Game theoretic approach for joint resource allocation in spectrum sharing femtocell networks

2014 ◽  
Vol 16 (6) ◽  
pp. 627-638 ◽  
Author(s):  
Ishtiaq Ahmad ◽  
Shang Liu ◽  
Zhiyong Feng ◽  
Qixun Zhang ◽  
Ping Zhang
Keyword(s):  
Resource Allocation ◽  
Spectrum Sharing ◽  
Theoretic Approach ◽  
Femtocell Networks ◽  
Joint Resource Allocation ◽  
Game Theoretic ◽  
Game Theoretic Approach

scholarly journals Game Theoretic Frequency Reuse Approach in OFDMA Femtocell Networks

2021 ◽  
Author(s):  
Joydev Ghosh
Keyword(s):  
Spectrum Sharing ◽  
Theoretical Method ◽  
Frequency Reuse ◽  
Base Stations ◽  
Theoretic Approach ◽  
Femtocell Networks ◽  
Secondary Users ◽  
Femtocell Network ◽  
Game Theoretic ◽  
Game Theoretic Approach

<div>In this paper, we initially dealt with the issue of spectrum allocation among macro (or “licensed”) and Femto (or “unlicensed”) users in an orthogonal frequency division multiple access (OFDMA) femtocell network of non- ooperative game theoretic frequency reuse approach. We formulate the difficulty based on spectrum bidding. Here individual Secondary Users (SU) create an auction for the amount of bandwidth and every PU can share the frequency band among SUs by itself according to the intelligence from SUs without lowering its own performance. Here, we consider that the bidding is a non- ooperative game and one of its solutions is a Nash Equilibrium (NE). The femto base stations (FBSs) are grouped into different cluster for mitigating the undesired interference among them. The game theoretical method deals with the inter-cluster frequency clashes.We exemplified a link between utility function and the number of players by non-cooperative game theoretic approach to guide the spectrum sharing decision at the cell edges. The convergence of the development mechanism is rigorously scrutinized and extensive numerical outcomes are presented to illustrate their potential merits.</div>

Dynamic resource allocation for OFDMA femtocell networks: a game-theoretic approach

2018 ◽  
Vol 69 (1) ◽  
pp. 51-59
Author(s):  
Azadeh Pourkabirian ◽  
Mehdi Dehghan Takht Fooladi ◽  
Esmaeil Zeinali ◽  
Amir Masoud Rahmani
Keyword(s):  
Resource Allocation ◽  
Dynamic Resource Allocation ◽  
Theoretic Approach ◽  
Femtocell Networks ◽  
Game Theoretic ◽  
Dynamic Resource ◽  
Game Theoretic Approach

scholarly journals Game Theoretic Frequency Reuse Approach in OFDMA Femtocell Networks

2021 ◽  
Author(s):  
Joydev Ghosh
Keyword(s):  
Spectrum Sharing ◽  
Theoretical Method ◽  
Frequency Reuse ◽  
Base Stations ◽  
Theoretic Approach ◽  
Femtocell Networks ◽  
Secondary Users ◽  
Femtocell Network ◽  
Game Theoretic ◽  
Game Theoretic Approach

<div>In this paper, we initially dealt with the issue of spectrum allocation among macro (or “licensed”) and Femto (or “unlicensed”) users in an orthogonal frequency division multiple access (OFDMA) femtocell network of non- ooperative game theoretic frequency reuse approach. We formulate the difficulty based on spectrum bidding. Here individual Secondary Users (SU) create an auction for the amount of bandwidth and every PU can share the frequency band among SUs by itself according to the intelligence from SUs without lowering its own performance. Here, we consider that the bidding is a non- ooperative game and one of its solutions is a Nash Equilibrium (NE). The femto base stations (FBSs) are grouped into different cluster for mitigating the undesired interference among them. The game theoretical method deals with the inter-cluster frequency clashes.We exemplified a link between utility function and the number of players by non-cooperative game theoretic approach to guide the spectrum sharing decision at the cell edges. The convergence of the development mechanism is rigorously scrutinized and extensive numerical outcomes are presented to illustrate their potential merits.</div>

scholarly journals Energy Efficiency Analysis by Game Theoretic Approach in the Next Generation Network

2021 ◽  
Author(s):  
Joydev Ghosh
Keyword(s):  
Energy Efficiency ◽  
Open Access ◽  
Spectrum Sharing ◽  
Data Exchange ◽  
Blocking Probability ◽  
Base Station ◽  
Theoretic Approach ◽  
Femtocell Networks ◽  
Access Mode ◽  
Game Theoretic

<div>In downlink orthogonal frequency division multiple access (OFDMA) networks, an effective way of using the limited wireless spectrum resources can significantly improve network response. This paper presents a game-theoretic scheme with anticoordinated 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 reponse of payoff function. In open access mode, each user belongs to the operator’s network can connect to the FBS and in closed access case, only a specified set of users can privately couple to the FBS whereas in the early access scenario it only allows authentic subscribers to take the advantage of femtocell networks. Additionally, the operating principle of 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 the users who are satisfied to a greatest extent and an FBS plays a role of mentor. Thereafter, the equilibrium concept has been invoked to aid the anti-coordinated players for the strategies. Besides, a femtocell power adaptation algorithm has also been introduced based upon the set of enabled femtocells who can be used to retain its blocking probability that guarantees convergence to the stable strategy of the game, where the FBS monitors the subscribers’ actions and gives only limited data exchange. The simulations demonstrate that the proposed algorithm attains a high quality performance such as rapid convergence, interference attenuation to a greatest extent, noticeable EE improvement etc. Finally, validate the simulation results with its rarely studied extension in cognitive femtocell networks.</div>

scholarly journals Energy Efficiency Analysis by Game Theoretic Approach in the Next Generation Network

2021 ◽  
Author(s):  
Joydev Ghosh
Keyword(s):  
Energy Efficiency ◽  
Open Access ◽  
Spectrum Sharing ◽  
Data Exchange ◽  
Blocking Probability ◽  
Base Station ◽  
Theoretic Approach ◽  
Femtocell Networks ◽  
Access Mode ◽  
Game Theoretic

<div>In downlink orthogonal frequency division multiple access (OFDMA) networks, an effective way of using the limited wireless spectrum resources can significantly improve network response. This paper presents a game-theoretic scheme with anticoordinated 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 reponse of payoff function. In open access mode, each user belongs to the operator’s network can connect to the FBS and in closed access case, only a specified set of users can privately couple to the FBS whereas in the early access scenario it only allows authentic subscribers to take the advantage of femtocell networks. Additionally, the operating principle of 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 the users who are satisfied to a greatest extent and an FBS plays a role of mentor. Thereafter, the equilibrium concept has been invoked to aid the anti-coordinated players for the strategies. Besides, a femtocell power adaptation algorithm has also been introduced based upon the set of enabled femtocells who can be used to retain its blocking probability that guarantees convergence to the stable strategy of the game, where the FBS monitors the subscribers’ actions and gives only limited data exchange. The simulations demonstrate that the proposed algorithm attains a high quality performance such as rapid convergence, interference attenuation to a greatest extent, noticeable EE improvement etc. Finally, validate the simulation results with its rarely studied extension in cognitive femtocell networks.</div>

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