Competitive scheduling in wireless collision channels with correlated channel state

We consider a wireless collision channel, shared by a finite number of mobile users who transmit to a common base station. Each user wishes to optimize its individual network utility that incorporates a natural tradeoff between throughput and power. The channel quality of every user is affected by g...

Full description

Bibliographic Details
Main Authors: Parrilo, Pablo A. (Contributor), Candogan, Utku Ozan (Contributor), Menache, Ishai (Contributor), Ozdaglar, Asuman E. (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2010-10-07T15:48:55Z.
Subjects:
Online Access:Get fulltext
LEADER 02193 am a22002773u 4500
001 58939
042 |a dc 
100 1 0 |a Parrilo, Pablo A.  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science  |e contributor 
100 1 0 |a Massachusetts Institute of Technology. Laboratory for Information and Decision Systems  |e contributor 
100 1 0 |a Parrilo, Pablo A.  |e contributor 
100 1 0 |a Parrilo, Pablo A.  |e contributor 
100 1 0 |a Candogan, Utku Ozan  |e contributor 
100 1 0 |a Menache, Ishai  |e contributor 
100 1 0 |a Ozdaglar, Asuman E.  |e contributor 
700 1 0 |a Candogan, Utku Ozan  |e author 
700 1 0 |a Menache, Ishai  |e author 
700 1 0 |a Ozdaglar, Asuman E.  |e author 
245 0 0 |a Competitive scheduling in wireless collision channels with correlated channel state 
260 |b Institute of Electrical and Electronics Engineers,   |c 2010-10-07T15:48:55Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/58939 
520 |a We consider a wireless collision channel, shared by a finite number of mobile users who transmit to a common base station. Each user wishes to optimize its individual network utility that incorporates a natural tradeoff between throughput and power. The channel quality of every user is affected by global and time-varying conditions at the base station, which are manifested to all users in the form of a common channel state. Assuming that all users employ stationary, state-dependent transmission strategies, we investigate the properties of the Nash equilibrium of the resulting game between users. While the equilibrium performance can be arbitrarily bad (in terms of aggregate utility), we bound the efficiency loss at the best equilibrium as a function of a technology-related parameter. Under further assumptions, we show that sequential best-response dynamics converge to an equilibrium point in finite time, and discuss how to exploit this property for better network usage. 
520 |a United States. Defense Advanced Research Projects Agency (ITMANET program) 
546 |a en_US 
655 7 |a Article 
773 |t International Conference on Game Theory for Networks, 2009. GameNets '09