Amirkabir University of Technology AUT Journal of Modeling and Simulation 2588-2953 44 1 2012 03 01 Cross-layer Packet-dependant OFDM Scheduling Based on Proportional Fairness Cross-layer Packet-dependant OFDM Scheduling Based on Proportional Fairness 27 39 23 10.22060/miscj.2012.23 EN Hua Hou Corresponding Author Hua Hou is with school of Information Science and Electrical Engineering, Hebei University of Engineering, Handan , P.R.China ( Email: hh110040@gmail.com). Gen- Xuan Gen-xuan Li is with School of Information Science and Electrical Engineering, Hebei University of Engineering, Handan , P.R.China ( Email: hh110040@gmail.com ). Journal Article 2014 03 14 This paper assumes each user has more than one queue, derives a new packet-dependant proportional fairness power allocation pattern based on the sum of weight capacity and the packet’s priority in users’ queues, and proposes 4 new cross-layer packet-dependant OFDM scheduling schemes based on proportional fairness for heterogeneous classes of traffic. Scenario 1, scenario 2 and scenario 3 lead respectively artificial fish swarm algorithm, self-adaptive particle swarm optimization algorithm and cloud adaptive particle swarm optimization algorithm into sub-carrier allocation in packet-dependant proportional fairness scheduling, and use respectively new power allocation pattern, self-adaptive particle swarm optimization algorithm and population migration algorithm to allocate power. Scenario 4 uses greedy algorithm concerning fairness to allocate sub-carriers, and uses new power allocation pattern to allocate power. Simulation indicates scenario 1,scenario 2 and scenario 3 raise the system’s total rate on the basis of undertaking the fairness among users’ rates and average packet delay; scenario 4 not only meets users’ rates and average packet delay demands, but also improve the fairness among users’ rates. https://miscj.aut.ac.ir/article_23_37693cfc748049e45d87b8c7d8b9aacd.pdf