Efficiency-aware and fairness-aware joint-layer optimization for downlink data scheduling in OFDM

Abstract

Efficiency and fairness are two crucial issues to be considered for resource allocation 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. Efficiency 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 correlation structure across multiple time scales in multi-user interference environment. Simulation results verify the efficiency and fairness of the scheme.

An improved dynamic user equipment power saving mechanism for LTE system and performance analysis

“…Apparently, it will result in unfavorable packet delay, which may degrade the QoS of delay sensitive services [12]. Moreover, the length of the buffer is finite in reality, which will induce packet loss in case of buffer overflow.…”