异构网络中基于干扰负载比的小区选择策略

Interference load ratio based user association scheme in heterogeneous networks

现有的小区选择算法在追求负载平衡的同时,往往没有考虑算法本身对用户干扰的影响,在一定程度上影响了小区性能指标。针对此类问题,从负载均衡和干扰管理两方面考虑,提出一种折中两项性能指标的小区选择算法。该算法首先将小区选择问题建模为负载和干扰的联合优化问题,然后对该最优化问题通过一种启发式算法进行求解,得出最佳用户小区选择因子矩阵,从而进一步提升异构小区的系统性能。仿真表明,该方案较其他传统小区选择方案在用户接入公平性和用户平均吞吐量上均有较大的提升。

The existing algorithms in pursuit of load balancing instead of considering the interference to users, which need additional interference control strategies to improve system performance. In this paper, a new cell selection scheme is proposed, with this proposed scheme, the optimization problem of user association is modeled jointly taking the traffic load of base station and interfer- ence to users into consideration, which gives a tradeoff between loading balancing and interference mitigation. A heuristic algorithm is given to obtain a suboptimal results of the proposed scheme. Simulation results show that the proposed scheme has better perfor- mance in terms of user fairness and the average user throughput than other traditional algorithms.