Dynamic programming: deterministic and stochastic models
Dynamic programming: deterministic and stochastic models
DSL Advances
Discrete bit loading for multicarrier modulation systems
Discrete bit loading for multicarrier modulation systems
Autonomous Spectrum Balancing for Digital Subscriber Lines
IEEE Transactions on Signal Processing
Distributed multiuser power control for digital subscriber lines
IEEE Journal on Selected Areas in Communications
A centralized multi-level water-filling algorithm for dynamic spectrum management
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Improved dual decomposition based optimization for DSL dynamic spectrum management
IEEE Transactions on Signal Processing
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This paper presents a low-complexity discrete bit-loading algorithm for multi-user multicarrier systems with application to spectrum balancing in digital-subscriber-lines. The algorithm can be implemented in a distributed manner using limited information that is sent to modems by a spectrum management center (SMC). The SMC classifies users in the network as strong or weak, based on their channel and noise conditions. Weak users execute a discrete bit-loading algorithm approximating water-filling, such as the Levin-Campello (LC) algorithm, while strong users use a rate-penalty table along with a modified LC algorithm to limit their interference to weak users. Simulation results show that the proposed algorithm can achieve near-optimal performance. In addition, polite bit and gain adaptation algorithms are developed using the structure of the proposed bit-loading algorithm, which enables easy and fast adaptation to channel and noise variations.