Title :
Optimal chunk-based resource allocation for OFDMA systems with multiple BER requirements
Author :
Tianzhou He ; Xin Wang ; Wei Ni
Author_Institution :
Dept. of Commun. Sci. & Eng., Fudan Univ., Shanghai, China
Abstract :
We investigate the chunk-based resource allocation for OFDMA downlink, where data streams contain packets with diverse bit-error-rate (BER) requirements. Supposing adaptive transmissions based on a number of discrete modulation and coding modes, we derive the optimal scheme that maximizes the weighted sum of average user rates under the multiple BER and total power constraints. With the relevant optimization problem cast as an integer linear program, we show that the optimal strategy can be obtained through Lagrange dual-based gradient iterations with fast convergence and low computational complexity per iteration. Furthermore, a novel on-line algorithm is developed to approach the optimal strategy without knowledge of intended wireless channels a priori.
Keywords :
OFDM modulation; channel allocation; channel coding; computational complexity; error statistics; frequency division multiple access; gradient methods; integer programming; linear programming; radio links; resource allocation; wireless channels; Lagrange dual-based gradient iterations; OFDMA downlink; OFDMA systems; adaptive transmissions; average user rates; bit error rate; computational complexity; data streams; discrete coding modes; discrete modulation; integer linear program; multiple BER requirements; online algorithm; optimal chunk-based resource allocation; optimal strategy; optimization problem; total power constraints; weighted sum maximization; wireless channels; Bit error rate; Downlink; Encoding; Fading; Modulation; Resource management; Wireless communication; Chunk-based resource allocation; Lagrange dual approach; OFDMA; stochastic optimization;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6638567