Game Theoretic Energy Efficiency Design in MC-CDMA Cooperative Networks

The energy efficiency (EE) maximization on the uplink of multicarrier code division multiple access (MC-CDMA) cooperative wireless networks is a NP-hard optimization problem of great interest for future networks systems. This paper presents two different noncoalitional game theoretic approaches to solve in a distributed fashion the EE maximization problem that arises in MC-CDMA wireless cooperative networks considering receiver multiuser filter design. A study over the quasi-concavity of the utility function is presented while numerical results and a complexity analysis are offered to corroborate the mathematical model and observe the tradeoff between EE, spectral efficiency, and average transmission power.

[1]  Francisco Facchinei,et al.  Distributed Power Allocation With Rate Constraints in Gaussian Parallel Interference Channels , 2007, IEEE Transactions on Information Theory.

[2]  Mohamed-Slim Alouini,et al.  Digital Communication over Fading Channels: Simon/Digital Communications 2e , 2004 .

[3]  Klaudia Kaiser,et al.  Wireless Communication Systems From Rf Subsystems To 4g Enabling Technologies , 2016 .

[4]  Philip J. Reny,et al.  Non-Cooperative Games : Equilibrium Existence , 2005 .

[5]  Virgilio Rodriguez,et al.  An analytical foundation for resource management in wireless communication , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[6]  I. Glicksberg A FURTHER GENERALIZATION OF THE KAKUTANI FIXED POINT THEOREM, WITH APPLICATION TO NASH EQUILIBRIUM POINTS , 1952 .

[7]  Eduard A. Jorswieck,et al.  Energy-Efficient Power Control and Receiver Design in Relay-Assisted DS/CDMA Wireless Networks via Game Theory , 2011, IEEE Communications Letters.

[8]  Jordi Pérez-Romero,et al.  Energy and spectral efficiencies trade‐off with filter optimisation in multiple access interference‐aware networks , 2015, Trans. Emerg. Telecommun. Technol..

[9]  Taufik Abrão,et al.  Power Allocation in Multirate DS/CDMA Systems Based on Verhulst Equilibrium , 2010, 2010 IEEE International Conference on Communications.

[10]  Wei Yu,et al.  Iterative water-filling for Gaussian vector multiple-access channels , 2001, IEEE Transactions on Information Theory.

[11]  Giulio Colavolpe,et al.  Potential Games for Energy-Efficient Power Control and Subcarrier Allocation in Uplink Multicell OFDMA Systems , 2012, IEEE Journal of Selected Topics in Signal Processing.

[12]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[13]  Min Sheng,et al.  Energy Efficiency and Spectral Efficiency Tradeoff in Interference-Limited Wireless Networks , 2013, IEEE Communications Letters.

[14]  Francisco Facchinei,et al.  Convex Optimization, Game Theory, and Variational Inequality Theory , 2010, IEEE Signal Processing Magazine.

[15]  John M. Cioffi,et al.  Optimal water-filling algorithms for a Gaussian multiaccess channel with intersymbol interference , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[16]  Daniel Pérez Palomar,et al.  Practical algorithms for a family of waterfilling solutions , 2005, IEEE Transactions on Signal Processing.

[17]  Lajos Hanzo,et al.  Achieving Maximum Energy-Efficiency in Multi-Relay OFDMA Cellular Networks: A Fractional Programming Approach , 2013, IEEE Transactions on Communications.

[18]  David J. Goodman,et al.  Power control for wireless data , 1999, 1999 IEEE International Workshop on Mobile Multimedia Communications (MoMuC'99) (Cat. No.99EX384).

[19]  Siegfried Schaible,et al.  3. Generalized Concavity , 2010 .

[20]  Yan Chen,et al.  Spectrum efficiency and energy efficiency tradeoff for heterogeneous wireless networks , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

[21]  Taufik Abrão,et al.  Distributed power control algorithm for multiple access systems based on Verhulst model , 2011 .

[22]  Tami Tamir,et al.  Convergence of best-response dynamics in games with conflicting congestion effects , 2015, Inf. Process. Lett..

[23]  Drew Fudenberg,et al.  Game theory (3. pr.) , 1991 .

[24]  Khaled Ben Letaief,et al.  Maximizing energy efficiency in wireless networks with a minimum average throughput requirement , 2012, 2012 IEEE Wireless Communications and Networking Conference (WCNC).

[25]  Geoffrey Ye Li,et al.  Energy-efficient link adaptation in frequency-selective channels , 2010, IEEE Transactions on Communications.

[26]  Doudou Samb,et al.  Performance analysis for energy efficiency in wireless cooperative relay networks , 2012, 2012 IEEE 14th International Conference on Communication Technology.