异构网中基于改进蝙蝠算法的动态CRE偏置选择

Macrocell和Femtocell的两层蜂窝网络中的用户位置在空间和时间上具有很大的随机性，给资源分配和干扰管理带来许多挑战。为了适应这种随机性的资源分配，提高同频组网中下行异构蜂窝网络的小区边缘用户的通信速率，更好地实现负载均衡效果，提出了一种基于改进蝙蝠算法来实时动态设置Femtocell小区范围扩展偏置值（CRE）的方案，来缓解宏基站高热点负载压力，提高网络容量，从而用户合理选择接入不同基站，使功率资源得到合理利用，达到负载均衡的目的。仿真结果表明，与现有方案相比，该方案在保证Macrocell通信性能的情况下，提高了小区边缘数据速率及能效，实现了更好的负载均分效果。

Dynamic CRE Bias Selection Based on Improved Bat Algorithm in Heterogeneous Networks

The location of users in a two-tier cellular network including Macrocell and Femtocell is very random in the space domain and the time domain, which brings many challenges to resource allocation and interference management. To adapt to this random resource allocation, improve the communication speed of the cell edge users of the downlink heterogeneous cellular network in the same-frequency networking, and achieve a better load balancing effect, an improved bat algorithm is proposed to dynamically set the Femtocell Cell Range Expansion（CRE） offset value in real time, The  scheme  is used to relieve the high hot spot load pressure of the macro base station and incr- ease the network capacity, so that the user can reasonably choose to access different base stations, and the power resources can be reasonably used to achieve load balancing. The simulation results show that compared with the existing schemes, the proposed scheme improves the cell edge data rate and the energy efficiency, and achieves a better load sharing effect under the condition of Macrocell communication performance.