无线通信系统中自适应调制算法的研究

摘要

In view of the limited spectrum resource in wireless communication, based on the theorem of adaptive modulation, the throughput of system is optimized under the conditions of specified power and average BER( bit error rate) by applying the algorithms of Simulated Annealing (SA) and Ant Colony Optimization(ACO), respectively. The analysis of simulation results shows that the proposed system is able to adjust its switching modes to balance the communication reliability and efficiency according to different channel status. The behaviors of the two algorithms are compared, and the comparison to other algorithms are conducted as well.%为了改善无线通信中频谱资源紧张的局面,基于自适应调制技术的基本原理,分别采用模拟退火算法(SA)和蚁群算法(ACO),在恒定功率以及平均误比特率受限的情况下对系统的吞吐量进行优化.对仿真结果进行分析,说明系统能根据不同的信道状态,自适应地调整其切换模式,使实际通信的可靠性与有效性同时优化.另外,结合仿真结果,比较这两种算法在自适应调制模式切换方面的特点,并与其它智能算法进行了比较.