Search

Your search keyword '"Chiang, Mung"' showing total 31 results
Start Over Author "Chiang, Mung" Publisher acm
31 results on '"Chiang, Mung"'

5. Not All Pixels are Born Equal

Author

Sehwag, Vikash, primary, Sitawarin, Chawin, additional, Bhagoji, Arjun Nitin, additional, Mosenia, Arsalan, additional, Chiang, Mung, additional, and Mittal, Prateek, additional

Published
2018
Full Text
View/download PDF

10. SkyEyes

Author

Wang, Xiaoli, primary, Chowdhery, Aakanksha, additional, and Chiang, Mung, additional

Published
2016
Full Text
View/download PDF

12. How to Bid the Cloud

Author

Zheng, Liang, primary, Joe-Wong, Carlee, additional, Tan, Chee Wei, additional, Chiang, Mung, additional, and Wang, Xinyu, additional

Published
2015
Full Text
View/download PDF

13. CYRUS

Author

Chung, Jae Yoon, primary, Joe-Wong, Carlee, additional, Ha, Sangtae, additional, Hong, James Won-Ki, additional, and Chiang, Mung, additional

Published
2015
Full Text
View/download PDF

14. When the price is right

Author

Sen, Soumya, primary, Joe-Wong, Carlee, additional, Ha, Sangtae, additional, Bawa, Jasika, additional, and Chiang, Mung, additional

Published
2013
Full Text
View/download PDF

15. QAVA

Author

Chen, Jiasi, primary, Ghosh, Amitabha, additional, Magutt, Josphat, additional, and Chiang, Mung, additional

Published
2012
Full Text
View/download PDF

16. Optimization and Control of Communication Networks

Author

Chiang, Mung, Low, Steven, Chiang, Mung, and Low, Steven

Abstract

Recently, there has been a surge in research activities that utilize the power of recent developments in nonlinear optimization to tackle a wide scope of work in the analysis and design of communication systems, touching every layer of the layered network architecture, and resulting in both intellectual and practical impacts significantly beyond the earlier frameworks. These research activities are driven by both new demands in the areas of communications and networking, and new tools emerging from optimization theory. Such tools include new developments of powerful theories and highly efficient computational algorithms for nonlinear convex optimization, as well as global solution methods and relaxation techniques for nonconvex optimization. Optimization theory can be used to analyze, interpret, or design a communication system, for both forward- engineering and reverse-engineering. Over the last few years, it has been successfully applied to a wide range of communication systems, from the high speed Internet core to wireless networks, from coding and equalization to broadband access, and from information theory to network topology models. Some of the theoretical advances have also been put into practice and started making visible impacts, including new versions of TCP congestion control, power control and scheduling algorithms in wireless networks, and spectrum management in DSL broadband access networks. Under the theme of optimization and control of communication networks, this Hot Topic Session consists of five invited talks covering a wide range of issues, including protocols, pricing, resource allocation, cross layer design, traffic engineering in the Internet, optical transport networks, and wireless networks.

Published
2005

17. Network Utility Maximization with Nonconcave, Coupled, and Reliability-based Utilities

Author

Chiang, Mung, Lee, J. W., Calderbank, R., Palomar, D., Fazel, M., Chiang, Mung, Lee, J. W., Calderbank, R., Palomar, D., and Fazel, M.

Abstract

Network Utility Maximization (NUM) has significantly extended the classical network flow problem and provided an emerging framework to design resource allocation algorithms such as TCP congestion control and to understand layering as optimization decomposition. We present a summary of very recent results in the theory and applications of NUM. We show new distributed algorithms that converge to the globally optimal rate allocation for NUM problems with nonconcave utility functions representing inelastic flows, with coupled utility functions representing interference effects or hybrid social-selfish utilities, and with rate-reliability tradeoff through adaptive channel coding in the physical layer. We conclude by discussing how do different decompositions of a generalized NUM problem correspond to different layering architectures.

Published
2005

18. MIDU

Author

Aryafar, Ehsan, primary, Khojastepour, Mohammad Amir, additional, Sundaresan, Karthikeyan, additional, Rangarajan, Sampath, additional, and Chiang, Mung, additional

Published
2012
Full Text
View/download PDF

20. TUBE

Author

Ha, Sangtae, primary, Sen, Soumya, additional, Joe-Wong, Carlee, additional, Im, Youngbin, additional, and Chiang, Mung, additional

Published
2012
Full Text
View/download PDF

25. Anytime anywhere healthcare

Author

Chiang, Mung, primary, Barrett, Mick, additional, Bonneau, Robert, additional, Dacso, Cliff, additional, Terzis, Andreas, additional, and Yu, John, additional

Published
2009
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results