DocumentCode :
166912
Title :
A low-complexity resource allocation scheme using AMC for MIMO-OFDMA systems
Author :
Ben Hassen, Wafa ; Afif, M. ; Tabbane, Sami
Author_Institution :
Mediatron Lab., Carthage Univ., Tunis, Tunisia
fYear :
2014
fDate :
4-7 May 2014
Firstpage :
160
Lastpage :
165
Abstract :
In this paper, we address the resource allocation problem in down-link transmission of MIMO-OFDMA systems. We aim at maximizing the total system capacity. The optimization problem is divided into sub-optimal ones in order to reduce the computing complexity. Firstly, a Physical Resource Block (PRB) allocation algorithm based on a recursive function is developed. Secondly, a power allocation procedure is performed. As all PRBs allocated to the same user must use the same Modulation and Coding Scheme (MCS) according to LTE specification, the power optimization sub-problem includes three steps: power allocation among PRBs (PAaPRB), power allocation among antennas (PAaA) and power allocation among users (PAaU). Simulation results show that our proposed method maximizes the total system capacity with a low-complexity in the case of loaded systems compared to well-known algorithms.
Keywords :
Long Term Evolution; MIMO communication; OFDM modulation; antennas; frequency division multiple access; optimisation; radio links; resource allocation; AMC; LTE specification; MCS; MIMO-OFDMA systems; PAaA; PAaPRB; PAaU; down-link transmission; low-complexity resource allocation scheme; modulation and coding scheme; physical resource block; power allocation among PRB; power allocation among antennas; power allocation among users; power optimization subproblem; Decision support systems; Telecommunications; AMC; ESINR; LTE; MIMO; OFDMA;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Telecommunications (ICT), 2014 21st International Conference on
Conference_Location :
Lisbon
Print_ISBN :
978-1-4799-5139-0
Type :
conf
DOI :
10.1109/ICT.2014.6845100
Filename :
6845100
Link To Document :
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