Adaptive mode configuration in two‐tier macro‐femtocell networks

Khan, Farhan; Choi, Young‐June

doi:10.1049/iet-com.2013.0398

Cited by 7 publications

(4 citation statements)

References 15 publications

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“…Further in other studies, the investigation on the outage condition of the signal has been done for the cognitive two‐tier network. A scenario of the cognitive network is presented in with the derivation of outage probability of a single macrocell user using the composite gamma‐lognormal distribution.…”

Section: Related Workmentioning

confidence: 99%

“…A scenario of the cognitive network is presented in with the derivation of outage probability of a single macrocell user using the composite gamma‐lognormal distribution. In Khan and Choi, the adaptive approach for the transmission power of femtocell BSs is applied based on their proposed algorithm. Based on the SINR threshold and required difference between the SINRs of femtocell and macrocell users, the outage probability has been given.…”

Section: Related Workmentioning

confidence: 99%

“…Based on the SINR threshold and required difference between the SINRs of femtocell and macrocell users, the outage probability has been given. However, only the outage probability over the Rayleigh fading channel has been presented in Zeinalpour‐Yazdi et al Also, the impact of fading on outage has not been included in Zeinalpour‐Yazdi et al ED analysis over different fading channels such as the Nakagami‐ m or gamma fading channel, ie, K G, κ ‐ μ fading channel, η ‐ μ fading channel, Rician fading channel, and mixture gamma (MG) fading channel has been investigated.…”

Section: Related Workmentioning

confidence: 99%

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A novel analytical model for interference estimation in CR‐enabled femtocells

Singh

Kumar

Mishra³

et al. 2019

Int J Communication

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advancements in the direction of indoor implementation. A femtocell is a low-cost, short-range, and low-power system (also known as home base stations [BSs]) that reduces transmit-receive distance and achieves a higher signal-to-interference-plus-noise ratio (SINR). 1,2 A pedagogical view of the femtocell system, which includes its origin, uplink and downlink modeling, challenges, interference coordination, cell association and biasing, mobility and soft handover, and regulatory aspects, have been presented in Andrews et al. 3 Because of its ease of integration with existing third generation (3G) (code-division multiple access [CDMA]) and fourth generation (4G) (long-term evolution [LTE] advanced) technologies 4,5 and because of its coverage in the cellular dead zone and indoor environments, its demand has increased for a long time. However, the modeling or mitigation of interference 6 and the analysis of interference 7,8 have become more challenging issues for indoor wireless communication.CR is a widely used technology that not only incorporates intelligence into the system but also deals with spectrum scarcity. It was introduced by Mitola and Maguire 9 and defined as a radio system that understands the context of existence in an environment of communication and optimally sets parameters in the communication process. In other studies, 10,11 authors described the cognitive network architecture, characteristics, network components, and overview of its main aspects: spectrum sensing, spectrum decision, spectrum sharing, and spectrum mobility. Femtocells and the CR are envisioned as a promising approach in the modern wireless system, and they must be incorporated in future networks. At the same time, random deployment of femtocell BS (FBS) nodes without coordination with macrocell BS (MBS) 12 introduces interference between primary links (link between MBS and macrocell user equipment [MUE]) and secondary links (link between FBS and femtocell user equipment [FUE]). Interference coordination in the described heterogeneous network can be possible by making femtocell nodes intelligent to identify the transmission environment and adjust their configurations. By using CR capabilities, the mutual interference between primary links, ie, the link between MBS and MUE, and secondary links, ie, the link between FUE and FBS, can be restricted. This cognitive feature in femtocell nodes, also known as home eNode BSs (HeNBSs), is called cognitive femtocell networks. 13,14 All the very facts mentioned above are the motivation behind proposing an interference model and presenting various analytical expressions for the estimation of interference for CR-enabled femtocells. However, a complete survey on related works is presented separately in the next section in which the existing advantages and shortcomings are discussed. In addition, major contributions of the current work are listed (which reflect advantages of the proposal) at the end of the next section.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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A novel analytical model for interference estimation in CR‐enabled femtocells

Singh

Kumar

Mishra³

et al. 2019

Int J Communication

View full text Add to dashboard Cite

show abstract

“…In [26] the cost-effective deployment of femtocells has been performed in an energy-efficient way. In [27] femtocells adjust their coverage according to the requirement of improving capacity and spectral efficiency of the network.…”

Section: Iet Communicationsmentioning

confidence: 99%