On Outage Analysis in SWIPT Enabled Bidirectional D2D Communications Using Spectrum Sharing in Cellular Networks

Ghosh, Sutanu; Acharya, Tamaghna; Maity, Santi P.

doi:10.1109/tvt.2020.3003228

Cited by 27 publications

(26 citation statements)

References 19 publications

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“…Moreover, energy harvesting can provide new possibilities for improving the performance of D2D communication [ 20 ], which has been the focus of academia [ 21 , 22 , 23 , 24 , 25 , 26 ]. In [ 21 ], the authors considered a non-linear energy harvesting model and classified the users into the EH group and the non-EH group based on the minimum harvested power threshold.…”

Section: Related Workmentioning

confidence: 99%

“…The authors in [ 24 ] used a stochastic model to derive the ergodic capacity of EH-enabled D2D communication and proposed an effective mode selection method to improve the system EE. The outage issue of EH-based D2D communication has also been widely studied [ 25 , 26 ]. In [ 25 ], the outage probability of D2D links was analyzed considering the spectrum sharing between DUs and CUs.…”

Section: Related Workmentioning

confidence: 99%

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Energy-Efficient Optimization for Energy-Harvesting-Enabled mmWave-UAV Heterogeneous Networks

Zhang

Chuai

Gao

2022

Entropy

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Energy Harvesting (EH) is a promising paradigm for 5G heterogeneous communication. EH-enabled Device-to-Device (D2D) communication can assist devices in overcoming the disadvantage of limited battery capacity and improving the Energy Efficiency (EE) by performing EH from ambient wireless signals. Although numerous research works have been conducted on EH-based D2D communication scenarios, the feature of EH-based D2D communication underlying Air-to-Ground (A2G) millimeter-Wave (mmWave) networks has not been fully studied. In this paper, we considered a scenario where multiple Unmanned Aerial Vehicles (UAVs) are deployed to provide energy for D2D Users (DUs) and data transmission for Cellular Users (CUs). We aimed to improve the network EE of EH-enabled D2D communications while reducing the time complexity of beam alignment for mmWave-enabled D2D Users (DUs). We considered a scenario where multiple EH-enabled DUs and CUs coexist, sharing the full mmWave frequency band and adopting high-directive beams for transmitting. To improve the network EE, we propose a joint beamwidth selection, power control, and EH time ratio optimization algorithm for DUs based on alternating optimization. We iteratively optimized one of the three variables, fixing the other two. During each iteration, we first used a game-theoretic approach to adjust the beamwidths of DUs to achieve the sub-optimal EE. Then, the problem with regard to power optimization was solved by the Dinkelbach method and Successive Convex Approximation (SCA). Finally, we performed the optimization of the EH time ratio using linear fractional programming to further increase the EE. By performing extensive simulation experiments, we validated the convergence and effectiveness of our algorithm. The results showed that our proposed algorithm outperformed the fixed beamwidth and fixed power strategy and could closely approach the performance of exhaustive search, particle swarm optimization, and the genetic algorithm, but with a much reduced time complexity.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Energy-Efficient Optimization for Energy-Harvesting-Enabled mmWave-UAV Heterogeneous Networks

Zhang

Chuai

Gao

2022

Entropy

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“…Relay node harvests the energy from the PU signal by following power splitting (PS) or, time switching (TS) based SWIPT protocols [10]. Performance of unidirectional or bidirectional communications using AF and DF relay aided SWIPT networks are analysed in [11]- [14]. The system outage performances of one-way DF relay assisted communication in CCRN is studied in [11] over a Nakagami fading channel.…”

Section: Introductionmentioning

confidence: 99%

“…On the contrary, in AF relaying, PU signal needs not be decoded at the relaying node, although, it is often considered to be an energy inefficient approach as noise gets amplified by the relay node. The performance improvement of SU communication over [13] is studied in [14] using bidirectional SU communication. Needless to mention that the presence of multiple antennas at the source and/or at the relay nodes in any SWIPT enabled relay assisted commu-nication over fading channel, not only improves the reliability of information transfer but also enhances EH at the latter.…”

Section: Introductionmentioning

confidence: 99%

Outage Analysis in SWIPT Enabled Cooperative AF/DF Relay Assisted Two-Way Spectrum Sharing Communication

Ghosh¹,

Acharya²,

Maity³

2021

Preprint

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<div>This paper reports a relative performance analysis of decode-and-forward (DF) and amplify-and-forward (AF) relaying in a multi-antenna cooperative cognitive radio network (CCRN) that supports device-to-device (D2D) communications using spectrum sharing technique in cellular network. In this work, cellular system is considered as primary and internet of things devices (IoDs), engaged in D2D communications, are considered as secondary system. The devices access the licensed spectrum by means of the cooperation in two-way primary communications. Furthermore, IoDs are energized through the harvesting of energy from radio frequency (RF) signals, using simultaneous wireless information and power transfer (SWIPT) protocol. Closed form expressions of the outage probability for both cellular and D2D communications are derived and the impact of various design parameters for both AF and DF relaying techniques are studied. Based on the simulation results, it is found that the proposed spectrum sharing protocol, for both DF relaying and AF relaying schemes, outperform a similar network architecture in terms of spectrum efficiency. It is also observed that the performance of the proposed system using DF relaying is ~168% better compared to AF relaying scheme in term of peak energy efficiency at same transmit power.</div>

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“…Further, multi-antenna transmission, which is a key feature of modern cellular communication (i,e, LTE, 5G) has not also been explored in above studies. Besides, the usage of dedicated time slot for EH is found to be inefficient technique [8]. Instead, transmission of energy and information at same phase using hybrid power-time switching relaying (HPTSR) protocol [9] is beneficial to achieve high throughput.…”

Section: Introductionmentioning

confidence: 99%

On Outage Analysis in Overlay CCRN With RF Energy Harvesting and Co-Channel Interference

Ghosh

Maity

Acharya

2021

Preprint

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This paper explores the impact of co-channel interference (CCI) on the link outage and radio frequency (RF) energy harvesting (EH). For analysis, co-operative cognitive radio network (CCRN) architecture is considered as system model that supports one-way primary user (PU) and two-way secondary user (SU) communications, using an overlay mode of spectrum sharing. Closed form outage expressions are derived for both PU and SU network in presence of multiple antennas at PUs and CCI at SUs. The effect of CCI on the system performance is studied with respect to interference-to-noise-ratio (INR), transmission power, number of antennas and number of CCI sources. Performance gains are found to achieve ~ 20% and ~ 15% for PU and SU outage in two antenna system over a single antenna one.

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On Outage Analysis in SWIPT Enabled Bidirectional D2D Communications Using Spectrum Sharing in Cellular Networks

Cited by 27 publications

References 19 publications

Energy-Efficient Optimization for Energy-Harvesting-Enabled mmWave-UAV Heterogeneous Networks

Energy-Efficient Optimization for Energy-Harvesting-Enabled mmWave-UAV Heterogeneous Networks

Outage Analysis in SWIPT Enabled Cooperative AF/DF Relay Assisted Two-Way Spectrum Sharing Communication

On Outage Analysis in Overlay CCRN With RF Energy Harvesting and Co-Channel Interference

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