一种新的基于遗传算法的OFDM系统跨层资源分配方案

在进行多用户OFDM系统的MAC层设计时,提出一种同时考虑应用层分组到达过程,用户时延QoS和物理层子载波信道条件的跨层资源分配方案.该方案将这三层综合成一个整体考虑,把问题归结为约束函数优化问题.为了有效解决该优化问题,又提出一种低复杂度的基于精英选择的遗传算法.数值计算实例证明了所提算法的有效性,且其低复杂度使得它非常适用于实际系统中.

A new cross-layer resource allocation scheme in OFDM system based on genetic algorithm

A new cross-layer resource allocation scheme in multiuser OFDM system is proposed, where the packet arrival process, delay QoS in the application layer and the subcarrier conditions for all users in the physical layer are considered in the MAC layer design. The objective of the proposed cross-layer resource allocation is formulated into a constrained optimization problem, which incorporates the three layers into one integrated framework. To solve the problem effectively, a reduced-complexity elitist selection genetic algorithm (ESGA) is proposed. Numerical examples are given to demonstrate the effectiveness of the proposed algorithm, and the low computational complexity makes it very suitable for implementation in a practical system.