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Efficiency-aware and fairness-aware joint-layer optimization for downlink data scheduling in OFDM |
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| Authors: | Guo KunQi Sun LiXin Wang Ping Jia ShiLou |
| Affiliation: | (1) Shanghai Research Center for Wireless Communications, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China;(2) School of Measurement & Control Technology and Communication Engineering, Harbin University of Science and Technology, Harbin, 150080, China;(3) Communication Research Center, Harbin Institute of Technology, Harbin, 150001, China |
| Abstract: | Efficiency and fairness are two crucial issues to be considered for resource alloca- tion in multi-user wireless networks.Based on the joint optimization of physical layer and data link layer,an optimization model is derived to achieve efficient and fair downlink data scheduling in multi-user OFDM wireless networks by maximizing the total utility function with respect to the average waiting time of user queue.A dynamic sub-carrier allocation algorithm(DSAA)based on the optimization model is proposed in order to obtain the maximization of the total scheduling utility.Effi- ciency is improved by combining DSAA with time scale interference predictor(TSIP) which at large time scales predict ON/OFF period of user data with temporal corre- lation structure across multiple time scales in multi-user interference environment. Simulation results verify the efficiency and fairness of the scheme. |
| Keywords: | OFDM efficiency and fairness joint-layer scheduling utility function |
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