Optimal power allocation in cognitive networks using non-orthogonal AF relays

Elsaadany, Mahmoud

doi:10.1109/lcn.2014.6925804

Cited by 7 publications

(6 citation statements)

References 12 publications

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“…In this paper, we aim to maximize the energy efficiency of NSCRS through optimally allocating the time and energy resource of PU s and CUs. According to (18), the energy efficiency optimization problem of NSCRS can be formulated as…”

Section: Problem Formulation For Nscrs With Privacy Preservingmentioning

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. 2020

Preprint

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Energy efficiency and privacy preserving have become essential for the wireless sensor networks. In the previous work, an optimal power allocation algorithm was investigated for a non-selfish symbiotic cognitive relaying scheme (NSCRS) in the sensor network with coexistence of a primary user (PU) and cognitive users (CUs). However, the optimal strategy of energy and time resource allocation as well as the privacy preserving was not considered. In this paper, we further consider the joint energy and time resource allocation problem for the cognitive users in NSCRS to maximize the overall capacity of the primary user and cognitive users with the consideration of information privacy under the energy constraints of cognitive users. With full channel state information (CSI), i.e., PU s -PU d , PU s -CUs and CUs-PU d , an optimal energy and time resource allocation algorithm is proposed based on the exhaustive searching. In order to reduce the overhead of CSI feedback, a suboptimal algorithm, in which only the instantaneous CSI of PU s -PU d , the instantaneous CSI of PU s -CUs and an averaged CSI of CUs-PU d by long term observation rather than an instantaneous value of CSI of CUs-PU d are required, is additionally proposed. Simulation results demonstrate the energy efficiency of primary and cognitive users in the NSCRS with consideration of information privacy can be greatly improved by the proposed algorithms.

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Section: Problem Formulation For Nscrs With Privacy Preservingmentioning

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. 2020

Preprint

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show abstract

“…Therefore, the optimal solution x opt should satisfy the total interference constraint with equality, i.e., x T opt Cx opt = I max . Now, we use the quadratic form σ 2 D Imax x T Cx to replace σ 2 D in (13). Using this substitution, we obtain a homogenous form of the objective function as follows…”

Section: Appendixmentioning

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%

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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“…Besides, a novel connectivity-aware approximation algorithm for best relay node placement was proposed to offer a major step forward in saving system overhead in the wireless sensor networks [15]. And a non-orthogonal AF (NAF) scheme, where all the relays were allowed to transmit signals in the same time and frequency simultaneously, was considered and a higher spectral efficiency could be achieved compared to the orthogonal AF scheme [16][17][18]. However, the EE as well as transmission model with privacy preserving was not considered in [5][6][7][8][9][10][11][12][13][14][15][16][17][18].…”

mentioning

confidence: 99%

“…And a non-orthogonal AF (NAF) scheme, where all the relays were allowed to transmit signals in the same time and frequency simultaneously, was considered and a higher spectral efficiency could be achieved compared to the orthogonal AF scheme [16][17][18]. However, the EE as well as transmission model with privacy preserving was not considered in [5][6][7][8][9][10][11][12][13][14][15][16][17][18].…”

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.

show abstract

Optimal power allocation in cognitive networks using non-orthogonal AF relays

Cited by 7 publications

References 12 publications

Energy-Efficient Time and Energy Resource Allocation in Non-selfish Symbiotic Cognitive Relaying Sensor Network with Privacy Preserving for Smart City

Energy-Efficient Time and Energy Resource Allocation in Non-selfish Symbiotic Cognitive Relaying Sensor Network with Privacy Preserving for Smart City

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

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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