Power Allocation Algorithm Based on Non-cooperative Game Theory for LTE Downlink

Tian, Yaping; Liu, Hailin; Zhirong, Li

doi:10.1109/wi-iat.2012.81

Cited by 3 publications

(4 citation statements)

References 5 publications

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“…Joint decision and multiple feedback schemes are proposed to enhance the system performance through appropriate selection of normal/mute transmitting status and accurate scheduling for dynamic ICIC. Finally, in [13], a power allocation algorithm based on non-cooperative game theory is proposed. In the downlink of LTE, the pricing mechanism in the non-cooperative game theory is used to model the power allocation scheme in OFDMA cellular systems.…”

Section: Related Workmentioning

confidence: 99%

“…Hence, the main idea behind the best power response is for each eNodeB j to iteratively solve the optimization problem in (13) given the current interference impact and power profile of the other eNodeBs and then to recalculate the corresponding interference impact until convergence. Formally, we summarize this as follows: 1.…”

Section: Attaining the Nash Equilibriummentioning

confidence: 99%

“…For the latter, more than 80% of power ratio is less than (-30 dB). Indeed, the existence of the power costin the utility function (13), diminishes the selfishness of eNodeBs that are tempted to transmit at full power on all RBs. This power economy is obtained while maintaining good performances as we can see in Fig.…”

Section: Attaining the Nash Equilibriummentioning

confidence: 99%

“…We note that each eNodeB attains the NE within 2 to 4 iterations. At each iteration epoch, one eNodeB is randomly selected to maximize its payoff function given in (13). The iteration epoch is equal one TTI (Transmit Time Interval), which equals 1ms in LTE, therefore the mean convergence time is less than 4*9*TTI.…”

Section: Attaining the Nash Equilibriummentioning

confidence: 99%

See 3 more Smart Citations

Achieving spectral and energy efficiencies in multi-cell networks

Maaz

Khawam

Tohmé

2015

2015 11th International Conference on Innovations in Information Technology (IIT)

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The focus of this paper is targeted towards multicell networks, when dense frequency reutilization is used in a given operating area by evolved Nodes B (eNodeB). The ensuing Inter-Cell Interference (ICI) harms the radio transmissions and degrades the performances. Thus, a certain degree of ICI coordination (ICIC) between the eNodeBs is required to manage the resources and minimize the interference level. This paper addresses the problem of ICIC in the downlink of LTE OFDMA-based systems, where the power level selection of resource blocks (RBs) is portrayed as a sub-modular game in the context of self-organizing networks. The existence of Nash equilibriums (NEs) for that type of games shows that stable power allocations can be reached by selfish eNodeBs. To attain these NEs, we propose a decentralized algorithm based on Best Response dynamics to achieve those equilibriums. In order to evaluate our proposal, we compare the obtained results to an optimal global CoMP (Coordinated Multi-Point) solution where a central controller is the decision maker [2]. Numerical simulations assessed the good power efficiency of the proposed distributed approach in comparison with the centralized approach for CoMP.

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Section: Related Workmentioning

confidence: 99%

Section: Attaining the Nash Equilibriummentioning

confidence: 99%

Section: Attaining the Nash Equilibriummentioning

confidence: 99%

Section: Attaining the Nash Equilibriummentioning

confidence: 99%

See 2 more Smart Citations

Achieving spectral and energy efficiencies in multi-cell networks

Maaz

Khawam

Tohmé

2015

2015 11th International Conference on Innovations in Information Technology (IIT)

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Heterogeneous user mobility based scheduling scheme and transmission mode selection in downlink LTE/LTE-A systems

George¹,

Mathews²,

Pillai³

2015

2015 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)

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Interference Mitigation with Power Control and Allocation in the Heterogeneous Small Cell Networks

Gao

et al.

Game Theory Framework Applied to Wireless Communication Networks

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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.

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Power Allocation Algorithm Based on Non-cooperative Game Theory for LTE Downlink

Cited by 3 publications

References 5 publications

Achieving spectral and energy efficiencies in multi-cell networks

Achieving spectral and energy efficiencies in multi-cell networks

Heterogeneous user mobility based scheduling scheme and transmission mode selection in downlink LTE/LTE-A systems

Interference Mitigation with Power Control and Allocation in the Heterogeneous Small Cell Networks

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