Abstract
This paper presents a game-theoretic scheme with anti-coordinated players by incorporating adaptation of femto base station (FBS) transmit power, attenuation of interference and utility function for open access mode and closed access mode, respectively. The deployment of femtocells in the networks is to produce improved energy efficiency (EE) and optimized response of payoff function. Additionally, the operating principle of the spectrum sharing scheme has been discussed in which FBS as a player acquire knowledge from utility responses of their strategic communications and revise their strategies at each level of the game process. Here, an FBS is regarded as a player in the game to select those users who are satisfied to a greatest extent and besides an FBS plays a role of mentor. Thereafter, the equilibrium concept has been invoked to aid the anti-coordinated players for the strategies. Finally, validated the simulation results are with its rarely studied extension in cognitive-femtocell networks.
Highlights
Growing energy costs and risingly rigid scenario standards have brought to an emerging trend of addressing energy efficiency (EE) aspect of generation networks [1]
The cognitive radio (CR) technology [12], [23] activates femto user equipments (FUEs), where an user can connect to the femto base station (FBS) with low communication range rather than higher communication range to macro base station (MBS), to tune transmission variations depending upon the environmental conditions [13] and may be employed to resolve the power adaptation issues in cognitive femtocell networks [14], [24]
Spectrum allocation and MUs are randomly distributed in the range of MBS, and cognitive FUs are uniformly distributed in the network coverage of their serving femtocell; carrier frequency 2.5 GHz, BW=20MHz, AWGN power spectral density N0 = −174 dBm/Hz
Summary
Growing energy costs and risingly rigid scenario standards have brought to an emerging trend of addressing energy efficiency (EE) aspect of generation networks [1]. An analytical model development of a basic structure underlying a two-layer network is performed to investigate and probe the different metrics such as utility function, payoff function, access policy and energy efficiency in comparison to that of two-layers network where FBSs are grouped into different clusters at the macrocell edges as presented in [22] This system model has been shown in contrast to the reference [22] that the networks where open and close access modes between a FBS and a user respectively have a substantial role in spectrum sharing cost and femtocell power adaptation even for wide-reaching macrocells. We develop both an analytical framework and an admission control prototype for joint resource allocation and dynamic spectrum sharing, respectively, in non-cooperative game theoretic based cognitive femtocell networks
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