severely degrades the performance of cell-edge users in cellular networks. To effectively manage the intercell interference, a heuristic scheme that jointly considers user scheduling and power control is proposed for multicell orthogonal frequency division multiple-access (OFDMA) networks with BS cooperation and limited backhaul capacity. First, a greedy user scheduling is proposed, taking both channel gain and the cost of directional cooperation into consideration. This scheme schedules the cell-edge users of all cells in the same subchannels. Second, under the guiding of user scheduling, the interference among cell-edge users of different cells can be preferentially cancelled with zero-forcing precoding. Third, a two-step power control is conducted to further improve cell-edge users performance. In the first step, with the strong duality of the nonconvex optimization subproblem, we obtain the minimum power consumption that guaranteeing the cellcenter users' rate requirement. In the second step, the residual power of per cell can be utilized to maximize cell-edge users performance. Then, with the fixed user scheduling, the iteration among interference cancelation and power control can be conducted until the backhaul capacity constraints are satisfied. Performance analysis proves the convergence of the proposed algorithm, and shows the effectiveness of the user scheduling. Simulation results show that, the proposed algorithm achieves a significant improvement of sum-rate for cell-edge users with negligible rate degradation for cell-center users.
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