摘要
M-LWDF算法有效提高了系统性能,但也存在控制开销和计算量大、受信道状态信息的准确性影响等问题,同时固定的发射功率有可能造成传输容量和功率浪费。文章提出一种基于模糊逻辑的跨层功率控制机制EDF+FPC,根据业务时延信息和信道状态信息,利用模糊推理方法进行自适应功率调整,避免了信道状态信息的层间回馈问题,提高了功率控制的准确性和有效性,降低了运算复杂度。仿真表明,EDF+FPC能有效减少业务阻塞率,提高系统吞吐量,同时能节省功率使用。
M-LWDF improves system performance such as delay and throughput, but incurs much control overhead and computational complexity and suffers from the adverse effect of inaccurateness of channel state. Meanwhile, the effectiveness and efficiency of transmission capacity and power may deteriorate when transmitting power is fixed. A cross layer power control scheme EDF + FPC based on fuzzy logic is proposed, in which the fuzzy inference is adopted to adjust adaptively the transmission power according to traffic delay and wireless channel condition. EDF + FPC eliminates the feedback of channel condition from underline physical layer to MAC layer, improves the accurateness and efficiency of power control, and enjoys little computational complexity. As shown in simulation, performance improvement in terms of throughput and traffic block rate is achieved in EDF + FPC algorithm, and certain transmitting power is saved as well.
出处
《信息工程大学学报》
2008年第4期385-389,共5页
Journal of Information Engineering University
基金
国家自然科学基金资助项目(60872043)
关键词
队列调度
功率控制
服务质量
模糊逻辑
queue scheduling
power control
quality of service (QoS)
fuzzy logic