Non-cooperative game model based spectrum and power allocation for cognitive network

Author(s):  
Rong Chai ◽  
Jinhong Li ◽  
Qianbin Chen
Author(s):  
Xiaodong Xu ◽  
Rui Gao ◽  
Mingyang Li ◽  
Yunting Wang

With the introduction of Small Cell into current cellular structure, the ever-growing demand for mobile traffic gets the opportunity to be fulfilled. But the overlapped dense deployment caused by the Small Cell Heterogeneous Network (HetNet) also arouses the interference problems. In order to solve those problems, this chapter focuses on Game Theory based uplink power control and downlink power allocation strategies for the interference mitigation of the heterogeneous Small Cell Network (SCN). For the uplink scenario, this chapter proposes the non-cooperative game model based power control algorithm, which can optimize the initial transmission power of both Macro Cell and Small Cell users through the Nash Equilibrium solution. For the downlink scenario with multiple service types in the SCN, the non-cooperative game model based scheme is proposed to optimize the transmission power allocation with constraints of different Quality of Service (QoS) requirements. The simulation results show the merits of the proposed strategies over current works.


Author(s):  
Pramod Kumar Goyal ◽  
Pawan Singh

In a heterogeneous wireless network (HWN) environment, performing an efficient vertical handoff requires the efficient qualitative evaluation of all stakeholders like wireless networks (WN) and mobile users (MU) and mutual selection of best WN-MU. In the literature, most of the work deals with both these requirements jointly in the techniques proposed by them for the vertical handoffs (VHO) in HWNs, leaving very little scope to manipulate the above requirements independently. This may result in inefficient vertical handoffs. Hence, this chapter proposed a generalized two-stage two players, iterative non-cooperative game model. This model presents a modular framework that separates the quantitative evaluation of WNs and MUs (at Stage 1) from the game formulation and solution (at Stage 2) for mutual selection of best WN-MU pair for VHO. The simulation results show a substantial reduction in the number of vertical handoffs with the proposed game theory-based two-stage model as compared to a single-stage non-game theory method like multiple attribute decision making.


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