Removal of Sensing-Throughput Tradeoff Barrier in Cognitive Radio Networks

Verma, Gaurav; Sahu, O. P.

doi:10.1007/s11277-016-3693-y

Cited by 4 publications

(4 citation statements)

References 19 publications

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“…Since the channel is shared by D2D transmitters and

{CU}_{Tx}

in underlay mode, interference may occur from both the node. In overlay mode,

D 2 D_{Tx}

transmits with full power, while in underlay mode, it transmits with a controlled power as it shares the given channel with the CU 29 . The channel gain of the links

{CU}_{Tx} - D 2 D_{Rx}

and D2D link

((), D 2 D_{Tx} - D 2 D_{Rx})

are denoted as

g_{cd}

and

g_{dd}

, respectively.…”

Section: System Modelmentioning

confidence: 99%

“…The test statistics for the ED is given as 29

ψ_{ED} ((), y) goodbreak= \sum_{r = 0}^{N - 1} {[y_{r} (τ)]}^{2},

where

ψ_{ED} ((), y)

follows a central chi‐square distribution with

2 N

degrees of freedom.

y_{r} ((), τ)

is the received signal at the D2D receiver, and

x ((), τ)

is the signal transmitted by the CU.…”

Section: System Modelmentioning

confidence: 99%

“…Iqbal et al 28 have studied cognitive D2D networks using a hybrid spectrum access scheme to maintain the QoS requirement for delay‐sensitive and delay‐tolerant users. Verma and Sahu 29 have extended the study of the trade‐off between sensing time and throughput 23 for an energy‐efficient faded CR network. In Verma and Sahu, 29 the sensing performance is optimized to reduce the energy consumption, which in turn maximizes the energy efficiency (EE) of a network.…”

Section: Introductionmentioning

confidence: 99%

“…Verma and Sahu 29 have extended the study of the trade‐off between sensing time and throughput 23 for an energy‐efficient faded CR network. In Verma and Sahu, 29 the sensing performance is optimized to reduce the energy consumption, which in turn maximizes the energy efficiency (EE) of a network. Huang et al 30 have studied the energy‐efficient mode selection strategy in a cellular D2D network.…”

Section: Introductionmentioning

confidence: 99%

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Performance of a cognitive device‐to‐device network in disaster situation under a collision constraint

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Bhowmick

Chandra

et al. 2022

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Summary In this paper, a multi‐hop cognitive radio (CR) enabled device‐to‐device (D2D) network is considered to extend the communication from a functional area (FA) to a non‐functional area (NFA). A D2D user utilizes a cellular user (CU) band in the cognitive mode for information transmission while maintaining the service quality of CUs by satisfying a collision constraint. It transmits with full power in overlay mode, while the power is controlled in underlay mode. We derive the outage probability of the considered D2D network. The main challenge in CR communications lies in the system robustness to uncertainties. In this paper, we also show the impact of the noise power uncertainty in a multi‐hop D2D network. The expressions for throughput and energy efficiency are also developed under collision constraint and noise uncertainty. The outage probability, throughput, and energy efficiency are investigated for several network parameters such as collision probability, sensing time, noise uncertainty, etc. It is observed that the collision constraint and noise uncertainty have significant impacts on network performance. A simulation test‐bed is developed in MATLAB, and the results obtained in the simulation are verified with the analytical results.

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“…Since the channel is shared by D2D transmitters and

{CU}_{Tx}

in underlay mode, interference may occur from both the node. In overlay mode,

D 2 D_{Tx}

transmits with full power, while in underlay mode, it transmits with a controlled power as it shares the given channel with the CU 29 . The channel gain of the links