Energy-Efficient Spectrum Sensing and Access for Cognitive Radio Networks

Wang, S.; Wang, Yue; Coon, Justin P.; Doufexi, Angela

doi:10.1109/tvt.2011.2180549

Cited by 111 publications

(82 citation statements)

References 10 publications

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“…It can be analyzed in a similar way to what was done for the duration of an effective white space in (7) and (8). The probability that the interference run is at least k slots long is…”

Section: Amount Of Interference Caused To Pusmentioning

confidence: 99%

“…Selection of sensing parameters raises several tradeoffs involving achievable throughput, energy consumption and interference caused to PUs [4][5][6][7][8][9][10][11]. In general, more frequent and longer sensing periods reduce the achievable throughput, but increase the reliability of sensing and lower the interference that is caused to PUs.…”

Section: Introductionmentioning

confidence: 99%

“…This has brought energy consumption into the equation and some studies treated energy efficiency as a fundamental part of spectrum sensing [7,8,10,11]. As a matter of fact, energy efficiency has become a major issue in communication networks, not only for battery operated devices but for all type of devices and infrastructures [13].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, in those scenarios where energy consumption is critical, a common strategy for SUs upon detecting the presence of a PU is to remain silent in the current channel and wait for the channel to become idle again, instead of performing a spectrum handoff to switch to a different channel [8,15]. In this paper we focus on this type of strategies.…”

Section: Introductionmentioning

confidence: 99%

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Discrete time analysis of cognitive radio networks with imperfect sensing and saturated source of secondary users

Alfa

Pla

Martínez-Bauset

et al. 2016

Computer Communications

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Sensing is one of the most challenging issues in cognitive radio networks. Selection of sensing parameters raises several tradeoffs between spectral efficiency, energy efficiency and interference caused to primary users (PUs). In this paper we provide representative mathematical models that can be used to analyze sensing strategies under a wide range of conditions. The activity of PUs in a licensed channel is modeled as a sequence of busy and idle periods, which are represented as alternating Markov phase renewal processes. The representation of the secondary users (SUs) behavior is also largely general: the duration of transmissions, sensing periods and the intervals between consecutive sensing periods are modeled by phase type distributions, which constitute a very versatile class of distributions. Expressions for several key performance measures in cognitive radio networks are obtained from the analysis of the model. Most notably, we derive the distribution of the length of an effective white space; the distributions of the waiting times until the SU transmits a given amount of data, through several transmission epochs or uninterruptedly; and the goodput when an interrupted SU transmission has to be restarted from the beginning due to the presence of a PU.

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“…It can be analyzed in a similar way to what was done for the duration of an effective white space in (7) and (8). The probability that the interference run is at least k slots long is…”

Section: Amount Of Interference Caused To Pusmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Discrete time analysis of cognitive radio networks with imperfect sensing and saturated source of secondary users

Alfa

Pla

Martínez-Bauset

et al. 2016

Computer Communications

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“…To achieve this, CRSNs have to perform spectrum sensing besides the information collection, and to design access schemes which produce strictly limited interference to primary users (PUs). On the other hand, different from CR networks [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26], CRSNs inherit the fundamental limitations of traditional WSNs whose lifetime and capabilities (e.g. computation, communication and storage) are strictly limited due to constrains in energy resources and low-cost hardwares.…”

Section: Introductionmentioning

confidence: 99%

Utility‐based opportunistic spectrum access for cognitive radio sensor networks: joint spectrum sensing and random access control

et al. 2016

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This study formulates a novel optimisation problem for joint spectrum sensing and random access control (JS 2 RAC) in cognitive radio sensor networks (CRSNs). The JS 2 RAC is formulated as a network utility maximisation problem, which aims to maximise the sum of utilities over all links in the network but subject to the primary user protection constraint, the energy constraint, and the physical constraint. Due to the non-separable and non-convex nature of the JS 2 RAC problem, the authors propose a primal-decomposition-based iterative (PDI) algorithm which decomposes the JS 2 RAC problem into a spectrum sensing subproblem and a random access control subproblem, and solve the two subproblems iteratively. Then, the authors prove the convergence of the PDI algorithm and show its distributed implementation in practice. Simulations demonstrate the fast convergence and the near-optimal nature of the PDI algorithm and show its significant improvement in the network utility of CRSNs in comparison with the method of optimising spectrum sensing and random access separately.

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A novel reliable and secure communication scheme for cognitive radio networks using concatenated kernel codes

Kumar

Selvakumar

2018

Int J Communication

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SummaryCognitive radio networks have emerged as a possible solution for the spectrum scarcity problem. Cognitive radio networks involve heterogeneous entities as part of it for facilitating spectrum sharing. Ensuring reliability and security in such scenario is inevitable for the licensed users (primary users) as well as for the unlicensed users (secondary users). To address the challenges of reliable and secure communication for the secondary users, in this paper, a novel reliable and secure communication framework is proposed. A class of group codes called concatenated kernel codes is used to achieve reliability and techniques of fundamental cutset and fundamental circuit to achieve security in terms of authentication of sender. It is shown that the proposed communication framework provides reliability mitigating the continuous interference of primary users and security by defending against the cryptanalytic attacks such as replay attack, related key attack, and man‐in‐the‐middle attacks. The theoretical basis of the proposed framework is validated, and its performance is evaluated through simulations.

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Energy-Efficient Spectrum Sensing and Access for Cognitive Radio Networks

Cited by 111 publications

References 10 publications

Discrete time analysis of cognitive radio networks with imperfect sensing and saturated source of secondary users

Discrete time analysis of cognitive radio networks with imperfect sensing and saturated source of secondary users

Utility‐based opportunistic spectrum access for cognitive radio sensor networks: joint spectrum sensing and random access control

A novel reliable and secure communication scheme for cognitive radio networks using concatenated kernel codes

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