Design and Analysis of Downlink Spectrum Sharing in Two-Tier Cognitive Femto Networks

Cheng, Shin‐Ming; Ao, Weng Chon; Tseng, Fan-Min; Chen, Kwang-Cheng

doi:10.1109/tvt.2012.2187692

Cited by 90 publications

(3 citation statements)

References 31 publications

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“…The secondary link is located in an area of 25 km 2 and its distance is limited to 1,000 m. Transmission powers of the primary and secondary are the same. The links require the same channel bandwidth since they use the same type of traffic (homogeneous traffic).…”

Section: Some Of the Assumptions Made For Snapshots Arementioning

confidence: 99%

“…This leads to two kinds of interference between macro and femto cells: cross-tier (the aggressor and the victim of interference belong to different tiers) and intra-tier (the aggressor and the victim of interference belong to the same tier) [2]. Cognitive radio (CR) technology can address those issues, providing to femto-BS capabilities to sense the environment, interpret the received signal from the macro-BS and the surrounding femto-BSs, and intelligently allocate spectrum resources while cross-tier and the intra-tier interference are controlled.…”

Section: Introductionmentioning

confidence: 99%

“…The set of techniques to share and allocate spectrum resources through CR technology is known as dynamic spectrum access, where the users with low priority are known as secondary users (femtocells), whereas the members of the prioritized user group are named primary users (macrocell) [3]. To access the cellular channels (or primary channels), a secondary user performs one of the following dynamic spectrum access techniques: transmit simultaneously with the primary user as long as the resulting interference is constrained (spectrum underlay), or exploit an unused channel of the primary user (spectrum overlay) [2]. Therefore, the underlay scheme has a more efficient reuse of spectral resources since one primary channel is exploited simultaneously by two or more users.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Deployment analysis and optimization of heterogeneous networks under the spectrum underlay strategy

Martínez-Vargas¹,

Andrade²

2015

J Wireless Com Network

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To meet the growing mobile traffic demand, deployment of heterogeneous networks (HetNets) is proposed as a solution to enhance network capacity. It will enable the coexistence of several systems consisting of Macro, Micro, and Femto or WiFi layers. However, the main issue is the coexistence due to mutual interference. To guarantee that HetNet performance will not be compromised due to the interference, some deployment parameters should be controlled, such as primary exclusion zones and density of users. In this context, the present work provides deployment analysis and optimization for a Macro-Femto scenario, considering interference constraints to maximize the data rate of the HetNet. To fulfill this, we characterize some spectrum underlay scenarios in which HetNets would be expected to operate, setting different signal-to-interference-plus-noise ratio (SINR) thresholds. They are evaluated using a solution procedure based on the socio-cognitive particle swarm optimization (SCPSO) algorithm. Considering the best scenarios found, we show deployment parameters to achieve maximum system throughput, such as density of femto-users and primary exclusion zones of macro-users.

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Section: Some Of the Assumptions Made For Snapshots Arementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Deployment analysis and optimization of heterogeneous networks under the spectrum underlay strategy

Martínez-Vargas¹,

Andrade²

2015

J Wireless Com Network

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Interference Mitigation in Cognitive Radio‐Based LTE Femtocells

Safdar

2018

LTE Communications and Networks

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Pricing and power control for energy‐efficient radio resource management in cognitive femtocell networks

Xie

et al. 2013

Int J Communication

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SUMMARYCognitive femtocell has been considered as a promising technique that can improve the capacity and the utilization of spectrum efficiency in wireless networks because of the short transmission distance and low transmit power. In this paper, we study the win-win solution of energy-efficient radio resource management in cognitive femtocell networks, where the macrocell tries to maximize its revenue by adjusting spectrum utilization price while the femtocells try to maximize their revenues by dynamically adjusting the transmit power. When the spectrum utilization price is given by macrocell, we formulate the power control problem of standalone femtocells as an optimization problem and introduce a low-complexity iteration algorithm based on gradient-assisted binary search algorithm to solve it. Besides, non-cooperative game is used to formulate the power control problem between collocated femtocells in a collocated femtocell set, and then low complexity and widely used gradient-based iteration algorithm is applied to obtain the Nash-equilibrium solution. Specially, asymptotic analysis is applied to find the approximate spectrum utilization price in macrocell, which can greatly reduce the computational complexity of the proposed energy-efficient radio resource management scheme. Finally, extensive simulation results are presented to verify our theoretical analysis and demonstrate the performance of the proposed scheme.

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Design and Analysis of Downlink Spectrum Sharing in Two-Tier Cognitive Femto Networks

Cited by 90 publications

References 31 publications

Deployment analysis and optimization of heterogeneous networks under the spectrum underlay strategy

Deployment analysis and optimization of heterogeneous networks under the spectrum underlay strategy

Interference Mitigation in Cognitive Radio‐Based LTE Femtocells

Pricing and power control for energy‐efficient radio resource management in cognitive femtocell networks

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