Robustness maximization of parallel multichannel systems

Details Robustness maximization of parallel multichannel systems Robustness maximization of parallel multichannel systems

2010-04-29

arxiv.org/abs/1004.5274v1

Computer Science

Information Theory

27 pages, 8 figures, submitted to IEEE Trans. Inform. Theory

Scientific paper

Bit error rate (BER) minimization and SNR-gap maximization, two robustness optimization problems, are solved, under average power and bit-rate constraints, according to the waterfilling policy. Under peak-power constraint the solutions differ and this paper gives bit-loading solutions of both robustness optimization problems over independent parallel channels. The study is based on analytical approach with generalized Lagrangian relaxation tool and on greedy-type algorithm approach. Tight BER expressions are used for square and rectangular quadrature amplitude modulations. Integer bit solution of analytical continuous bit-rates is performed with a new generalized secant method. The asymptotic convergence of both robustness optimizations is proved for both analytical and algorithmic approaches. We also prove that, in conventional margin maximization problem, the equivalence between SNR-gap maximization and power minimization does not hold with peak-power limitation. Based on a defined dissimilarity measure, bit-loading solutions are compared over power line communication channel for multicarrier systems. Simulation results confirm the asymptotic convergence of both allocation policies. In non asymptotic regime the allocation policies can be interchanged depending on the robustness measure and the operating point of the communication system. The low computational effort of the suboptimal solution based on analytical approach leads to a good trade-off between performance and complexity.

Affiliated with

Also associated with

No associations

Rating

Robustness maximization of parallel multichannel systems does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Robustness maximization of parallel multichannel systems, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Robustness maximization of parallel multichannel systems will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-285075