Secure Energy Efficiency for NOMA Based Cognitive Radio Networks With Nonlinear Energy Harvesting

Wang, Dawei; Men, Shaoyang

doi:10.1109/access.2018.2876970

Cited by 64 publications

(35 citation statements)

References 39 publications

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“…In other context of NOMA, the strong primary user (PU) communicates confidential signal with multiple uniformly distributed PUs as external eavesdroppers are randomly located and they provided tractable formula to analyze the security and the reliability performance [36]. By exploiting the practical non-linear EH scheme from the RF signals, the secondary users are be able to harvest energy to securely transmit the secondary privacy information [37]. The authors in [38] presented distributed sequential coalition formation (DSCF) paradigm to solve the user grouping problem, where the primary user's spectrum band can be shared with multiple cognitive users within a group while achieving requirement of the primary user with respect to a minimum rate.…”

Section: A Related Workmentioning

confidence: 99%

NOMA in Cooperative Underlay Cognitive Radio Networks Under Imperfect SIC

Lee

2020

IEEE Access

117

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In conventional cognitive radio (CR), the users in secondary network (SN) can only access the idle spectrum when users in primary network (PN) are absent. This novel strategy provides higher spectrum efficiency when detecting the presence of the PN. Hence, spectrum utilization of the traditional scheme can be further improved as exploiting application of non-orthogonal multiple access (NOMA). As combination of CR and NOMA, such CR-NOMA has been proposed to improve spectrum efficiency to adapt to requirements in 5G communications. In this study, the relaying scheme is employed in the SN of the proposed CR-NOMA and the relay is allowed to energy harvesting (EH) from the secondary transmitter to serve signal forwarding to distant secondary users. With this regard, the complex model of EH-assisted CR-NOMA is explored in outage behavior and throughput performance as awareness on imperfect successive interference cancellation (SIC) at the receiver. As most important results, the exact closed-form of the exact outage probability is derived for each NOMA destination by assuming that the channel coefficients among considered links follow Rayleigh distribution. Furthermore, performance gap between two NOMA users can be controlled by various parameters such as transmit power, energy harvesting coefficients and levels of imperfect SIC. Simulation results verify our analytical results. INDEX TERMS Energy harvesting, imperfect SIC, NOMA, outage probability, underlay cognitive radio.

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Section: A Related Workmentioning

confidence: 99%

NOMA in Cooperative Underlay Cognitive Radio Networks Under Imperfect SIC

Lee

2020

IEEE Access

117

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“…By substituting (20) and (21) into (A1), and analyzing the independent elements in P 2 and P 3 , we can rewrite P 2 as the follows…”

Section: Discussionmentioning

confidence: 99%

“…To maximize the sum secrecy rate of this system, a strategy for optimizing NOMA power-allocation factors was proposed. The authors of [20] studied secrecy energy efficient in a CR-NOMA system with NLEH. This work focused on developing strategies to find the optimal transmit powers of WEH secondary transmitters for given conditions of energy channels.…”

Section: Introductionmentioning

confidence: 99%

Secure Communication in Cooperative SWIPT NOMA Systems with Non-Linear Energy Harvesting and Friendly Jamming

Tuan

Hong

2020

Sensors

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This paper studies the secure communication of a non-orthogonal multiple-access (NOMA) relaying system in the presence of an eavesdropper in which the NOMA communication between a source and two users is assisted by an energy-harvesting (EH) relay. The relay extracts a part of its received signal strength using a power-splitting (PS) policy then harvests energy using a non-linear EH (NLEH) circuit. A friendly jammer sends jamming signals to help secure communication. The jammer is exploited as an additional energy source. A store-and-transmit (SaT) scheme which allows the EH relay to perform energy storing and information transmitting is proposed. For performance evaluation, the closed-form expressions for three metrics, secrecy outage probability (SOP), average achievable secrecy rate (AASR) and average stored energy (ASE) are derived. These results enable studies on the effects of various system parameters, such as NOMA power-allocation factors, target secrecy rates, jammer’s location, and relay’s power levels, on the system performance.

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“…Then, an algorithm using Sequential Convex Approximation (SCA) method was proposed to solve the non-convex fractional programming problem. In [37], a CR-NOMA system model was presented to maximize the minimum secrecy EE considering the practical nonlinear energy harvesting and information security simultaneously. Reference [38] focused on the EE optimization for NOMA based heterogeneous cloud CR network and elaborated promising 5G technologies such as massive MIMO, millimeter-wave communications and Device-to-Device (D2D) communications.…”

Section: Several Wireless Communication System Models Focusing On Ee mentioning

confidence: 99%

Energy Efficiency Optimization for NOMA-Based Cognitive Radio With Energy Harvesting

Wang

Lam

et al. 2019

IEEE Access

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Energy Efficiency (EE) is a significant problem for Cognitive Radio (CR) network. Recently, more interest has focused on EE optimization problem in wireless-powered communication. In conventional CR network, spectrum sensing and limited battery capacity may decrease system performance. In this article, a Non-Orthogonal Multiple Access (NOMA) system with Simultaneous Wireless Information and Power Transfer (SWIPT) for CR network is studied. The frame structure is designed with two subslots. In the downlink subslot, the Secondary Users (SUs) harvest wireless energy from Radio Frequency (RF) signals and sense the spectrum state simultaneously. In the uplink subslot, SUs transmit their independent information to Base Station (BS). Two modes are considered in this article: overlay network and underlay network. A CR-NOMA system model is presented and the approximate expressions of EE for two modes are obtained. Based on the subslot allocation, two optimization problems aiming to maximize EE are formulated. In the overlay network, the constraints are transmit power and total transmission slot. In the underlay network, instead of sensing the spectrum, SUs utilize the channel with primary user (PU) simultaneously. Thus, the constraints of interference threshold and channel gain of PU are also taken into considered. The proposed optimization problems can be regarded as nonlinear fractional programming. The Dinkelbach method is used to transform the nonlinear fractional programming problems into the parametric ones. Simulation results show that there indeed exists a best downlink subslot to maximize the EE of CR-NOMA networks.

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Secure Energy Efficiency for NOMA Based Cognitive Radio Networks With Nonlinear Energy Harvesting

Cited by 64 publications

References 39 publications

NOMA in Cooperative Underlay Cognitive Radio Networks Under Imperfect SIC

NOMA in Cooperative Underlay Cognitive Radio Networks Under Imperfect SIC

Secure Communication in Cooperative SWIPT NOMA Systems with Non-Linear Energy Harvesting and Friendly Jamming

Energy Efficiency Optimization for NOMA-Based Cognitive Radio With Energy Harvesting

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