Title :
An adaptive multiuser scheduling and chunk allocation algorithm for uplink SIMO SC-FDMA
Author :
Mehbodniya, Abolfazl ; Wei Peng ; Adachi, Fumiyuki
Author_Institution :
Dept. of Commun. Eng., Tohoku Univ., Sendai, Japan
Abstract :
In this paper, we address the resource allocation (RA) problem for uplink single input multiple output (SIMO) single carrier frequency division multiple access (SC-FDMA). A novel RA algorithm for joint user scheduling and resource block allocation is presented. Particularly, with the aim of improving the spectral efficiency (SE) and reducing the computational complexity, a sub-optimal power projection method based on users´ spatial correlation is employed, which chooses the users for each RB. A parametric multiple access channel (MAC) model is used for modelling the receive antenna correlation at the base station. Our simulation results show that the proposed scheme improves the the SE considerably, while keeping the complexity at an acceptable level. We also investigate the variation of different system design parameters, i.e., RB size, number of receive antenna, etc, on the SIMO SC-FDMA uplink SE, to shed insight on the role of these parameters in system SE optimization.
Keywords :
computational complexity; frequency division multiple access; multiuser channels; optimisation; receiving antennas; resource allocation; scheduling; MAC model; adaptive multiuser scheduling; base station; chunk allocation algorithm; computational complexity; joint user scheduling; parametric multiple access channel model; receive antenna correlation; resource allocation problem; resource block allocation; single carrier frequency division multiple access; single input multiple output; spectral efficiency; sub-optimal power projection; uplink SIMO SC-FDMA; users spatial correlation; Correlation; Frequency-domain analysis; Interference; Optimization; Receiving antennas; Signal to noise ratio; Uplink; Resource Allocation; SC-FDMA; SIMO; Spatial Correlation; Spectral Efficiency; Uplink; User Scheduling;
Conference_Titel :
Communications (ICC), 2014 IEEE International Conference on
Conference_Location :
Sydney, NSW
DOI :
10.1109/ICC.2014.6883758