TY - GEN
T1 - A new modeling approach for utility-based resource allocation in OFDM networks
AU - Mehrjoo, Mehri
AU - Moazeni, Somayeh
AU - Shen, Xuemin
PY - 2008
Y1 - 2008
N2 - A new modeling approach is proposed for utility-based resource allocation in orthogonal frequency division multiplexing (OFDM) networks with heterogeneous traffic. The spectrum and power of a base station (BS) are allocated to users, in a point to multi-point manner, to maximize the users' aggregate utility. We first model the problem of assigning sub-carriers to the users and the power allocation to the sub-carriers as a mixed integer nonlinear programming (MINLP) problem. The MINLP problem is maximizing a non-concave objective function over a non-convex feasible region that includes some integer variables. We then eliminate integer variables and propose a continuous nonlinear programming (NLP) model for the problem. The obtained model is suitable for heuristic and search algorithms. Genetic algorithm (GA) is applied to obtain the near optimal solution of the NLP model. Numerical results are presented to illustrate the convergence of the GA and utilization performance of the network.
AB - A new modeling approach is proposed for utility-based resource allocation in orthogonal frequency division multiplexing (OFDM) networks with heterogeneous traffic. The spectrum and power of a base station (BS) are allocated to users, in a point to multi-point manner, to maximize the users' aggregate utility. We first model the problem of assigning sub-carriers to the users and the power allocation to the sub-carriers as a mixed integer nonlinear programming (MINLP) problem. The MINLP problem is maximizing a non-concave objective function over a non-convex feasible region that includes some integer variables. We then eliminate integer variables and propose a continuous nonlinear programming (NLP) model for the problem. The obtained model is suitable for heuristic and search algorithms. Genetic algorithm (GA) is applied to obtain the near optimal solution of the NLP model. Numerical results are presented to illustrate the convergence of the GA and utilization performance of the network.
UR - http://www.scopus.com/inward/record.url?scp=51249107102&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51249107102&partnerID=8YFLogxK
U2 - 10.1109/ICC.2008.70
DO - 10.1109/ICC.2008.70
M3 - Conference contribution
AN - SCOPUS:51249107102
SN - 9781424420742
T3 - IEEE International Conference on Communications
SP - 337
EP - 342
BT - ICC 2008 - IEEE International Conference on Communications, Proceedings
T2 - IEEE International Conference on Communications, ICC 2008
Y2 - 19 May 2008 through 23 May 2008
ER -