Novel efficient bit-loading algorithms for peak-energy-limited ADSL-type multicarrier systems

@article{citeulike:1899102, abstract = {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}, author = {Baccarelli, E. and Fasano, A. and Biagi, M. }, booktitle = {Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on]}, citeulike-article-id = {1899102}, journal = {Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on]}, keywords = {algorithm, bit-loading, multicarrier, ofdm}, number = {5}, pages = {1237--1247}, posted-at = {2007-11-11 16:36:53}, priority = {2}, title = {Novel efficient bit-loading algorithms for peak-energy-limited ADSL-type multicarrier systems}, url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=995090}, volume = {50}, year = {2002} }

TY - JOUR ID - citeulike:1899102 L3 - citeulike-article-id:1899102 TI - Novel efficient bit-loading algorithms for peak-energy-limited ADSL-type multicarrier systems T2 - Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on] JF - Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on] VL - 50 IS - 5 SP - 1237 EP - 1247 N2 - 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 KW - algorithm KW - bit-loading KW - multicarrier KW - ofdm AU - Baccarelli, E AU - Fasano, A AU - Biagi, M PY - 2002/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=995090 ER -