A Control-Theoretic Approach for Cell Zooming of Energy Harvesting Small Cell Networks

2019 ◽  
Vol 3 (2) ◽  
pp. 329-342 ◽  
Author(s):  
Masashi Wakaiki ◽  
Katsuya Suto ◽  
Kenta Koiwa ◽  
Kang-Zhi Liu ◽  
Tadanao Zanma
Author(s):  
Masashi Wakaiki ◽  
Katsuya Suto ◽  
Kenta Koiwa ◽  
Kang-Zhi Liu ◽  
Tadanao Zanma

2021 ◽  
pp. 101-109
Author(s):  
Maria Diamanti ◽  
Georgios Fragkos ◽  
Eirini Eleni Tsiropoulou ◽  
Symeon Papavassiliou

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Guilu Wu ◽  
Hongyun Chu

An increasing number of vehicles make spectrum resources face serious challenges in vehicular cognitive small-cell networks. The means of spectrum sharing can greatly alleviate this pressure. In this paper, we introduce a supermodular game theoretic approach to analyze the problem of spectrum sharing. The small-cell BS (primary service provider, PSP) and the vehicle (secondary service provider, SSP) can share the spectrum, where the PSP can sell idle spectrum resources to the SSP. This is taken as a spectrum trading market, and a Bertrand competition model is considered to depict this phenomenon. Different PSPs compete with each other to maximize their individual profits. The Bertrand competition model can be proved as a supermodular game, and the corresponding Nash equilibrium (NE) solution is provided as the optimal price solution. Hence, an improved genetic simulated annealing algorithm is designed to achieve NE. Simulation results demonstrate that the NE point for the price of the primary service provider exists. The change of the exogenous variable is also analyzed on the equilibrium point.


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