Name
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. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/TWC.2005.850313 | IEEE Transactions on Wireless Communications |
Keywords | Field | DocType |
near-optimal allocation,overall throughput,discrete adaptive bit loading,imperfect subcarrier signal-to-noise ratio,frequency selective fading environment,power allocation operating,mean bit error rate,multicarrier system,throughput performance,computational complexity,optimal allocation,frequency modulation,constellation diagram,indexing terms,signal to noise ratio,throughput,bit error rate,fading,adaptive signal processing,adaptive modulation | Link adaptation,Subcarrier,Code rate,Fading,Signal-to-noise ratio,Real-time computing,Throughput,Mathematics,Bit error rate,Computational complexity theory | Journal |
Volume | Issue | ISSN |
4 | 4 | 1536-1276 |
Citations | PageRank | References |
44 | 3.25 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexander M. Wyglinski | 1 | 64 | 5.46 |
| F. Labeau | 2 | 121 | 9.79 |
| P. Kabal | 3 | 374 | 47.49 |