TY - GEN
T1 - Optimizing energy efficiency in multi-user OFDMA systems with genetic algorithm
AU - Chien, Su Fong
AU - Ting, T. O.
AU - Yang, Xin She
AU - Ting, Alvin Kee Ngoh
AU - Holtby, Derek William
PY - 2013
Y1 - 2013
N2 - Resource allocation in an OFDMA system has been an extremely challenging optimization task. Due to the nature of the problem, this optimization problem can be NP-hard. The majority of existing methods are based on Lagrangian duality, in combination with gradient-based methods. In this paper, we apply genetic algorithm to tune the power allocated to each sub-channel in an OFDMA system. This is done by applying GA in tuning the power allocated for the m th user in the nth channel (pm,n) after solving the resource allocation problem. The first part is a binary optimization problem, whereas the latter part is a continuous optimization problem. In solving the energy-efficient resource allocation problem, the objective is to minimize the transmitted power while fulfilling the transmission rate demand per user. Our simulation results showed that the GA method can obtain global solutions with speedy convergence.
AB - Resource allocation in an OFDMA system has been an extremely challenging optimization task. Due to the nature of the problem, this optimization problem can be NP-hard. The majority of existing methods are based on Lagrangian duality, in combination with gradient-based methods. In this paper, we apply genetic algorithm to tune the power allocated to each sub-channel in an OFDMA system. This is done by applying GA in tuning the power allocated for the m th user in the nth channel (pm,n) after solving the resource allocation problem. The first part is a binary optimization problem, whereas the latter part is a continuous optimization problem. In solving the energy-efficient resource allocation problem, the objective is to minimize the transmitted power while fulfilling the transmission rate demand per user. Our simulation results showed that the GA method can obtain global solutions with speedy convergence.
KW - OFDMA
KW - QoS
KW - multi-user system
KW - optimization
KW - resource allocation
UR - http://www.scopus.com/inward/record.url?scp=84891949674&partnerID=8YFLogxK
U2 - 10.1109/ICACCI.2013.6637370
DO - 10.1109/ICACCI.2013.6637370
M3 - Conference Proceeding
AN - SCOPUS:84891949674
SN - 9781467362153
T3 - Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013
SP - 1330
EP - 1334
BT - Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013
T2 - 2013 2nd International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013
Y2 - 22 August 2013 through 25 August 2013
ER -
