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在非连续载波聚合(高频+低频)场景下,载波衰减特性不同,聚合的载波有不同的覆盖范围,使得不同用户可调度的载波数量不同,若使用传统比例公平(PF)算法会导致小区不同位置用户资源配置的不公平性。本文提出了一种分组权重PF调度算法(GWPF),根据用户可调度的载波数量,将用户和载波分组,并引入加权因子对原比例公平算法进行加权处理,从而提高用户公平性。仿真结果表明GWPF较PF算法有着更好的用户公平性和边缘小区吞吐量。
In the case of discontinuous carrier aggregation (high frequency + low frequency), the carrier attenuation characteristics are different, and the aggregated carriers have different coverage areas, so that the number of carriers that can be scheduled by different users is different. If the traditional proportional fair (PF) algorithm is used, Unfairness of user resource allocation in different locations. This paper proposes a Packet Weighting (PF) scheduling algorithm (GWPF), which divides users and carriers into groups according to the number of carriers that can be scheduled by users. Weighing factors are used to weight the original proportional fairness algorithm to improve user fairness. Simulation results show that GWPF has better user fairness and edge cell throughput than PF algorithm.