基于干扰管理的宏基站与家庭基站联合资源分配

提出了一种宏用户与家庭小区联合资源分配算法，该算法基于启发式动态分簇算法对宏用户和家庭基站进行联合信道分配，在对家庭基站进行分簇的同时有效降低了家庭基站系统与宏蜂窝系统之间的跨层干扰. 在保证宏用户和家庭用户QoS 的约束条件下，构建了以最小化家庭基站发射功率为目标的最优化问题，并推导了优化的家庭基站发射功率的闭合式，最后用次梯度法解优化问题. 仿真结果表明，该算法降低了家庭基站系统干扰，减小了家庭用户中断概率，并提高了家庭基站能量效率.

A joint Macrocell and Femtocell Resource Allocation Based on Interference Management

This paper proposes a joint resource allocation scheme. Joint spectrum allocation of Macrocell and Femtocells is introduced based on a dynamic heuristic clustering algorithm, which effectively mitigates cross-tier interference. An optimization problem is then formed to minimize the total power consumption of
FAPs under the QoS constraint both at each Femto user and each Macro user. A closed form of optimized power solution of FAP is derived to solve an optimization problem with a sub-gradient method. Simulation results show that the system interference and outrage of Femtocells are drastically decreased with the proposed algorithm, and therefore energy efficiency of Femtocells is enhanced.