Handover for Dense Small Cells Heterogeneous Networks: A Power-Efficient Game Theoretical Approach

Authors: Mohanad Alhabo, Li Zhang, Naveed Nawaz

Abstract:

In this paper, a non-cooperative game method is formulated where all players compete to transmit at higher power. Every base station represents a player in the game. The game is solved by obtaining the Nash equilibrium (NE) where the game converges to optimality. The proposed method, named Power Efficient Handover Game Theoretic (PEHO-GT) approach, aims to control the handover in dense small cell networks. Players optimize their payoff by adjusting the transmission power to improve the performance in terms of throughput, handover, power consumption and load balancing. To select the desired transmission power for a player, the payoff function considers the gain of increasing the transmission power. Then, the cell selection takes place by deploying Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). A game theoretical method is implemented for heterogeneous networks to validate the improvement obtained. Results reveal that the proposed method gives a throughput improvement while reducing the power consumption and minimizing the frequent handover.

Keywords: Energy efficiency, game theory, handover, HetNets, small cells.

References:

[1] X. Chu, D. L´opez-P´erez, Y. Yang, and F. Gunnarsson, Heterogeneous Cellular Networks: Theory, Simulation and Deployment. Cambridge University Press, 2013.
[2] M. Alhabo and L. Zhang, “Unnecessary handover minimization in two-tier heterogeneous networks,” in Wireless On-demand Network Systems and Services (WONS), 2017 13th Annual Conference on. IEEE, 2017, pp. 160–164.
[3] M. Alhabo, L. Zhang, and N. Nawaz, “A trade-off between unnecessary handover and handover failure for heterogeneous networks,” in European Wireless 2017; 23th European Wireless Conference; Proceedings of. VDE, 2017.
[4] M. Alhabo, L. Zhang, and O. Oguejiofor, “Inbound handover interference-based margin for load balancing in heterogeneous networks,” in Wireless Communication Systems (ISWCS), 2017 International Symposium on. IEEE, 2017, pp. 1–6.
[5] M. Alhabo and L. Zhang, “Load-dependent handover margin for throughput enhancement and load balancing in hetnets,” IEEE Access, vol. 6, pp. 67 718–67 731, 2018.
[6] ——, “Multi-criteria handover using modified weighted topsis methods for heterogeneous networks,” IEEE Access, vol. 6, pp. 40 547–40 558, 2018.
[7] K. Son, H. Kim, Y. Yi, and B. Krishnamachari, “Base station operation and user association mechanisms for energy-delay tradeoffs in green cellular networks,” IEEE journal on selected areas in communications, vol. 29, no. 8, pp. 1525–1536, 2011.
[8] A. Merwaday and I. G¨uvenc¸, “Optimisation of feicic for energy efficiency and spectrum efficiency in lte-advanced hetnets,” Electronics Letters, vol. 52, no. 11, pp. 982–984, 2016.
[9] M. Alhabo, L. Zhang, and N. Nawaz, “Gra-based handover for dense small cells heterogeneous networks,” IET Communications, 2019.
[10] Y. Li, H. Zhang, J. Wang, B. Cao, Q. Liu, and M. Daneshmand, “Energy-efficient deployment and adaptive sleeping in heterogeneous cellular networks,” IEEE Access, vol. 7, pp. 35 838–35 850, 2019.
[11] X. Huang, W. Xu, H. Shen, H. Zhang, and X. You, “Utility-energy efficiency oriented user association with power control in heterogeneous networks,” IEEE Wireless Communications Letters, vol. 7, no. 4, pp. 526–529, 2018.
[12] C. Yang, J. Li, A. Anpalagan, and M. Guizani, “Joint power coordination for spectral-and-energy efficiency in heterogeneous small cell networks: A bargaining game-theoretic perspective,” IEEE Transactions on Wireless Communications, vol. 15, no. 2, pp. 1364–1376, 2015.
[13] R. Tao, W. Liu, X. Chu, and J. Zhang, “An energy saving small cell sleeping mechanism with cell range expansion in heterogeneous networks,” IEEE Transactions on Wireless Communications, 2019.
[14] J. Zhang and G. De la Roche, Femtocells: technologies and deployment. John Wiley & Sons, 2011.
[15] G. L. St¨uber, Principles of mobile communication. Springer Science & Business Media, 2011.
[16] Q.-T. Nguyen-Vuong, Y. Ghamri-Doudane, and N. Agoulmine, “On utility models for access network selection in wireless heterogeneous networks,” in Network Operations and Management Symposium, 2008. NOMS 2008. IEEE. IEEE, 2008, pp. 144–151.
[17] N. Bulusu, D. Estrin, L. Girod, and J. Heidemann, “Scalable coordination for wireless sensor networks: self-configuring localization systems,” in International Symposium on Communication Theory and Applications (ISCTA 2001), Ambleside, UK, 2001.
[18] H. Nikaidˆo and K. Isoda, “Note on non-cooperative convex game,” Pacific Journal of Mathematics, vol. 5, no. 5, pp. 807–815, 1955.
[19] J. B. Rosen, “Existence and uniqueness of equilibrium points for concave n-person games,” Econometrica: Journal of the Econometric Society, pp. 520–534, 1965.
[20] H. Kuhn and A. Tucker, “Nonlinear programming. sid 481-492 in proc. of the second berkeley symposium on mathematical statictics and probability,” 1951.
[21] A. Mehbodniya, F. Kaleem, K. K. Yen, and F. Adachi, “Wireless network access selection scheme for heterogeneous multimedia traffic,” IET networks, vol. 2, no. 4, pp. 214–223, 2013.
[22] Y.-M. Wang and Y. Luo, “Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making,” Mathematical and Computer Modelling, vol. 51, no. 1, pp. 1–12, 2010.