Cross-layer Packet Dependent OFDM scheduling based on proportional fairness

This paper assumes each user has more than one queue, derives a new packet dependent proportional fairness power allocation pattern based on the sum of weight capacity and the packet’s priority in users’ queues, and proposes 4 new schemes of cross-layer packet dependent OFDM scheduling for heterogeneous classes of traffic based on proportional fairness. 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 dependent 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 the demands of users’ rates and average packet delay, but also improves the fairness among users’ rates. Key-words: Multi-user OFDM; Scheduling; Proportional fairness; Swarm intelligence algorithm; Artificial fish swarm algorithm; Particle swarm algorithm; Population migration algorithm