The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMMUNICATIONS
Transactions ID Number: 53-690
Full Name: Hua Hou
Position: Associate Professor
Age: ON
Sex: Female
Address: School of Information Science and Electrical Engineering,Hebei University of Engineering,Handan
Country: CHINA
Tel: +8615831013729
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E-mail address: hh110040@gmail.com
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Title of the Paper: Cross-layer Packet-dependant OFDM scheduling based on proportional fairness
Authors as they appear in the Paper: HUA HOU GEN-XUAN LI
Email addresses of all the authors: hh110040@gmail.com
Number of paper pages: 13
Abstract: 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 scen!
ario 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.
Keywords: Multi-user OFDM; Scheduling; Proportional fairness; Swarm intelligence algorithm; Artificial fish swarm algorithm; Particle swarm algorithm; Population migration algorithm
EXTENSION of the file: .doc
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