Co-Channel Interference Modeling in Cognitive Wireless Networks

Li, Hecheng; Li, Shenghong; Zhao, Feng; Du, Rong

doi:10.1109/tcomm.2014.2341628

Cited by 22 publications

(14 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although Li et al have presented the probability of outage over the Nakagami‐ m fading channel by considering interference for primary users of a cognitive network, they have not included average detection probability (

\overset{P_{normalD}}{true}

) in their analysis. In contrast to Li et al, this research paper not only includes analysis of

\overset{P_{normalD}}{true}

but also considered the most generic fading channel, namely, the MG fading channel, in place of the Nakagami‐ m fading channel.…”

Section: Related Workmentioning

confidence: 99%

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

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.

show abstract

\overset{P_{normalD}}{true}

) in their analysis. In contrast to Li et al, this research paper not only includes analysis of

\overset{P_{normalD}}{true}

but also considered the most generic fading channel, namely, the MG fading channel, in place of the Nakagami‐ m fading channel.…”

Section: Related Workmentioning

confidence: 99%

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

“…Previous work has studied the aggregated interference from DSA/CR users surrounding a primary receiver [20], [22], [23], the outage probability of a primary system caused by the interference from a DSA/CR network for underlay and overlay spectrum sharing [24], the region of communication and interference for the users of a DSA/CR system that coexists with a cellular network [25], the interference to wireless microphones in TV bands [26], and refinements including shadowing and fading effects [27], [28] and power control in the secondary DSA/CR network [29].…”

Section: Previous Workmentioning

confidence: 99%

Space-dimension models of spectrum usage for cognitive radio networks

López-Benítez

Casadevall

2016

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

Space-dimension models of spectrum usage for cognitive radio networksMiguel López-Benítez, Member, IEEE, Fernando CasadevallAbstract-The Dynamic Spectrum Access (DSA) principle, relying on the Cognitive Radio (CR) paradigm, allows users to access spectrum over time intervals or spatial areas where it remains unused. Owing to the opportunistic nature of DSA/CR, the behaviour and performance of DSA/CR networks depends on the perceived spectrum usage pattern. An accurate modelling of spectrum occupancy therefore becomes essential in the context of DSA/CR. In this context, this work addresses the problem of accurately modelling the spectrum occupancy pattern perceived by DSA/CR users in the spatial domain. A novel spatial modelling approach is introduced in order to enable a simple yet practical and accurate characterisation of spectrum. First, a set of models are proposed to characterise and predict the average level of occupancy perceived by DSA/CR users at various locations based on the knowledge of some simple signal parameters. An extension is then proposed in order to characterise not only the average occupancy level but also the instantaneous channel state perceived simultaneously by DSA/CR users observing the same transmitter from different locations. The validity and accuracy of the theoretical models are demonstrated with results from an extensive spectrum measurement campaign. Some illustrative examples of their potential applicability are presented and discussed as well.

show abstract

“…In (23), M ij d is obtained by replacing all the blocks in M except for M ij by m × m zero matrices, with ∆M ij d respectively a perturbation in M ij d . The term ̺ is the combined effect of the background noise in both forward and feedback channels [33].…”

Section: Network Stability In the Presence Of Uncertainty And Timementioning

confidence: 99%

“…must be kept below a certain threshold. • In the overlay paradigm, secondary users must have perfect knowledge about both primary and secondary users as well as the communication channels between them [23]. Sophisticated radio architectures are needed to use this knowledge and try to keep the interference caused by the secondary network on the primary network at the minimum level possible.…”

mentioning

confidence: 99%

Cognitive Radio Networks: The Spectrum Supply Chain Paradigm

Haykin

Setoodeh

2015

IEEE Trans. Cogn. Commun. Netw.

View full text Add to dashboard Cite

Cognitive radio provides a basis for addressing the practical issue of spectrum scarcity. This issue has been raised due to the continuing advances in wireless technology, which has led to ever-increasing demand for larger bandwidth. The issue of spectrum scarcity has been exacerbated due to inefficient use of the electromagnetic spectrum. Adopting the novel idea of cognitive radio for secondary usage of underutilized spectrum results in the existence of two worlds of wireless communications going on side by side: the legacy wireless world and the cognitive wireless world. Spectrum holes (i.e., the unused spectrum subbands) are the medium through which these two worlds dynamically interact. Releasing subbands by primary users allows the cognitive radio users to sustain communication and perform their normal tasks. Combination of the two wireless worlds can be viewed as a spectrum supply chain network, in which the legacy owners and their customers (primary users) play the role of the suppliers and cognitive radios (secondary users) play the role of consumers. This paper discusses two classes of spectrum supply chain networks based on two regimes, one allows open-access to the spectrum, and the other is a marketdriven regime. Each one of them has its own merits and suitability for a different environment; therefore, they have complementary roles. Analytic models are developed for these two classes of networks, which allow for analysis of both equilibrium and transient behaviors.

show abstract

Co-Channel Interference Modeling in Cognitive Wireless Networks

Cited by 22 publications

References 33 publications

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

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

Space-dimension models of spectrum usage for cognitive radio networks

Cognitive Radio Networks: The Spectrum Supply Chain Paradigm

Contact Info

Product

Resources

About