Femtocell-Throughput Analysis in OFDMA-CR Networks

Ghosh, Joydev; Panjwani, Varsha; Roy, Sanjay Dhar

doi:10.14257/ijeic.2015.6.6.02

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…Let, γ f o be the target SINR of the poorest quality of service getter FUE i whose distance from its associated FBS is certainly d f . Hence, the outage probability constraint can therefore be written as [22]:…”

Section: System Modelmentioning

confidence: 99%

Game Theoretic Frequency Reuse Approach in OFDMA Femtocell Networks

Ghosh¹

2021

Preprint

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<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>

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Section: System Modelmentioning

confidence: 99%

Game Theoretic Frequency Reuse Approach in OFDMA Femtocell Networks

Ghosh¹

2021

Preprint

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“…Hence, SINR on s th subband of i th FU can be written as

γ_{i}^{f s} = ({, \begin{matrix} array \frac{P_{i}^{f s} G_{s i}^{f s}}{\sum_{j \neq i, j \in {scriptU}_{f}} P_{j}^{f s} G_{j i}^{f s} + I_{i k}^{f s} + Δ f N_{0}}, MUE k exists \\ array \frac{P_{i}^{f s} G_{s i}^{f s}}{\sum_{j \neq i, j \in {scriptU}_{f}} P_{j}^{f s} G_{j i}^{f s} + σ_{i}^{2} + Δ f N_{0}}, MUE k does not exist . \end{matrix})

Let

γ_{o}^{f}

be the target SINR of the poorest QoS gets FUE i whose distance from its associated FBS is certainly d f . Hence, the outage probability constraint can therefore be written as

P_{r} ({}, γ_{i}^{f s} false(d_{f} false) < γ_{0}^{f s}) < p_{o}^{f s},

where

p_{o}^{f s}

indicates the target outage probability. The cumulative distribution function (CDF) is expressed by

normalΨ ((), γ_{i}^{f s}) = 1 - \frac{1}{2} e r f c ((), \frac{10 lo g_{10} γ_{0}^{s} - v_{i}}{\sqrt{2} η_{i}})

…”

Section: System Modelmentioning

confidence: 99%

Game theoretic frequency reuse approach in OFDMA femtocell networks

Ghosh

Jayakody

2018

Trans Emerging Tel Tech

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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 femtocell network of noncooperative game theoretic frequency reuse approach. We formulate the difficulty based on spectrum bidding. Here, individual secondary users (SUs) create an auction for the amount of bandwidth and every primary user 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 noncooperative game and one of its solutions is a Nash equilibrium. The femto base stations are grouped into different cluster for mitigating the undesired interference among them. The game theoretical method deals with the intercluster frequency clashes. We exemplified a link between utility function and the number of players by noncooperative 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.

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Femtocell-Throughput Analysis in OFDMA-CR Networks

Abstract: In OFDMA femtocell networks, the licensed spectrum of the macro users (MUs)

Cited by 2 publications

References 12 publications

Game Theoretic Frequency Reuse Approach in OFDMA Femtocell Networks

Game Theoretic Frequency Reuse Approach in OFDMA Femtocell Networks

Game theoretic frequency reuse approach in OFDMA femtocell networks

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