Network-coded primary-secondary cooperation in OFDM-based cognitive multicast networks

Liu, Zhihui; Xu, Wenjun; Li, Shengyu; Lin, Jiaru

doi:10.1186/s13638-015-0367-5

Cited by 9 publications

(8 citation statements)

References 34 publications

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“…Apart from the works mentioned above [5]- [7], the related works mainly center on the following two aspects: researches on non-SWIPT PSC [8]- [13], and researches on SWIPT in traditional relay networks [14]- [19]. In [8] and [9], one PU selects one or more SUs to assist in its data delivery.…”

Section: Related Workmentioning

confidence: 99%

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Simultaneous Information and Power Transfer for Multi-antenna Primary-Secondary Cooperation in Cognitive Radio Networks

Liu¹,

Wen²,

Li³

et al. 2016

ETRI J

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In this paper, cognitive radio and simultaneous wireless information and power transfer (SWIPT) are effectively combined to design a spectrum‐efficient and energy‐efficient transmission paradigm. Specifically, a novel SWIPT‐based primary‐secondary cooperation model is proposed to increase the transmission rate of energy/spectrum constrained users. In the proposed model, a multi‐antenna secondary user conducts simultaneous energy harvesting and information forwarding by means of power splitting (PS), and tries to maximize its own transmission rate under the premise of successfully assisting the data delivery of the primary user. After the problem formulation, joint power splitting and beamforming optimization algorithms for decode‐and‐forward and amplify‐and‐forward modes are presented, in which we obtain the optimal PS factor and beamforming vectors using a golden search method and dual methods. Simulation results show that the proposed SWIPTbased primary‐secondary cooperation schemes can obtain a much higher level of performance than that of non‐SWIPT cooperation and non‐cooperation schemes.

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Section: Related Workmentioning

confidence: 99%

“…The study in [12] further analyzes the physical security in PSC. In addition, our previous paper [13] proposed a network-coded PSC for OFDM-based cognitive multicast networks.…”

Section: Related Workmentioning

confidence: 99%

Simultaneous Information and Power Transfer for Multi-antenna Primary-Secondary Cooperation in Cognitive Radio Networks

Liu¹,

Wen²,

Li³

et al. 2016

ETRI J

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“…Because of high flexibility and capability of spectrum shaping, OFDM can be a perfect choice for the systems working under spectrum pooling provisions . Previous studies investigated OFDM‐based CRNs where the network also benefits from network coding. Orthogonal frequency division multiplexing with PLNC also renders a powerful combination to cope with nonflat fading channels as well as symbol offset problems .…”

Section: Introductionmentioning

confidence: 99%

Achieving maximum bit rate in a cognitive radio network with physical layer network coding

Khosroazad

Abedi

Neda

2018

Int J Communication

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Summary In this paper, the power allocation problem in a relay‐assisted cognitive radio network (CRN) is considered where the secondary users exchange information in an interweave mode on the basis of physical layer network coding. In order to enhance the capacity of CRN, using multiple‐input multiple‐output and orthogonal frequency division multiplexing has become very popular in the literature. This paper goes one step further to improve the throughput of secondary users using physical layer network coding by drawing off the transmission time. The main goal is to maximize the capacity of CRN, while keeping the total interference imposed on the primary users under a certain threshold. An optimal solution to this power allocation problem with limited relay power constraint, due to the limited budget, is derived; however, because of the high complexity of this method, an efficient suboptimal solution is also proposed.

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“…Spectrum efficiency can be enhanced by a pplying NC in CRNs. The authors in [6] proposed a scheme in which NC, Orthogonal Frequency Division Multiplexing (OFDM), and multicast are combined efficiently to increase spectrum efficiency for future 5G systems.…”

Section: Se-ee Trade-offmentioning

confidence: 99%

Maximization of Energy Efficiency and Trade Off of Energy Efficiency

Patel¹

2017

IJRASET

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INTRODUCTION The significant growth in wireless communication e.g. CDMA, GSM, 3G, 4G, 5G network etc. has resulted in growing demand of ene rgy consumption [1]. As the device switch from lower speed of network to higher, the energy consumption gets approximately double on each next evolution as shown in bar graph 1.1. Because of limited battery capacity, the cellular network demands an EE transmissi on scheme. It is claimed that battery capacity has only increased by 80% within the last decade, while the processor performance doub les every 1, 5 year [2]. Only around 10% of the entire consumption is associated with the end user equipment, while the remaining 90 % is taken up by network components of which around 2/3 is used by the BS. This means that a BS consumes more than 60% of its pe ak consumption even in periods of idle operation. Therefore, strategically turning-off some of the base stations during the off peak hou rs promises a great potential to improve the system's energy efficiency. The energy consumption of UT based on what kind of service they are operating like video, audio, data etc. The energy consumption also depends on the bandwidth used by the service being used by UT. Cell phone technology has grown exponentially in the decade. The value of Power Density (PD) at public exposure zone shoul d not greater then f/200 watt/ for 400-2000 MHz band. Due to this requirement of energy the higher evolutions e.g. 4G LTE operated devices restricted to certain locations. 4G LTE devices are expected to support higher data rates and multi standard radio interfaces (U MTS, LTE, and Wi-Fi, Bluetooth etc.) to provide streaming connection. This demand of high speed connection achieved at the cost o f higher energy consumption. The organisation of the paper is as follows: at first we discuss about the network model, after that we de scribe the impact of various transmission parameters which are responsible for impact on cellular network, than problem of cellular ne twork has described, the remaining portion of this paper is about to the methodology or process, and at the end we conclude the whole discussion.

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Network-coded primary-secondary cooperation in OFDM-based cognitive multicast networks

Cited by 9 publications

References 34 publications

Simultaneous Information and Power Transfer for Multi-antenna Primary-Secondary Cooperation in Cognitive Radio Networks

Simultaneous Information and Power Transfer for Multi-antenna Primary-Secondary Cooperation in Cognitive Radio Networks

Achieving maximum bit rate in a cognitive radio network with physical layer network coding

Maximization of Energy Efficiency and Trade Off of Energy Efficiency

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