基于先进小区干扰协调技术的异构网络联合资源分配

高发射功率的宏基站与低发射功率的小基站之间的资源分配策略直接影响着异构蜂窝网络的性能。这是一个联合资源优化问题，即用户的基站接入选择、宏基站预留给小基站的资源数量和基站的调度策略。针对这一问题，利用块并列下降方法，提出了一组新颖的资源优化算法。所提出的解决方案能分布式实现，并兼容先进长期演进技术( LTE-A )协议中的先进小区间干扰协调技术( eICIC)。大量的动态系统级仿真结果表明系统性能和用户间公平性都得到了显著提升。

Joint resources allocation for enhanced inter-cell interference coordination in heterogeneous networks

Resources allocation between high-power macro base stations(BSs) and low-power microBSs deeply impact the performance of heterogeneous networks(HetNets).It is a joint optimization problem:(i) the UE association with eNBs,(ii) the amount of radio resource that macros should reserve for picos,and(iii) the resource scheduling strategy in each eNBs.The block coordinate decent(BCD) method is applied and a class of novel algorithms is developed to solve the joint problem.The solution can be deployed in distributed manner and implemented using enhance intercell interference coordination(eICIC) proposed by exiting LTE-A protocols.Extensive evaluation of proposed algorithms is performed on a dynamic system-level simulation and the numerical results show a significant gain for the users.System utilities and fairness are greatly enhanced with proposed algorithms.