Power Control in Wireless Cellular Networks
Foundations and Trends® in Networking
Crosstalk channel estimation via standardized two-port measurements
EURASIP Journal on Advances in Signal Processing
Iterative power pricing for distributed spectrum coordination in DSL
IEEE Transactions on Communications
The MIMO iterative waterfilling algorithm
IEEE Transactions on Signal Processing
Optimal spectrum management of DSL with nonstrictly convex rate region
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Conjectural equilibrium in multiuser power control games
IEEE Transactions on Signal Processing
A new perspective on multi-user power control games in interference channels
IEEE Transactions on Wireless Communications
From competition to coopetition: stackelberg equilibrium in multi-user power control games
GameNets'09 Proceedings of the First ICST international conference on Game Theory for Networks
Optimal spectrum management in multiuser interference channels
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
Dynamic allocation of subcarriers and transmit powers in an OFDMA cellular network
IEEE Transactions on Information Theory
MIMO cognitive radio: a game theoretical approach
IEEE Transactions on Signal Processing
Fair greening for DSL broadband access
ACM SIGMETRICS Performance Evaluation Review
Conjectural equilibrium in water-filling games
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Low complexity multi-user rate region maximization for frequency-selective interference channel
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Green DSL: energy-efficient DSM
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Spectrum balancing algorithms for power minimization in DSL networks
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
IEEE Transactions on Signal Processing
Distributed power allocation in multi-user multi-channel cellular relay networks
IEEE Transactions on Wireless Communications
Impact of crosstalk channel estimation on the DSM performance for DSL networks
EURASIP Journal on Advances in Signal Processing
A centralized multi-level water-filling algorithm for dynamic spectrum management
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Maximizing the sum rate in symmetric networks of interfering links
IEEE Transactions on Information Theory
Semiblind spectrum balancing for DSL
IEEE Transactions on Signal Processing
Improved dual decomposition based optimization for DSL dynamic spectrum management
IEEE Transactions on Signal Processing
Dynamic spectrum management with the competitive market model
IEEE Transactions on Signal Processing
GADIA: A greedy asynchronous distributed interference avoidance algorithm
IEEE Transactions on Information Theory
Hi-index | 35.89 |
The main performance bottleneck of modern digital subscriber line (DSL) networks is the crosstalk among different lines (i.e., users). By deploying dynamic spectrum management (DSM) techniques and reducing excess crosstalk among users, a network operator can dramatically increase the data rates and service reach of broadband access. However, current DSM algorithms suffer from either substantial suboptimality in typical deployment scenarios or prohibitively high complexity due to centralized computation. This paper develops, analyzes, and simulates a new suite of DSM algorithms for DSL interference-channel models called autonomous spectrum balancing (ASB). The ASB algorithms utilize the concept of a "reference line," which mimics a typical victim line in the interference channel. In ASB, each modem tries to minimize the harm it causes to the reference line under the constraint of achieving its own target data-rate. Since the reference line is based on the statistics of the entire network, rather than any specific knowledge of the binder a modem operates in, ASB can be implemented autonomously without the need for a centralized spectrum management center. ASB has a low complexity and simulations using a realistic simulator show that it achieves large performance gains over existing autonomous algorithms, coming close to the optimal rate region in some typical scenarios. Sufficient conditions for convergence of ASB are also proved.