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引用次数: 4
摘要
在异构蜂窝网络中,干扰协调是一个主要的瓶颈。在LTE-A (release 10)中,增强细胞间干扰协调(enhanced inter cell interference coordination, eICIC)方案被提出作为一种有效的解决方案。值得注意的是,它涉及到几乎空白子帧(ABS)的方法,包括在一组预定义的子帧期间静音宏单元。这为覆盖小单元提供了在这些空白期间安排其最受干扰的用户的机会。然而,这种静音的缺点是降低了宏细胞的性能。为了充分优化资源分配和使整个系统的总吞吐量最大化,我们需要解决一个全局NP难非凸优化问题。在本文中,我们提出了一种改进的eICIC技术,在ABS期间具有自适应宏细胞传输。实际上,通过宏单元用户分组,将原全局优化问题分解为不相交的易处理子问题。然后通过联合空间波束形成和公平用户调度算法相结合的解决方案对子问题进行最优求解。与传统的ABS相比,仿真结果表明,该方案在不降低小小区增益的前提下,显著降低了ABS对宏小区吞吐量的影响。
Optimized ABS in LTE-Advanced Heterogeneous Networks with Adaptive Macro Cell Transmission
Interference coordination in heterogeneous cellular networks is a major bottleneck. In LTE-A (release 10), enhanced inter cell interference coordination (eICIC) scheme is proposed as an effective solution. It notably involves the approach of almost blank subframes (ABS) consisting of muting the macro cell during a set of predefined subframes. This offers the opportunity to the overlay small cells to schedule their most interfered users during these blanked periods. Nevertheless, this muting has the disadvantage of decreasing the performance of the macro cell. In order to fully optimize the resource allocation and maximize the total throughput of the entire system, we require solving a global NP hard non convex optimization problem. In this paper, we propose an improved eICIC technique with adaptive macro cell transmission during ABS periods. In fact, the original global optimization problem is decomposed into disjoint tractable sub-problems by means of macro cell users grouping. The sub-problems are then optimally solved through a solution combining joint spatial beamforming and fair user scheduling algorithm. Compared to the conventional ABS, simulation results show that the proposed scheme considerably reduces the impact of ABS on the macro cell throughput without reducing the gains achieved at the small cell.