Sensing throughput trade‐off for an energy efficient cognitive radio network under faded sensing and reporting channel

Self Cite

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.

“…It is assumed that the idle and busy states of CU are distributed exponentially with mean values,

α_{0}

and

α_{1}

, under hypotheses,

H_{0}

and

H_{1,}

respectively. The probability density functions of idle state and busy state can be written as 23

P_{I} ((), t) goodbreak= α_{1}^{- 1} \exp^{(- \frac{t}{α_{1}})},

P_{B} ((), t) goodbreak= α_{0}^{- 1} \exp^{(- \frac{t}{α_{0}})} .

…”

Section: System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Ghosh

Bhowmick

Chandra

et al. 2022

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“…EE was evaluated in a CR system considering the Rayleigh fading both in the sensing and reporting channels. 14 Hasan et al proposed a novel distributive heuristic channel assignment (DHCA) approach to maximize the throughput under the constraint of minimum queuing delay in. 15 In, 16 EE in the centralized cognitive radio network (CRN) was maximized by using Particle Swarm Optimization (PSO) algorithm considering the spectrum switching delay and minimum rate requirement.…”

Section: Introductionmentioning

confidence: 99%

A novel approach for energy‐efficient resource allocation in double threshold‐based cognitive radio network

Das

2016

Summary This paper mainly focuses on solving the energy efficiency (EE) maximization problem in double threshold‐based soft decision fusion (SDF) cooperative spectrum sensing (CSS) in the cognitive radio network (CRN). The solution to this objective problem starts with the selection of suitable secondary users (SUs) both for the spectrum sensing and data transmission. Here, energy efficiency is maximized under the constraints of interference to the primary user (PU), an acceptable outage of SUs, the transmission power of the SUs and the probability of false alarm. We propose a novel algorithm called iterative Dinkelbach method (IDM) which jointly optimizes the sensing time and transmission power allocation to the SUs. Further, Lagrangian duality theorem is employed to find the exact power assigned to the SUs. Finally, simulation results are carried out to validate the effectiveness of our proposed scheme by comparing with the other existing schemes. The performance is also analyzed for different system parameters.

“…The throughput of a CRN in fading channel is also investigated in literature. [7][8][9] Moreover, to make the communication green, EH-based communication has gained a point of research interest in recent days. The EH scheme often eliminates energy constraints in wireless systems.…”

mentioning

confidence: 99%

Throughput analysis in censoring‐based cooperative cognitive radio network with energy harvesting

Das

Saha

Bhowmick

et al. 2023

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Summary An energy harvesting (EH) and cooperative cognitive radio (CR) network (CRN) is studied in this paper where CR users transmit data through a primary user (PU) channel if the channel remains idle, else an optimal number CRs helps in transmission of PU. To achieve the optimum number of CRs (ONCR) involved in cooperation, a novel scheme based on a combination of channel censoring and total error is proposed. The performance of the proposed scheme is investigated under RF harvesting scenario. The EH is dependent on sensing decision and a CR source harvests energy from PU's RF signal. The harvested energy (HE) is split into two parts: One part is used by the CR network (CRN) for its own transmission, and the other part is used for supporting PU. The effect of the energy allocation factor on total throughput is also investigated. New expressions for optimal number of CRs and throughput are developed. The effect of network parameters such as sensing time, censoring threshold, and energy allocation parameter (EAP) on throughput is investigated. Impact of distance between nodes is also studied.