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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。
The M-LWDF algorithm effectively improves the system performance, but also has some problems such as large control overhead and large amount of calculation, affected by the accuracy of the channel state information, and the fixed transmission power may cause transmission capacity and power waste. In this paper, a cross-layer power control mechanism based on fuzzy logic (EDF + FPC) is proposed. According to the service delay information and channel state information, fuzzy inference method is adopted to adjust adaptive power, which avoids the problem of inter-layer feedback of channel state information and improves The accuracy and effectiveness of power control reduce the computational complexity. Simulation shows that EDF + FPC can effectively reduce the blocking rate of business, improve system throughput, and save power.