@article{(Open Science Index):https://publications.waset.org/pdf/10012005,
	  title     = {Handover for Dense Small Cells Heterogeneous Networks: A Power-Efficient Game Theoretical Approach},
	  author    = {Mohanad Alhabo and  Li Zhang and  Naveed Nawaz},
	  country	= {},
	  institution	= {},
	  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.},
	    journal   = {International Journal of Electronics and Communication Engineering},
	  volume    = {15},
	  number    = {5},
	  year      = {2021},
	  pages     = {194 - 199},
	  ee        = {https://publications.waset.org/pdf/10012005},
	  url   	= {https://publications.waset.org/vol/173},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 173, 2021},
	}