Optimal Strategy Design for Enabling the Coexistence of Heterogeneous Networks in TV White Space

Cacciapuoti, Angela Sara; Caleffi, Marcello; Paura, Luigi

doi:10.1109/tvt.2015.2481007

Cited by 37 publications

(40 citation statements)

References 29 publications

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“…An interference avoidance strategy is proposed in [75] which aims to adaptively and autonomously enable the CR networks select the channels so as to maximize the throughput in presence of coexistence interference. The coexistence problem is formulated as an optimal sensing sequence and optimal stopping rule optimization problem, with the objective of maximizing the expected reward, i.e., average throughput achievable by the secondary user in a given time-slot.…”

Section: Distributed and Decentralized Approaches For Selfcoexistencementioning

confidence: 99%

A Survey on Coexistence in Heterogeneous Wireless Networks in TV White Spaces

Maloku

Fazliu

Ibrani

2018

Wireless Communications and Mobile Computing

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With the advent of analog to digital transition in TV broadcasting, a substantial amount of spectrum has become available in TV bands. To take advantage of this, the idea for cognitive radios was introduced for two major reasons: better utilization of spectrum in urban areas and facilitation of wireless connectivity in rural areas. To achieve these two goals, however, many challenges have to be addressed first. Considering that these frequencies are commonly licensed, besides primary user detection, a serious challenge remains the detection and identification of other secondary devices and networks. The problems arising from this issue concern the coexistence problems happening from having several primary and secondary networks of different technologies cohabiting the same licensed spectrum simultaneously and from many secondary systems/users coexisting at the same place while using identical or different technologies. In this survey we provide a review of existing works and outline new challenges regarding coexistence and self-coexistence in heterogeneous wireless networks in TV White Spaces including a comparative analysis between selected coexistence mechanisms.

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Section: Distributed and Decentralized Approaches For Selfcoexistencementioning

confidence: 99%

A Survey on Coexistence in Heterogeneous Wireless Networks in TV White Spaces

Maloku

Fazliu

Ibrani

2018

Wireless Communications and Mobile Computing

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“…Tseng et al [12] study the problem of self-organized network selection in heterogeneous networks with time-varying channel availability and unknown number of secondary users by an ordinal potential game, and propose a decentralized stochastic learning based algorithm to solve it. Cacciapuoti et al [13] design an optimal coexistence strategy that adaptively and autonomously selects the channel maximizing the expected throughput of multiple heterogeneous and independently-operated unlicensed networks. -Centralized schemes Bahrak et al [15] for the first time formulate the coexistence decision making (CDM) problem as a multi-objective combinatorial optimization problem with a set of critical constraints, each corresponding to an important prerequisite for the coexistence of H-CRNs.…”

Section: Related Workmentioning

confidence: 99%

“…When conditions (13) and (14) are feasible, we can calculate the mode dependent feedback gain spectrum dynamics of H-CRN m in mode i is described as follows:…”

Section: Theorem 1 the Tracking Error E(k) In (11) Converges To Zero mentioning

confidence: 99%

“…Preparation At the CDIS, for each mode i a feasible feedback gain matrix L i is constructed as L i = s j=1 P j P j −1 s j=1 P j R ji , where R ji and P i are feasible solutions to (13) and (14). The CDIS then achieves the expected spectrum share s * by solving the optimization problem (5) …”

Section: Algorithm Descriptionmentioning

confidence: 99%

“…On one hand, autonomous schemes are suitable for the case in which the coordination between coexisting H-CRNs is unavailable [10][11][12][13]. New coexistence protocols [10,11] or novel decision making algo-rithms [12,13] have been proposed to ensure fair channel access for coexisting H-CRNs. On the other hand, centralized schemes are appealing for the case in which a mediator system is available for coordinating the operations of coexisting H-CRNs.…”

Section: Introductionmentioning

confidence: 99%

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Heterogeneous coexistence between cognitive radio networks: a Markovian jump system method

2017

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With the increasing demand of wireless spectrum, different unlicensed wireless communication technologies have been applied in the television white space (TVWS). It is vital to understand that the mutual interference over TVWS due to incompatible protocol designs heavily degrades the quality of service of coexisting heterogeneous cognitive radio networks. In this paper, taking the activity of primary users into consideration, we formulate the heterogeneous coexistence problem over TVWS as a nonlinear Markovian jump system (NMJS) based on the Lotka-Volterra competition model. By using the local linearization method, we first obtain a linear Markovian jump system model (which approximates the NMJS linearly at the desired spectrum share) to the NMJS. Further, we obtain an effective feedback controller to the equilibrium assignment of the NMJS via solving a sufficient condition in the form of linear matrix inequalities. Third, we propose an IEEE 802.19.1-compatible spectrum sharing algorithm which enables the NMJS to converge to the assigned spectrum share. Finally, extensive simulations are conducted to validate the effectiveness of our proposals.

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Cross‐layer perspective for channel assignment in cognitive radio networks: A survey

Gupta

Dhurandher

2019

Int J Communication

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Summary With the advent of various emerging wireless products, the usage of limited spectrum has grown exponentially in the recent years. In the next few years, that mobile data traffic globally is expected to grow up to 50 EB/month, which is nearly a five times increase over year 2018. Therefore, it will become extremely difficult to satisfy the ever increasing demand through the current fixed spectrum assignment policy in which spectrum band is exclusively used for the particular applications, and it has also led to underutilization of a significant portion of the spectrum (like TV bands). Cognitive radio networks has emerged as a possible solution for the problem which makes dynamic spectrum access possible for unlicensed user when licensed user is not active. Among various operations of cognitive radio, channel assignment to the unlicensed user is very important. Further, wireless regional area network is one of the most important application of cognitive radio, which provides wireless broadband to the rural area using vacant TV channels. This paper discusses channel assignment techniques considering various functionalities for cognitive radio networks in respect of wireless regional area network in the existing literature. Initially, a comprehensive introduction to both cognitive radio networks and wireless regional area networks is provided, and in the end, the paper summarizes the various issues and research challenges in the channel assignment for wireless regional area networks.

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Optimal Strategy Design for Enabling the Coexistence of Heterogeneous Networks in TV White Space

Cited by 37 publications

References 29 publications

A Survey on Coexistence in Heterogeneous Wireless Networks in TV White Spaces

A Survey on Coexistence in Heterogeneous Wireless Networks in TV White Spaces

Heterogeneous coexistence between cognitive radio networks: a Markovian jump system method

Cross‐layer perspective for channel assignment in cognitive radio networks: A survey

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