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DSL Spectrum Management

 

 

With more than 160 million users worldwide, digital subscriber line (DSL) technology is one of the leading choices for wired broadband access networks. DSL provides high-speed digital transmissions over traditional telephone lines based on multi-carrier modulations. We first tackle the spectrum management problem at the multi-carrier interference-limited physical layer, where multiple users cooperate with and compete against each other for the limited resource. The optimization problem is difficult because it is non-convex, globally coupled (across both users and tones), and has a large number of variables. We use the idea of “static pricing” to decouple the users, use “dynamic pricing” to decouple the tones for each user, and propose an autonomous spectrum balancing algorithm that finds a near-optimal solution with low complexity. This overcomes the performance and complexity bottleneck of all related algorithms since 2000. We further design aggressive statistical multiplexing algorithms that fully exploit the bustiness of the heterogeneous application traffic over DSL networks, and achieve the desired balance between the number of application flows supported and the Quality of Service attainable. 

 

 
 
Project Team
NCEL Member: Jianwei Huang
Collaborators: Raphael Cendrillon (Huawei), Mung Chiang (Princeton University), Chee Wei Tan (City University of Hong Kong), Dahai Xu (AT&T Labs), and Yung Yi (KAIST) 

 

 
 
Publications
2007
Chiang, Mung, et al. FAST Copper For Broadband Access (invited). IEEE International Conference on Acoustics, Speech and Signal Processing., 2007. Download: ICASSP07.pdf (177.45 KB)
Huang, Jianwei, et al. Statistical Multiplexing over DSL Networks. IEEE INFOCOM., 2007. Download: INFOCOM07[1].pdf (293.73 KB)
Cendrillon, Raphael, et al. "Autonomous Spectrum Balancing for Digital Subscriber Lines." IEEE Transactions on Signal Processing. 55 (2007). Download: ASB_journal[1].pdf (1.4 MB)
2006
Chiang, Mung, et al. FAST Copper For Broadband Access (invited). Allerton Conference on Communication, Control, and Computing. Monticello, IL, USA, 2006. Abstract  Download: allerton06.pdf (322.17 KB)
Huang, Jianwei, et al. Autonomous Spectrum Balancing (ASB) for Frequency Selective Interference Channels. IEEE International Symposium on Information Theory. Seattle, WA, USA, 2006. Download: ISIT06_final[1].pdf (230.45 KB)
Huang, Jianwei, et al. Autonomous Spectrum Balancing (ASB) for Frequency Selective Interference Channels. IEEE International Symposium on Information Theory. Seattle, Washington, 2006. Download: ISIT06_final[1].pdf (230.45 KB)

 

 



story | by Dr. Radut