Outage Performance of Underlay Multihop Cognitive Relay Networks With Energy Harvesting

Xu, Chi; Zheng, Meng; Liang, Wei; Yu, Haibin; Liang, Ying‐Chang

doi:10.1109/lcomm.2016.2547985

Cited by 93 publications

(79 citation statements)

References 13 publications

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“…(2) is commonly referred as the energy causality constraint [14]. In addition, to protect the PU-R, we also consider the primary interference constraint imposed by the PU-R Pr…”

Section: Network Modelmentioning

confidence: 99%

“…Taking the expected value of the numerator and denominator in (5) with respect to the Rayleigh fading when P s = P * s gives We define η = τ T which is known as the harvesting ratio [14] [15]. Then, problem (8) has a simplified but equivalent form…”

Section: Network Modelmentioning

confidence: 99%

“…According to the coexistence paradigm, the existing works on RF-CRNs can be classified into three categories, namely, interweave [7]- [9], overlay [11]- [13] and underlay [14]- [16]. In the interweave paradigm, secondary users (SUs) first harvest energy and then opportunistically access the licensed spectrum when primary users (PUs) are detected as inactive [7]- [9].…”

Section: Introductionmentioning

confidence: 99%

“…In the overlay paradigm, SUs use the harvested energy from the PU signal to forward the data of both PUs and SUs, provided that perfect cooperations between PUs and SUs [11]- [13] are assumed. In the underlay paradigm, SUs harvest energy from the RF signal of PUs or other SUs, and transmit with the harvested energy provided the interference to PUs is below a tolerable threshold [14]- [16]. Moreover, reference [17] proposes a hybrid overlay-underlay access scheme for cognitive radios by combining the virtues of two paradigms.…”

Section: Introductionmentioning

confidence: 99%

“…Different from [14] which needs extra power beacons to power RF-CRs, in this paper PU acts as an energy source and interference to the RF-CR simultaneously, as a result of which the studied harvesting-transmitting optimization becomes more complicated and challenging. Although [15] also studies the harvesting-transmitting optimization problem for one RF-CR, this paper generalizes [15] by considering Rayleigh fading during the wireless energy harvesting and the secondary transmission processes.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Resource Allocation for an Underlay Wireless Powered Cognitive Radio

Song¹,

Zheng²

2017

2017 IEEE 85th Vehicular Technology Conference (VTC Spring)

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Abstract-This paper investigates an underlay cognitive radio (CR) that extracts energy from radio-frequency signals of one primary user. We assume that both the wireless energy harvesting and the secondary transmission processes of the CR suffer Rayleigh block fading. Considering the intrinsic harvesting-transmitting tradeoff, we optimize the harvesting time and transmit power of the CR to minimize the outage probability of the secondary transmission, subject to the primary interference and the energy causality constraints. Numerical evaluation validates the correctness of this work.

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“…(2) is commonly referred as the energy causality constraint [14]. In addition, to protect the PU-R, we also consider the primary interference constraint imposed by the PU-R Pr…”

Section: Network Modelmentioning

confidence: 99%

Section: Network Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Resource Allocation for an Underlay Wireless Powered Cognitive Radio

Song¹,

Zheng²

2017

2017 IEEE 85th Vehicular Technology Conference (VTC Spring)

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A joint sensing and transmission power control policy for RF energy harvesting cognitive radio networks

Yan

Zhao

et al. 2018

Int J Communication

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Summary We consider a radio frequency energy harvesting cognitive radio network in which a secondary user (SU) can opportunistically access channel to transmit packets or harvest radio frequency energy when the channel is idle or occupied by a primary user. The channel occupancy state and the channel fading state are both modeled as finite state Markov chains. At the beginning of each time slot, the SU should determine whether to harvest energy for future use or sense the primary channel to acquire the current channel occupancy state. It then needs to select an appropriate transmission power to execute the packet transmission or harvest energy if the channel is detected to be idle or busy, respectively. This sequential decision‐making, done to maximize the SU's expected throughput, requires to design a joint spectrum sensing and transmission power control policy based on the amount of stored energy, the retransmission index, and the belief on the channel state. We formulate this as a partially observable Markov decision process and use a computationally tractable point‐based value iteration algorithm. Section 5 illustrate the significant outperformance of the proposed optimal policy compared with the optimal fixed‐power policy and the greedy fixed‐power policy.

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End‐to‐end security‐reliability analysis of multi‐hop cognitive relaying protocol with TAS/SC‐based primary communication, total interference constraint and asymmetric fading channels

Nam

Duy

2018

Int J Communication

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In this paper, we analyze the tradeoff between outage probability (OP) and intercept probability (IP) for a multi-hop relaying scheme in cognitive radio (CR) networks. In the proposed protocol, a multi-antenna primary transmitter (PT) communicates with a multi-antenna primary receiver (PR), using transmit antenna selection (TAS) / selection combining (SC) technique, while a secondary source attempts to transmit its data to a secondary destination via a multi-hop approach in presence of a secondary eavesdropper. The secondary transmitters such as source and relays have to adjust their transmit power to satisfy total interference constraint given by PR. We consider an asymmetric fading channel model, where the secondary channels are Rician fading, while the remaining ones experience the Rayleigh fading. Moreover, an optimal interference allocation method is proposed to minimize OP of the primary network. For the secondary network, we derive exact expressions of end-to-end OP and IP which are verified by Monte Carlo simulations. KEYWORDSasymmetric fading channels, cognitive radio, multi-hop relaying protocol, security-reliability analysis Int J Commun Syst. 2019;32:e3854.wileyonlinelibrary.com/journal/dac dual-hop asymmetric fading channels. In, 14-17 multi-hop CR scenarios were studied, where the secondary source has to transfer information via several intermediate hops to the secondary destination.Recently, physical layer security (PLS) 18-20 has gained much attention of researchers. The PLS mechanism exploits physical channel characteristics (ie, random and noisy nature of wireless channels) in order to prevent the eavesdropper from intercepting transmission messages on wireless medium. Performance of the PLS-based systems is conventionally evaluated via average secrecy capacity (ASC), secrecy outage probability (SOP), and probability of non-zero secrecy capacity (PNSC). In, 21-23 security-reliability tradeoffs for secure communication systems were investigated, where the security and reliability are quantified in terms of intercept probability (IP) by an eavesdropper and the outage probability (OP), and by an intended receiver, respectively. In, 24 the authors proposed an opportunistic relay selection method to enhance the trade-off between security and reliability for random dual-hop CR networks. The authors of 25 evaluated the security-reliability tradeoff for energy-harvesting underlay CRs system, where cognitive base stations can harvest energy from their surrounding environments for the data transmission. In, 26-29 the authors investigated performances of secure multi-hop relaying networks. In the cooperative relaying approaches, the authorized transmitters often use randomize-and-forward (RF) technique 30,31 to randomly generate codebook so that the eavesdropper cannot combine the transmitted data with maximal ratio combining (MRC).Until now, almost published works related to the security versus reliability study have considered one-hop or dual-hop relaying networks. Motivated by this, we propose a novel m...

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Outage Performance of Underlay Multihop Cognitive Relay Networks With Energy Harvesting

Cited by 93 publications

References 13 publications

Resource Allocation for an Underlay Wireless Powered Cognitive Radio

Resource Allocation for an Underlay Wireless Powered Cognitive Radio

A joint sensing and transmission power control policy for RF energy harvesting cognitive radio networks

End‐to‐end security‐reliability analysis of multi‐hop cognitive relaying protocol with TAS/SC‐based primary communication, total interference constraint and asymmetric fading channels

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