Performance Analysis of Non-Orthogonal AF Relaying in Cognitive Radio Networks

Elsaadany, Mahmoud; Hamouda, Walaa

doi:10.1109/lwc.2015.2421910

Cited by 10 publications

(7 citation statements)

References 11 publications

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“…We propose solving P3 through the following steps. The first step is to find the solution for the problem while relaxing the constraint in (15). Next, we find an algorithm to force the satisfaction of (15) on the obtained solution.…”

Section: Proposed Power Allocation Algorithmmentioning

confidence: 99%

“…In [12], a study of the secondary network throughput scaling with the number of relays is conducted while relays either cooperate with full transmission power or do not cooperate at all. Apart from this binary power allocation scheme, beamforming and optimal power allocation are exploited to enhance the performance of cognitive users in [13]- [15]. In [16], performance studies for the multiple-relay cognitive network while nulling the interference generated from the relays to the primary user using zero-forcing beamforming are conducted for both DF and AF relaying.…”

Section: Introductionmentioning

confidence: 99%

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Enhancing the Performance of Amplify-and-Forward Cognitive Relay Networks: A Multiple-Relay Scenario

Elsaadany

Hamouda

2014

2015 IEEE Global Communications Conference (GLOBECOM)

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In this paper, we address the problem of maximizing the received signal-to-noise ratio (SNR) of a relay-assisted secondary network. In particular, a pair of cognitive radio nodes communicate through a cluster of K non-orthogonal amplifyand-forward relays sharing the spectrum of a primary network in an underlay fashion. The interference at the primary receiver due to cognitive nodes transmissions must be below a tolerable level leaving the primary activity unaffected. We formulate an optimization problem to choose the transmission power of the secondary transmitter and the relays while adhering to the interference constraint on the primary network and imposing a maximum limitation upon the power consumption at every secondary node. While the optimization problem is nonconvex, we propose a simple iterative algorithm to achieve the solution. We present the performance of the proposed power allocation for different system parameters. Simulation results reveal a significant improvement of the achievable throughput of the proposed power allocation over equal power allocation.Index Terms-Underlay cognitive networks, non-orthogonal relaying, power allocation.

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Section: Proposed Power Allocation Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Enhancing the Performance of Amplify-and-Forward Cognitive Relay Networks: A Multiple-Relay Scenario

Elsaadany

Hamouda

2014

2015 IEEE Global Communications Conference (GLOBECOM)

Self Cite

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“…The performance of CCRNs networks was studied widely in [14][15][16][17][18][19][20]. Specifically, the outage probability (OP) of the cognitive radio non-orthogonal multiple access (NOMA) networks was derived in [14].…”

Section: Introductionmentioning

confidence: 99%

“…Lee et al in [16] addressed the minimization of the number of feedback bits required in order to satisfy the QoS in both primary and secondary networks. The optimal power allocation of non-orthogonal amplify-and-forward (AF) relaying of underlay CRNs was provided in [17] to maximize the system throughput. In [18], the capacity of voice over IP (VoIP) in CRNs was analyzed and maximized by modelling the VoIP traffic and channel coefficients as a Markov-modulated Poisson process.…”

Section: Introductionmentioning

confidence: 99%

Outage Analysis of the Power Splitting Based Underlay Cooperative Cognitive Radio Networks

Tin

Phan

Nguyen

et al. 2021

Sensors

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In the present paper, we investigate the performance of the simultaneous wireless information and power transfer (SWIPT) based cooperative cognitive radio networks (CCRNs). In particular, the outage probability is derived in the closed-form expressions under the opportunistic partial relay selection. Different from the conventional CRNs in which the transmit power of the secondary transmitters count merely on the aggregate interference measured on the primary networks, the transmit power of the SWIPT-enabled transmitters is also constrained by the harvested energy. As a result, the mathematical framework involves more correlated random variables and, thus, is of higher complexity. Monte Carlo simulations are given to corroborate the accuracy of the mathematical analysis and to shed light on the behavior of the OP with respect to several important parameters, e.g., the transmit power and the number of relays. Our findings illustrate that increasing the transmit power and/or the number of relays is beneficial for the outage probability.

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“…However, due to the limited power supply for sensor nodes, energy efficiency of relay assisted WSN has attracted more and more attention [3,4]. In addition, owing to better spectrum efficiency via relays with cognitive function, the radio resource management for EE of cognitive relay assisted WSN with privacy preserving is valuable for researching.Owing to a larger service coverage and a higher system capacity at a relatively low deployment cost, relays had been widely considered into WSN to prolong the lifetime of network [5][6][7][8][9][10]. There are usually two kinds of relays, amplify-and-forward (AF) relay and decoded-and-forward (DF) relay.…”

mentioning

confidence: 99%

Energy-efficient time and energy resource allocation in non-selfish symbiotic cognitive relaying sensor network with privacy preserving for smart city

Liu

Gao

et al. 2021

J Wireless Com Network

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Energy efficiency and privacy preserving have become essential for the wireless sensor networks. In this paper, a joint energy and time resource allocation problem for the cognitive users (CUs) in a non-selfish symbiotic cognitive relaying scheme (NSCRS) is considered. We aim to maximize the total energy efficiency (EE) of the primary user and CUs with the consideration of information privacy under the total energy constraints of CUs. With full channel state information (CSI), an optimal energy and time resource allocation algorithm is proposed based on the exhaustive searching. Besides, in order to reduce the overhead of CSI feedback, a suboptimal algorithm, in which only the partial instantaneous CSI is required, is additionally proposed. Simulation results demonstrate the EE of primary and CUs in the NSCRS with consideration of information privacy can be greatly improved by the proposed algorithms.

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Performance Analysis of Non-Orthogonal AF Relaying in Cognitive Radio Networks

Cited by 10 publications

References 11 publications

Enhancing the Performance of Amplify-and-Forward Cognitive Relay Networks: A Multiple-Relay Scenario

Enhancing the Performance of Amplify-and-Forward Cognitive Relay Networks: A Multiple-Relay Scenario

Outage Analysis of the Power Splitting Based Underlay Cooperative Cognitive Radio Networks

Energy-efficient time and energy resource allocation in non-selfish symbiotic cognitive relaying sensor network with privacy preserving for smart city

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