A joint power control and converge scheme in a cognitive-femtocell architecture for wireless networks for throughput maximization

Sung, Nakwoon; Torregoza, John Paul; Hwang, Won-Joo; Lee, Sookjin; Yoon, Hyunsoo

doi:10.1109/indin.2010.5549599

Cited by 9 publications

(6 citation statements)

References 19 publications

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“…The analogy lies in the fact that both CR and femtocell are introduced to achieve better capacity enhancements by means of various spectrum management and interference mitigation techniques. By considering the femtocell deployed by user as a secondary user (SU) and macrocell as primary user (PU), cognitive channel sensing capability of CR can be exploited to sense the radio usage of the macrocell network to mitigate any interference induced by the femtocell deployment [118][119][120]. For instance, in [118], cognitive sensing is used to identify the channel reuse pattern in OFDMA based femtocell to allocate low-interference spectrum to the femtocell users.…”

Section: Toward Cognitive Femtocellsmentioning

confidence: 99%

“…Despite CR underlying issues (e.g., sensing reliability, regulating policies, and susceptibility to interference), FAP equipped with CR capability can use multiple access schemes (i.e., multimode operation) and multi-operator service deployment, hence supporting a communication convergence [119,120]. The convergence can provide diverse enhancements to conventional femtocell access facilities such as adaptive operation, higher throughput, better interference management, and flexible energy throughput trade-off [120].…”

Section: Toward Cognitive Femtocellsmentioning

confidence: 99%

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A Review of Radio Resource Management in FemtoCell from Interference Control Perspective

Kayastha

Niyato

2017

ECTI-CIT

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A new and emerging technology called femtocell brings significant improvement in terms of better indoor coverage and higher data rate. Able to be installed and maintained by individual user, femtocell provides a cost effective solution to mobile operators to achieve higher network capacity. However, interference due to two-tier network structure introduces many challenges for successful femtocell deployment. In this article, we summarize various interference and resource management techniques proposed in the context of femtocell. Specifically, we focus on interference avoidance techniques. First, the overview of femtocells, its architecture, and common issues are presented. Next, various interference avoidance techniques are reviewed. At the end, several important research directions are outlined.

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Section: Toward Cognitive Femtocellsmentioning

confidence: 99%

Section: Toward Cognitive Femtocellsmentioning

confidence: 99%

A Review of Radio Resource Management in FemtoCell from Interference Control Perspective

Kayastha

Niyato

2017

ECTI-CIT

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“…By minimizing interference with power control, it is also able to increase the throughput. [8]. One of the strategies to alleviate the interference, femtocell users will regulate the maximum transmission power to reduce the cross-tier interference at the macrocell base stations (MBS) [9].…”

Section: Introductionmentioning

confidence: 99%

“…Previous studies have developed their power control scheme to enhance the system performance in cognitive femtocell networks, such as considering the energy efficiency [18], increasing SINR target [19], reducing the complexity of power allocation algorithms [20], enhancing the system throughput [8] while keeping the quality of service (QoS) of macrocell users as good as that of femtocell users [21] [22]. However, these studies have not demonstrated how efficiently the usage of transmit power and how big influence on other user transmit power due to the inefficient.…”

Section: Introductionmentioning

confidence: 99%

Preliminary study: Non cooperative power control game model for cognitive femtocell network

Isnawati

Hidayat

Sulistyo

et al. 2014

Proceedings of International Conference on Information, Communication Technology and System (ICTS) 2014

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Scarcity of bandwidth and usage inefficiency of frequency band encourage of using cognitive radio technology. Being motivated by green wireless communication makes us enthusiasm to utilize femtocell as a network with low power consumption. Power control scheme is one of what we need in cognitive femtocell network to improve network performance. This paper implement a non cooperative power control algorithm using game theoretical approach in cognitive femtocell network to enhance the network performance in systems throughput, interference mitigation, and optimal power allocation while reducing inefficient transmit power. Feasible system is absolutely necessary in wireless communication, especially cognitive femtocell network. The results of the feasibility test, a nonnegative power vector, will be used as the reference for implementation of the next process related cost function in game theory.

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“…In [9] authors proposed and analysed an optimum decentralized spectrum allocation policy for two-tier networks employing OFDMA. Joint power control, base station assignment, and channel assignment methods have been proposed in [10] for CR based femto-cells. A multi-objective optimization framework with mixed integer variables is formed providing a pareto optimal solution through weighted sum approach and shows that as the number of users in the network increases, significant gains can be obtained in the aggregate throughput when the proposed approach is deployed.…”

Section: Introductionmentioning

confidence: 99%

Power and subcarrier allocation for OFDMA femto-cell based underlay cognitive radio in a two-tier network

Gupta

Banerjee

2011

2011 IEEE 5th International Conference on Internet Multimedia Systems Architecture and Application

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In this paper, the problem of subcarrier allocation, and power allocation is addressed in an OFDM-based two-tier femto-cell network comprising of a conventional macro-cell and multiple femto-cells. The macro-cell users near the femto-cell causes significant interference to the femto-cell users as well gets interfered by the femto-cell transmissions. We present a subcarrier and power allocation method in underlay femto-cell network while keeping the total interference to macro-cell users under acceptable levels. We maximize the multiple femto-cell users throughput by jointly allocating subcarriers to users within a femto-cell, and also power allocation, under the constraints of cross-tier interference between macro-cell and multiple femtocells as well as interference among femto-cells. Then, based on this subcarrier and power allocation the performance of the twotier network is analysed with capacity as the performance metric.

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A joint power control and converge scheme in a cognitive-femtocell architecture for wireless networks for throughput maximization

Cited by 9 publications

References 19 publications

A Review of Radio Resource Management in FemtoCell from Interference Control Perspective

A Review of Radio Resource Management in FemtoCell from Interference Control Perspective

Preliminary study: Non cooperative power control game model for cognitive femtocell network

Power and subcarrier allocation for OFDMA femto-cell based underlay cognitive radio in a two-tier network

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