基于改进布谷鸟算法的LTE-A系统跨层资源分配

Cross-layer Resource Allocation based on Modified Cukoo Search Algorithm in LTE-A System

针对传统跨层资源分配只考虑完全信道状态信息的问题,建立了不完全信道状态信息下的跨层资源分配模型,并将改进的布谷鸟算法运用到跨层子载波分配中。该算法在传统布谷鸟算法的基础上引入随机扰动因子和自适应步长,降低了陷入局部收敛的概率,提高了搜索效率。仿真实验结果表明,该算法能快速、准确地分配子载波,使系统传输速率提高了1.5%,传输时延下降了3.1%,平均丢包率下降了3.2%。

Aiming at the problem that the traditional cross-layer resource allocation would consider only the full channel state information, a cross-layer resource allocation model with incomplete channel state information is proposed; and the modified cuckoo algorithm is applied to the subcarrier allocation. Based on the traditional cuckoo algorithm, the random perturbation factor and the adaptive step size are introduced to reduce the probability of falling into local convergence and improve the searching efficiency. Simulation results indicate that the modified algorithm could quickly and accurately allocate the subcarriers, and realize the improvement of system transmission rate by 1.5%, while the transmission delay is reduced by 3.1%, and the average packet-loss rate decreased by 3.2%.