Title :
The Subchannel-Allocation for OFDMA Relaying Downlink Systems with Total Power Constraint
Author :
Kwak, Ryoulhee ; Cioffi, John M.
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., Stanford, CA
Abstract :
This paper considers the subchannel-allocation problem to maximize the sum-rate in orthogonal frequency- division multiple-access (OFDMA) regenerative relaying downlink systems with a total power constraint. Based on the Lagrange dual decomposition and the optimal condition of the problem, this paper proposes three heuristic algorithms: an extended modified inverse subchannel signal-to-noise ratio algorithm, a bit accumulation algorithm, and a bit ratio algorithm. Simulation results show that relaying systems with proposed algorithms outperform optimally resource-allocated OFDMA systems without relay stations by almost 100% ~ 270% depending on the system power, which confirms that subchannel-allocation is a key factor in obtaining a huge performance gain.
Keywords :
OFDM modulation; channel allocation; frequency division multiple access; resource allocation; Lagrange dual decomposition; OFDMA relaying downlink systems; bit accumulation algorithm; inverse subchannel signal-to-noise ratio algorithm; orthogonal frequency- division multiple-access; regenerative relaying downlink systems; relay stations; resource-allocation; subchannel-allocation; total power constraint; Downlink; Heuristic algorithms; Lagrangian functions; OFDM; Performance gain; Power system relaying; Relays; Resource management; Signal to noise ratio; System performance;
Conference_Titel :
Vehicular Technology Conference, 2008. VTC 2008-Fall. IEEE 68th
Conference_Location :
Calgary, BC
Print_ISBN :
978-1-4244-1721-6
Electronic_ISBN :
1090-3038
DOI :
10.1109/VETECF.2008.355