异构网载波聚合系统基于干扰对齐的联合算法研究*

为了满足异构网络热点区域覆盖，同时解决由于低功率基站在高功率基站覆盖区域随意分布而带来的小区间干扰及系统容量速率受限问题，提出了一种载波聚合系统的联合小区选择、载波选择和干扰对齐算法。该方法是在载波公平比例准则下，动态的选择成员载波。为了进一步降低小区间干扰，设计了新的基于干扰对齐的用户小区选择算法。理论分析表明，联合优化算法问题可以分解成三个子问题进行优化求解处理。仿真结果表明，与调度复用因子为1的参考算法相比，设计的方案由于联合了小区选择和载波选择使得用户选择低功率节点作为服务小区的机会增多，提高了低功率节点小区容量，使系统的吞吐量得到提高。

Joint Algorithm Research Based on Interference Alignment on Carrier Aggregation System in Heterogeneous Network

In order to satisfy the heterogeneous network hot spots region coverage and solve the performance loss due to interference between Macro cell and Pico cell, this paper proposes joint cell selection component carrier selection and interference alignment algorithm in the aggregation system. The method is under the rule of carrier fair proportion, dynamically select component carrier across the cells for different users. To further decrease inter-cell interference, this paper proposes new user cell selection based on interference alignment. Theoretical analysis showed that the three sub-optimization problem results are equivalent with the joint optimization problem. The simulation results show that compared with the reference algorithm, the designed scheme can improve the number of users of low power node, and realize the load balance between macro cell and Pico cell, improved the throughput of the heterogeneous system greatly.