发明名称 Enhanced Interference Management in Heterogeneous Wireless Networks
摘要 We show that for any given muting fraction, a more constrained version of the problem of interest can be optimally solved in an efficient manner. In addition, the obtained solution is also a near-optimal solution for the original problem (for the given muting ratio). This allows us provide an algorithm that offers a good solution to the original problem with a tractable complexity. We also derive a lower complexity greedy that offers good performance and a certain worst-case performance guarantee. Simulations over an example LTE HetNet topology reveal the superior performance of the proposed algorithms and underscore the benefits of jointly exploiting partial muting of the macro and load balancing.
申请公布号 US2015208256(A1) 申请公布日期 2015.07.23
申请号 US201514603723 申请日期 2015.01.23
申请人 NEC Laboratories America, Inc. 发明人 Prasad Narayan;Arslan Mustafa;Rangarajan Sampath
分类号 H04W24/04;H04L5/00;H04W28/02;H04W72/08 主分类号 H04W24/04
代理机构 代理人
主权项 1. A computer implemented method comprising: varying association of users to any one of multiple transmission points in a heterogeneous wireless network for managing interference of transmissions in the network, a muting fraction being one transmission point TP being inactivated or muted for a fraction of a frame duration while other transmission points TPs being active throughout the frame duration; determining, at a coarse time-scale, at the start of each frame a choice of which muting fraction to select for a macro TP and which users to associate with each TP so that all users are associated to one TP, by solving an optimization problem; averaging inputs to the optimization problem varying metrics that are relevant for a period longer than a backhaul latency, the varying metrics including metrics as single user rates under muting conditions and non-muting conditions with a set of muting fractions; applying a coarse time scale approach to solving the optimization problem, the coarse scale approach being based on frame level TP coordination of user association and macro partial muting; and applying a fine time scale approach to solving the optimization problem, the fine time scale approach being based on sub-frame level per-TP user scheduling without coordination.
地址 Princeton NJ US