TY  - JOUR
T1  - Capacity Maximization in Wireless BroadBand OFDMA Networks Using Joint Weighted-Fair Queuing Token Leaky Bucket Algorithms
AU - Khedr, Mohamed AU - Abderrassoul, Ahmad 
JO  - Research Journal of Applied Sciences
VL  - 8
IS  - 3
SP  - 167
EP  - 180
PY  - 2013
DA  - 2001/08/19
SN  - 1815-932x
DO  - rjasci.2013.167.180
UR  - https://makhillpublications.co/view-article.php?doi=rjasci.2013.167.180
KW  - OFDMA
KW  -resources allocation
KW  -scheduling
KW  -weighted fair queuing
KW  -token leaky bucket
KW  -capacity maximization
AB  - 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.
ER  -