Quantum Games Based Communication Protocols


Quantum games, minority, spectrum allocation, cognitive radio, spectrum sharing.

How to Cite

O.G. Zabaleta, & C.M. Arizmendi. (2017). Quantum Games Based Communication Protocols. Journal of Advances in Applied &Amp; Computational Mathematics, 4(1), 35–39. https://doi.org/10.15377/2409-5761.2017.04.6


 Medium access control (MAC) and efficient spectrum allocation function particularly, are real challenges that wireless communications are facing nowadays and Dynamic Spectrum Access (DSA), enhanced with quantum computation techniques, is the most promising alternative. In such a context, we capitalize quantum games and quantum decisions strengths to design protocols that make classic communications more efficient. That is, we focus on protocols running on quantum devices whose input and output signals are classic. In this work we propose a quantum media access control (QMAC) that allows dynamic and fair spectrum allocation. Particularly, we point to two of the main DSA functions, which are Spectrum Sharing and Spectrum Allocation.


Arizmendi CM. Paradoxical way for losers in a dating game. In Osvaldo A. Rosso Orazio Descalzi and Hilda A. Larrondo, editors, Proc. AIP Nonequilibrium Statistical Mechanics and Nonlinear Physics, pages 20-25, Mar del Plata , Argentina, December 2006.

Haykin SS. Cognitive radio: Brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications 2005; 23: 201-220. https://doi.org/10.1109/JSAC.2004.839380

Arizmendi CM, Barrangu JP and Zabaleta OG. A 802.11 MAC protocol adaptation for quantum communications. In Distributed Simulation and Real Time Applications (DS-RT), 2012 IEEE/ACM 16th International Symposium on 2012; 147-150.

Zabaleta OG and Arizmendi CM. Quantum game techniques applied to wireless networks communications. Journal of Advances in Applied and Computational Mathematics 2014; 1: 3-7. https://doi.org/10.15377/2409-5761.2014.01.01.1

Zabaleta OG, Barrangú JP and Arizmendi CM. Quantum game application to spectrum scarcity problems. Physica A: Statistical Mechanics and its Applications 2017; 466: 455-461. https://doi.org/10.1016/j.physa.2016.09.054

Hossain E, Niyato D and Zhu Han. Dynamic spectrum access and management in cognitive radio networks. Cambridge university press 2009. https://doi.org/10.1017/CBO9780511609909

Garey MR and David SJ. Computers and Intractability: a guide to the theory of NP-Completeness. A Series of Books in the Mathematical Sciences. W. H. Freeman and Company 1979.

Du Jiang-Feng, Li Hui, Xu Xiao-Dong, Zhou Xian-Yi and Han Rong-Dian. Multi-player and multi-choice quantum game. Chinese Physics Letters 2002; 19(9): 1221. https://doi.org/10.1088/0256-307X/19/9/301

Mishra SM, Sahai A and Brodersen RW. Cooperative sensing among cognitive radios. In 2006 IEEE International Conference on Communications 2006; 4: 1658-1663. https://doi.org/10.1109/ICC.2006.254957

Sharma U, Mittal P and Nagpal CK. Implementing game theory in cognitive radio network for channel allocation: An overview. International Journal of Energy, Information and Communications 2015; 6(2): 17-22. https://doi.org/10.14257/ijeic.2015.6.2.02