Linköping University Post Print Game Theory and the Flat-Fading Gaussian Interference Channel: Analyzing Resource Conflicts in Wireless Networks

[1]  G. Rabow,et al.  The social implications of nonzero-sum games , 1988, IEEE Technology and Society Magazine.

[2]  Erik G. Larsson,et al.  Complete Characterization of the Pareto Boundary for the MISO Interference Channel , 2008, IEEE Transactions on Signal Processing.

[3]  Hans Peters,et al.  Axiomatic bargaining game theory , 1992, Theory and decision library C.

[4]  Zhu Han,et al.  Coalitional game theory for communication networks , 2009, IEEE Signal Processing Magazine.

[5]  T. Başar,et al.  Dynamic Noncooperative Game Theory , 1982 .

[6]  Allen B. MacKenzie,et al.  Using game theory to analyze wireless ad hoc networks , 2005, IEEE Communications Surveys & Tutorials.

[7]  G. David Forney,et al.  Modulation and Coding for Linear Gaussian Channels , 1998, IEEE Trans. Inf. Theory.

[8]  Zhen Yang,et al.  Spectrum sharing based on iterated Prisoner’s Dilemma in cognitive radio , 2007, 2007 International Symposium on Intelligent Signal Processing and Communication Systems.

[9]  Ephraim Zehavi,et al.  Cooperative Game Theory and the Gaussian Interference Channel , 2007, IEEE Journal on Selected Areas in Communications.

[10]  David J. Goodman,et al.  Power control for wireless data , 2000, IEEE Wirel. Commun..

[11]  Eitan Altman,et al.  A survey on networking games in telecommunications , 2006, Comput. Oper. Res..

[12]  Erik G. Larsson,et al.  Competition Versus Cooperation on the MISO Interference Channel , 2008, IEEE Journal on Selected Areas in Communications.

[13]  David Gesbert,et al.  Spectrum sharing in multiple-antenna channels: A distributed cooperative game theoretic approach , 2008, 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications.

[14]  A. Leshem,et al.  Distributed coordination of spectrum and the prisoner~s dilemma , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[15]  Narayan B. Mandayam,et al.  Coalitions in Cooperative Wireless Networks , 2008, IEEE Journal on Selected Areas in Communications.

[16]  H. Vincent Poor,et al.  Energy-Efficient Resource Allocation in Wireless Networks , 2007, IEEE Signal Processing Magazine.

[17]  Sergio Barbarossa,et al.  Optimal Linear Precoding Strategies for Wideband Non-Cooperative Systems Based on Game Theory—Part II: Algorithms , 2007, IEEE Transactions on Signal Processing.

[18]  Edward C. van der Meulen,et al.  Some Reflections On The Interference Channel , 1994 .

[19]  Dusit Niyato,et al.  A Game-Theoretic Approach to Competitive Spectrum Sharing in Cognitive Radio Networks , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[20]  Sergio Barbarossa,et al.  Competitive Design of Multiuser MIMO Systems Based on Game Theory: A Unified View , 2008, IEEE Journal on Selected Areas in Communications.

[21]  Robert Gibbons,et al.  A primer in game theory , 1992 .

[22]  A. Lee Swindlehurst,et al.  Bargaining and Multi-User Detection in MIMO Interference Networks , 2008, 2008 Proceedings of 17th International Conference on Computer Communications and Networks.

[23]  Allen B. MacKenzie,et al.  Game Theory for Wireless Engineers , 2006, Game Theory for Wireless Engineers.

[24]  Eduard Axel Jorswieck,et al.  Asymptotically optimal transmit strategies for the multiple antenna interference channel , 2008, 2008 46th Annual Allerton Conference on Communication, Control, and Computing.

[25]  Zhu Han,et al.  Cooperative Game Theory for Distributed Spectrum Sharing , 2007, 2007 IEEE International Conference on Communications.

[26]  A. Rubinstein,et al.  A Course in Game Theory , 1995 .

[27]  Eitan Altman,et al.  Discrete Power Control: Cooperative and Non-Cooperative Optimization , 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

[28]  Abhay Parekh,et al.  Spectrum sharing for unlicensed bands , 2005, IEEE Journal on Selected Areas in Communications.

[29]  Stephen B. Wicker,et al.  Game theory in communications: motivation, explanation, and application to power control , 2001, GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270).

[30]  Sriram Vishwanath,et al.  On the capacity of vector Gaussian interference channels , 2004, Information Theory Workshop.

[31]  J. Nash THE BARGAINING PROBLEM , 1950, Classics in Game Theory.

[32]  Ariel Rubinstein,et al.  A Course in Game Theory , 1995 .

[33]  Sergio Barbarossa,et al.  Optimal Linear Precoding Strategies for Wideband Noncooperative Systems Based on Game Theory—Part I: Nash Equilibria , 2007, IEEE Transactions on Signal Processing.

[34]  John M. Cioffi,et al.  Uniform power allocation in MIMO channels: a game-theoretic approach , 2003, IEEE Transactions on Information Theory.

[35]  Christos H. Papadimitriou,et al.  Algorithms, games, and the internet , 2001, STOC '01.