Title :
Frequency and Power Allocation for Energy Efficient OFDMA Systems with Proportional Rate Constraints
Author :
Illanko, K. ; Naeem, M. ; Anpalagan, Alagan ; Androutsos, D.
Author_Institution :
Ryerson Univ., Toronto, ON, Canada
Abstract :
A two-step solution to the problem of finding the subchannel and power allocation that maximizes the energy efficiency of the OFDMA based transmissions from a base station, under proportional rate and total power constraints, is presented. A low complexity subchannel assignment is followed by an optimal power allocation that is obtained via a single non-linear equation. The proposed algorithm has the same computational complexity as the best algorithm in the literature for the same problem but with minimum rate constraints. While the convergence of the algorithm in the literature is not guaranteed, the algorithm in this paper is proven to converge. Simulation results show that the proposed algorithm out-performs the one in the literature when the rate constraints are ignored.
Keywords :
OFDM modulation; channel allocation; computational complexity; frequency allocation; frequency division multiple access; nonlinear equations; computational complexity; energy efficient OFDMA systems; frequency allocation; low complexity subchannel assignment; minimum rate constraints; optimal power allocation; proportional rate constraints; single nonlinear equation; subchannel allocation; Channel allocation; Complexity theory; Equations; Mathematical model; Optimization; Protocols; Resource management; OFDMA; energy efficiency;
Journal_Title :
Wireless Communications Letters, IEEE
DOI :
10.1109/WCL.2014.032814.130888