The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Distributed multiuser power control for digital subscriber lines
Abstract
This paper considers the multiuser power control problem in a frequency-selective interference channel. The interference channel is modeled as a noncooperative game, and the existence and uniqueness of a Nash equilibrium are established for a two-player version of the game. An iterative water-filling algorithm is proposed to efficiently reach the Nash equilibrium. The iterative water-filling algorithm can be implemented distributively without the need for centralized control. It implicitly takes into account the loop transfer functions and cross couplings, and it reaches a competitively optimal power allocation by offering an opportunity for loops to negotiate the best use of power and frequency with each other. When applied to the upstream power backoff problem in very-high bit-rate digital subscriber lines and the downstream spectral compatibility problem in asymmetric digital subscriber lines, the new power control algorithm is found to give a significant performance improvement when compared with existing methods.
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Cites
A framework for uplink power control in cellular radio systems
Yates, R. D. (1995) · IEEE Journal on Selected Areas in Communications · doi:10.1109/49.414651 · Cited by 2,436
A simple distributed autonomous power control algorithm and its convergence
Foschini, G. J., & Miljanic, Z. (1993) · IEEE Transactions on Vehicular Technology · doi:10.1109/25.260747 · Cited by 1,723
A new achievable rate region for the interference channel
Han, T., & Kobayashi, K. (1981) · IEEE Transactions on Information Theory · doi:10.1109/tit.1981.1056307 · Cited by 1,588
Carleial, A. (1978) · IEEE Transactions on Information Theory · doi:10.1109/tit.1978.1055812 · Cited by 694
The capacity of the Gaussian interference channel under strong interference (Corresp.)
Sato, H. (1981) · IEEE Transactions on Information Theory · doi:10.1109/tit.1981.1056416 · Cited by 623
Hanly, S. V. (1995) · IEEE Journal on Selected Areas in Communications · doi:10.1109/49.414650 · Cited by 454
Integrated power control and base station assignment
Yates, R. D., & Huang, C.-Y. (1995) · IEEE Transactions on Vehicular Technology · doi:10.1109/25.406632 · Cited by 370
Non-cooperative uplink power control in cellular radio systems
Ji, H., & Huang, C.-Y. (1998) · Wireless Networks · doi:10.1023/a:1019108223561 · Cited by 222
Cited by
Learning to Optimize: Training Deep Neural Networks for Interference Management
Sun, H., Chen, X., Shi, Q., Hong, M., Fu, X., & Sidiropoulos, N. D. (2018) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2018.2866382 · Cited by 874
Convex Optimization in Signal Processing and Communications
(2009) · Cambridge University Press eBooks · doi:10.1017/cbo9780511804458 · Cited by 554
Dynamic Resource Allocation in Cognitive Radio Networks
Zhang, R., Liang, Y.-C., & Cui, S. (2010) · IEEE Signal Processing Magazine · doi:10.1109/msp.2010.936022 · Cited by 358
Learning to optimize: Training deep neural networks for wireless resource management
Sun, H., Chen, X., Shi, Q., Hong, M., Fu, X., & Sidiropoulos, N. D. (2017) · 2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) · doi:10.1109/spawc.2017.8227766 · Cited by 308
Optimized signaling for mimo interference systems with feedback
Ye, S., & Blum, R. S. (2003) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2003.818339 · Cited by 323
Metadata
- Authors
- Yu, W., Ginis, G., & Cioffi, J. M.
- Venue
- IEEE Journal on Selected Areas in Communications
- Published
- 2002-06
- Volume
- 20
- Issue
- 5
- Pages
- 1105-1115
- ISSN
- 0733-8716 (ISSN-L)
- OpenAlex
- W2124409123
- Cited by
- 855
- References
- 8
- FWCI
- 15.77
- Type
- journal article
- Language
- en
- Open access
- closed
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