Prioritizing Data/Energy Thresholding-Based Antenna Switching for SWIPT-Enabled Secondary Receiver in Cognitive Radio Networks

In the present contribution, we propose a novel opportunistic ambient backscatter communication (ABC) framework for radio frequency (RF)-powered cognitive radio (CR) networks. This framework considers opportunistic spectrum sensing integrated with ABC and harvest-then-transmit (HTT) operation strategies. Novel analytic expressions are derived for the average throughput, the average energy consumption and the energy efficiency in the considered set up. These expressions are represented in closed-form and have a tractable algebraic representation which renders them convenient to handle both analytically and numerically. In addition, we formulate an optimization problem to maximize the energy efficiency of the CR system operating in mixed ABC − and HTT − modes, for a given set of constraints including primary interference and imperfect spectrum sensing constraints. Capitalizing on this, we determine the optimal set of parameters which in turn comprise the optimal detection threshold, the optimal degree of trade-off between the CR system operating in the ABC − and HTT − modes and the optimal data transmission time. Extensive results from respective computer simulations are also presented for corroborating the corresponding analytic results and to demonstrate the performance gain of the proposed model in terms of energy efficiency.Index Terms-Ambient backscatter communication, cognitive radio networks, energy detection, energy efficiency, wireless power transfer.

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“…Using the above, and substituting (31) and (32) in (29), and carrying out some algebraic manipulations, one obtains ∂EE(τ, α, µ, ε) ∂ε…”

Section: Appendix a Proof Of Theoremmentioning

confidence: 99%

Opportunistic Ambient Backscatter Communication in RF-Powered Cognitive Radio Networks

Kishore

Gurugopinath

Sofotasios

et al. 2019

2019 IEEE Wireless Communications and Networking Conference (WCNC)

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“…In order to reduce the energy consumption of cognitive systems, in [26], SWIPT provided energy support for secondary users, moreover, the beamforming techniques was proposed to optimize the transmission power. Recently, the authors of [27] and [28] studied the SWIPT in underlay cognitive radio network. Specifically, in [27], the antenna switching (AS) technique was proposed at the receiver of cognitive user, which selected a subset of antennas to harvest the energy and the rest to decode the information.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, the authors of [27] and [28] studied the SWIPT in underlay cognitive radio network. Specifically, in [27], the antenna switching (AS) technique was proposed at the receiver of cognitive user, which selected a subset of antennas to harvest the energy and the rest to decode the information. The cognitive radio inspired NOMA with SWIPT is investigated in [28], where the tradeoff of information-energy was considered under the minimum rate of NOMA users.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency Maximization for Two-Way Relay Assisted CR-NOMA System Based on SWIPT

2019

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Cognitive radio (CR) and non-orthogonal multiple access (NOMA) have been deemed two promising technologies due to their potential to achieve a high spectral efficiency and massive connectivity. In this paper, the energy efficiency (EE) is investigated in a two-way relay assisted cognitive radio non-orthogonal multiple access (CR-NOMA) network. Our objective is to maximize the EE of the SU system subject to harvested energy and the quality of service (QoS) of the users. Specifically, the multiobjective optimization problem is decomposed into three subproblems, i.e., the optimization of transmit power, power allocation, and power splitting ratio, respectively. The problem with optimizing transmit power is non-convex; hence, the Lagrange dual algorithm based on the first-order Taylor series expansion function is proposed to solve it. Besides, the multi-objective iterative algorithm (MOIA) is further proposed to achieve joint optimal solution. The simulation result shows that compared with the traditional OWR, the proposed scheme not only improves the spectral efficiency but also increases the EE of SUs by 45%. INDEX TERMS Cognitive radio, energy efficiency, NOMA, power allocation, two-way relay.

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“…For the SWIPT operation, the work [16] examined colocated receivers which employ a power splitter for energy harvesting (EH) and information decoding (ID). Therefore, it is really important to research the combining SWIPT with CR, which has the dual function of improving both the energy efficiency and spectrum efficiency, and it has attracted more attention in [19][20][21][22][23][24][25][26][27][28]. In SWIPTbased CR system, the energy efficiency optimization was considered in [19,20].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, it is really important to research the combining SWIPT with CR, which has the dual function of improving both the energy efficiency and spectrum efficiency, and it has attracted more attention in [19][20][21][22][23][24][25][26][27][28]. In SWIPTbased CR system, the energy efficiency optimization was considered in [19,20]. Moreover, the SWIPT approach for CR schemes was investigated in cooperative relay networks [21], a thresholding-based antenna selection multiple-input 2 Wireless Communications and Mobile Computing multiple-output (MIMO) systems [22], multiuser MISO system [23][24][25]27], cooperative nonorthogonal multiple access networks [26], and sensing-Based wideband CR [28].…”

Section: Introductionmentioning

confidence: 99%

AN-Aided Transmit Beamforming Design for Secured Cognitive Radio Networks with SWIPT

Zhu

Yuan³

2018

Wireless Communications and Mobile Computing

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We investigate multiple-input single-output secured cognitive radio networks relying on simultaneous wireless information and power transfer (SWIPT), where a multiantenna secondary transmitter sends confidential information to multiple single-antenna secondary users (SUs) in the presence of multiple single-antenna primary users (PUs) and multiple energy-harvesting receivers (ERs). In order to improve the security of secondary networks, we use the artificial noise (AN) to mask the transmit beamforming. Optimization design of AN-aided transmit beamforming is studied, where the transmit power of the information signal is minimized subject to the secrecy rate constraint, the harvested energy constraint, and the total transmit power. Based on a successive convex approximation (SCA) method, we propose an iterative algorithm which reformulates the original problem as a convex problem under the perfect channel state information (CSI) case. Also, we give the convergence of the SCA-based iterative algorithm. In addition, we extend the original problem to the imperfect CSI case with deterministic channel uncertainties. Then, we study the robust design problem for the case with norm-bounded channel errors. Also, a robust SCA-based iterative algorithm is proposed by adopting the S-Procedure. Simulation results are presented to validate the performance of the proposed algorithms.

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Prioritizing Data/Energy Thresholding-Based Antenna Switching for SWIPT-Enabled Secondary Receiver in Cognitive Radio Networks

Cited by 16 publications

References 26 publications

Opportunistic Ambient Backscatter Communication in RF-Powered Cognitive Radio Networks

Opportunistic Ambient Backscatter Communication in RF-Powered Cognitive Radio Networks

Energy Efficiency Maximization for Two-Way Relay Assisted CR-NOMA System Based on SWIPT

AN-Aided Transmit Beamforming Design for Secured Cognitive Radio Networks with SWIPT

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