Abstract: Resources Allocation (RA) in Orthogonal Frequency Division Multiple Access (OFDMA) Systems has been widely studied in recent literature with the aim of finding an acceptable tradeoff between maximizing system utilization (capacity maximization, power minimization, efficient subcarrier utilization, etc.) while maintaining a degree of fairness between users. Weighted Fair Queuing (WFQ) and Token Leaky Bucket (TLB) algorithms are jointly used in packet switched computer networks for traffic shaping and policing of data transmission while guaranteeing a Quality of Service (QoS) level. In this study, researchers propose a new resources allocation scheme based on WFQ and TLB algorithms for OFDMA Systems by allocating power and subcarrier resources for users based on weighted queuing and keeping in mind LTE as a future wireless communication network comparison example. Simulation results show the achievable capacity peaks with the corresponding fairness measure for soft and hard admission cases on different fading channel models: Random, Rayleigh and Rician Channel.
Mohamed Khedr and Ahmad Abderrassoul, 2013. Capacity Maximization in Wireless BroadBand OFDMA Networks Using Joint Weighted-Fair Queuing Token Leaky Bucket Algorithms. Research Journal of Applied Sciences, 8: 167-180.