Relay-Based Spectrum Sharing With Secondary Users Powered by Wireless Energy Harvesting

Zhai, Chao; Liu, Ju; Zheng, Lina

doi:10.1109/tcomm.2016.2542822

Cited by 50 publications

(45 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Protocol II is logical in a scenario where the source node engages in data reception from another node in the network over the second time slot, thereby rendering it unable to transmit [30]. The implementation of the Alamouti coding scheme has been considered in the literature of SWIPT networks in [32], [33]. We assume that the relays harvest energy from the received source signals during Phase-1, which is then used to forward the information to the destination in Phase-2.…”

Section: B Transmission Modelmentioning

confidence: 99%

Performance Analysis of SWIPT Relaying Systems in the Presence of Impulsive Noise

et al. 2018

View full text Add to dashboard Cite

performance. In a SWIPT-enabled system, a wireless node is powered up by a received Radio Frequency (RF) signal and, simultaneously, information processing is carried out using the same signal [2].SWIPT-based relaying was proposed as a promising technique to provide advantages in two fold. First, the network itself can benefit from the relays in throughput improvement, communication reliability enhancement, and coverage range extension. Second, the harvested energy can be used to charge the relay nodes, and therefore, the overall power consumption of the network may be considerably reduced [3], [4]. From this perspective, the theoretical and implementation aspects of SWIPT relay networks have been areas of active research interest (see [5]-[8] and the references therein).Although there has been a growing literature on SWIPT, particularly in the context of relay networks (see e.g., [5]-[8] and the references therein), all research studies were based upon the classical assumption of additive white Gaussian noise (AWGN). However, many communication channels are additionally impaired by impulsive man-made electromagnetic interference or atmospheric noise encountered in various metropolitan and indoor wireless applications, such as, automotive ignition, electronic devices, household appliances, medical equipment, and industrial equipment.[9]- [11]. A practical foreseen scenario of such a situation is future IoTs, for instance, where nodes can be implanted in environments that are susceptible to impulsive noise such as in industrial locations or in fields close to power lines. Although these nodes are envisioned to be powered by RF energy through SWIPT to achieve advantages, such as, dual use of RF signals for information and power transfer, extended network lifetime, etc., their performance in terms of error rate is not yet studied when impulsive noise is considered. Nonetheless, it is considered as a prevalent source of performance degradation. It has been demonstrated in [12] that communication systems designed under the AWGN assumption typically suffer from severe performance degradations when exposed to impulsive noise. This elevates the need for studying the performance of SWIPT systems, which are not only disturbed by multipath fading, but also by impulsive (non-Gaussian) noise, in order to provide pragmatic information for the system designer.Several statistical models have been proposed to approximate the behaviour of impulsive noise, such as Bernoulli-Gauss [13], the symmetric alpha stable distribution [14], and the Middleton's models [15], [16]. However, Middleton's models have been widely accepted to model the effects of impulse noise in communication systems due to its accuracy

show abstract

Section: B Transmission Modelmentioning

confidence: 99%

Performance Analysis of SWIPT Relaying Systems in the Presence of Impulsive Noise

et al. 2018

View full text Add to dashboard Cite

show abstract

“…1. In line with [4]- [6], we assume that the PT, PR, and HAP are connected to external power supplies, while the ST has no embedded power supply. Instead, the ST is equipped with a wireless EH unit and a finite-capacity battery such that it can harvest and accumulate energy from the RF signals transmitted by the PT and HAP.…”

Section: System Modelmentioning

confidence: 99%

“…Moreover, the unlicensed (secondary) users can help relay the licensed (primary) user's information in exchange for permission to transmit their own information using a proportion of the same spectrum. The design and analysis of EH-based cooperative spectrum sharing (CSS) networks have attracted considerable attention in the open literature recently, see e.g., [3]- [6] and references therein.…”

Section: Introductionmentioning

confidence: 99%

“…A time switching-based CSS protocol was examined in [5], where the ST performs EH, information relaying, and its own information transmission in different time durations of each transmission block. In [6], the energy accumulation process at the EH ST was characterized, in which the working modes of the ST depend on its residual energy and the decoding status of the PT's data via the primary direct link.The network frameworks proposed in [4]-[6] are promising since they enable the secondary users to harvest both energy and spectrum from the primary system, which could find considerable applications in existing and upcoming networks with low-energy and low-cost devices. However, the ST in these frameworks is burdened with not only the information relaying for PT(s) but also its own information transmission, which may unduly constrain the network performance.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Full-duplex cooperative cognitive radio networks with wireless energy harvesting

Zhang

Chen

Yeoh

et al. 2017

2017 IEEE International Conference on Communications (ICC)

View full text Add to dashboard Cite

Abstract-This paper proposes and analyzes a new fullduplex (FD) cooperative cognitive radio network with wireless energy harvesting (EH). We consider that the secondary receiver is equipped with a FD radio and acts as a FD hybrid access point (HAP), which aims to collect information from its associated EH secondary transmitter (ST) and relay the signals. The ST is assumed to be equipped with an EH unit and a rechargeable battery such that it can harvest and accumulate energy from radio frequency (RF) signals transmitted by the primary transmitter (PT) and the HAP. We develop a novel cooperative spectrum sharing (CSS) protocol for the considered system. In the proposed protocol, thanks to its FD capability, the HAP can receive the PT's signals and transmit energybearing signals to charge the ST simultaneously, or forward the PT's signals and receive the ST's signals at the same time. We derive analytical expressions for the achievable throughput of both primary and secondary links by characterizing the dynamic charging/discharging behaviors of the ST battery as a finite-state Markov chain. We present numerical results to validate our theoretical analysis and demonstrate the merits of the proposed protocol over its non-cooperative counterpart.

show abstract

“…Energy harvesting has also been studied in the context of multiuser access [9,17,24], MIMO systems [18,19,25], and cognitive radio networks [7,20,26]. In [9], the authors tackled closed-loop SWIPT in a multiuser system, where the optimal time allocation for each user maximizing the sum rate is derived.…”

Section: A Related Workmentioning

confidence: 99%

Optimizing Joint Data and Power Transfer in Energy Harvesting Multiuser Wireless Networks

Khalfi

Hamdaoui

Ghorbel

et al. 2017

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

Energy harvesting emerges as a potential solution for prolonging the lifetime of the energy-constrained mobile wireless devices. In this paper, we focus on Radio Frequency (RF) energy harvesting for multiuser multicarrier mobile wireless networks. Specifically, we propose joint data and energy transfer optimization frameworks for powering mobile wireless devices through RF energy harvesting. We introduce a power utility that captures the power consumption cost at the base station (BS) and the used power from the users' batteries, and determine optimal power resource allocations that meet data rate requirements of downlink and uplink communications. Two types of harvesting capabilities are considered at each user: harvesting only from dedicated RF signals and hybrid harvesting from both dedicated and ambient RF signals. The developed frameworks increase the end users' battery lifetime at the cost of a slight increase in the BS power consumption. Several evaluation studies are conducted in order to validate our proposed frameworks.

show abstract

Relay-Based Spectrum Sharing With Secondary Users Powered by Wireless Energy Harvesting

Cited by 50 publications

References 30 publications

Performance Analysis of SWIPT Relaying Systems in the Presence of Impulsive Noise

Performance Analysis of SWIPT Relaying Systems in the Presence of Impulsive Noise

Full-duplex cooperative cognitive radio networks with wireless energy harvesting

Optimizing Joint Data and Power Transfer in Energy Harvesting Multiuser Wireless Networks

Contact Info

Product

Resources

About