Title :
Bit loading with BER-constraint for multicarrier systems
Author :
Wyglinski, Alexander M. ; Labeau, Fabrice ; Kabal, Peter
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, Canada
fDate :
7/1/2005 12:00:00 AM
Abstract :
We present discrete adaptive bit loading algorithms for multicarrier systems with uniform (nonadaptive) power allocation operating in a frequency selective fading environment. The algorithms try to maximize the overall throughput of the system while guaranteeing that the mean bit error rate (BER) remains below a prescribed threshold. We also study the impact of imperfect subcarrier signal-to-noise ratio information on throughput performance. Results show that the proposed algorithms have approximately the same throughput and mean BER as the optimal allocation while having a significantly lower computational complexity relative to other algorithms with near-optimal allocations. Moreover, when compared with algorithms that employ approximations to water filling, the computational complexity is comparable while the overall throughput is closer to the optimum.
Keywords :
adaptive modulation; adaptive signal processing; error statistics; fading channels; wireless LAN; BER constraint; adaptive modulation; bit error rate; computational complexity; discrete adaptive bit loading algorithm; frequency selective fading channel; multicarrier system; power allocation; signal-to-noise ratio; water filling; wireless LAN; Bit error rate; Computational complexity; Constellation diagram; Fading; Filling; Frequency modulation; Radio spectrum management; Signal to noise ratio; Throughput; Wireless LAN; Adaptive modulation; frequency selective channel; multicarrier modulation; wireless LAN;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2005.850313