Bit and power allocation in constrained multicarrier systems: the single-user case
EURASIP Journal on Advances in Signal Processing
Multicarrier communication in presence of biased-Gaussian noise sources
Signal Processing
A low-complexity bandwidth allocation algorithm for frequency-selective multiuser OFDM systems
Computer Communications
Downstream power backoff in CO/RT-deployed xDSL networks
IEEE Transactions on Communications
Robustness maximization of parallel multichannel systems
Journal of Electrical and Computer Engineering - Special issue on Resource Allocation in Communications and Computing
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We develop solutions for the loading of digital subscriber loop (DSL) multicarrier (MC) systems that present constraints both on overall available energy and maximum energy per carrier. In the emerging G.DMT-based systems planned for high-throughput multimedia applications, the constraint on the peak-energy arises from spectral compatibility issues. However, until today, optimal solutions for loading peak-energy constrained MC systems do not seem explicitly developed in the literature. Hence, starting from suitable applications of the Kuhn-Tucker conditions, we present the analytical relationships characterizing the optimal solution of the peak-energy-limited loading for the general case of concave "rate-functions", and then, we apply them in the context of the so-called "gap analysis". Thus, a low-complexity iterative algorithm implementing this solution is also developed, and its performance is numerically tested on several ANSI-standard asymmetric DSL (ADSL)-type loops impaired by crosstalk. Furthermore, a version of the presented loading algorithm that guarantees integer bit rates with low computational effort is also presented, and its performance is tested. The carried-out performance comparisons allow us to evaluate the throughput loss induced by peak-energy constraints in emerging ADSL-like services