Time-Switching EH-Based Joint Relay Selection and Resource Allocation Algorithms for Multi-User Multi-Carrier AF Relay Networks

Gupta, Ankit; Singh, Keshav; Sellathurai, Mathini

doi:10.1109/tgcn.2019.2906616

Cited by 37 publications

(38 citation statements)

References 37 publications

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“…In TS-based SWIPT protocol, the relay harvests power from an energy signal sent by the source and receives the source transmitted information signal in two different time phases, whereas, in PS-based SWIPT, the received source signal is split into two signal streams to perform energy harvesting and information processing. Initially, SWIPT-aided two-hop relaying systems incorporate half-duplex (HD) transmission and traditional linear energy harvesting (EH) model [7]- [12]. The traditional linear EH model assumes that the output power of an energy harvester is linearly dependent on its input power.…”

Section: Introductionmentioning

confidence: 99%

“…In [11], the authors derive the analytical expressions of the achievable throughput and ergodic capacity of an HD-DF relaying network for both TS and PS schemes. [12] studies an energy efficiency maximization (EEM) optimization problem for the multi-user multi-carrier energy-constrained HD-AF multirelay network under the total source transmit power budget and energy-causality constraints. However, the limitation of the aforementioned relaying SWIPT systems to HD transmission results in loss of spectral efficiency.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of Full-Duplex Relaying System With Non-Linear Energy Harvester

Kazmi

Coleri

2020

IEEE Access

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Simultaneous wireless information and power transfer (SWIPT) is a promising technique to prolong the lifetime of energy constrained relay-based systems. Most of the existing literature on relaybased SWIPT systems incorporate linear energy harvesting (EH) model. This paper incorporates a nonlinear EH model into the full-duplex (FD) amplify-and-forward (AF) relay-based system for the first time in the literature. We consider a practical non-linear energy harvester model namely constant-linear-constant (CLC) EH model, which takes into account the sensitivity and saturation characteristics of the EH circuit. First, the end-to-end outage probability of the system is derived for the time-switching (TS) based relay protocol. To prevent the outage performance degradation, the outage throughput and energy efficiency (EE) of the system is maximized by optimizing the TS parameter. Since the formulated problems are convex in nature, the golden-section method is used to find the optimal TS solution. Numerical results reveal the significance of employing a non-linear EH model by demonstrating the difference of the proposed model from the traditional linear EH model system and importance of using full-duplex relay by showing large performance gain over half-duplex relay-based (HDR) system, in terms of outage probability, throughput, and EE.INDEX TERMS Amplify-and-forward (AF) relay, energy harvesting (EH), full-duplex (FD) system, outage probability.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization of Full-Duplex Relaying System With Non-Linear Energy Harvester

Kazmi

Coleri

2020

IEEE Access

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“…According to literature, most of the SWIPT systems are implemented based on the power splitter (PS) 18‐20 or time switching (TS) 21‐23 mode receiver architecture. The transmitter is designed to deliver both wireless energy and information to the receiver.…”

Section: Related Workmentioning

confidence: 99%

Joint time‐slot and power allocation algorithm for data and energy integrated networks supporting internet of things (IoT)

Zhang

Yang

Fan

2021

Int J Communication

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Summary IoT is an essential enabler for smart cities and smart society. However, its deployment at large scale faces a big challenge: battery replacement as most IoT devices are battery‐powered or even battery‐less. In a hostile environment, it is infeasible to replace batteries. Radio frequency (RF)‐enable wireless energy transfer (WET) is a promising technology to solve this problem. Since RF is also used for wireless data communication, a data and energy integrated network (DEIN) is the way forward. Based on the DEIN technology, a time allocation model is designed in this paper to manage the RF energy and uplink data transmission in different time slots. In the IoT scenario, the DEIN's primary service is to collect environmental information such as temperature, humidity, and luminance. Therefore, the uplink data transmission of the battery‐powered/battery‐less IoT nodes deserves more attention. To increase the uplink data transmission in case of consuming less energy in the DEIN system, we propose a joint time slot and power allocation algorithm to minimize the system's consumed energy for transmitting per bit of uplink data. It aims to maximize the efficiency of the DEIN system's energy utilization, which helps to achieve an energy‐efficient DEIN.

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“…To consider the energy arrival profiles and the energy cooperation between EH nodes, a joint power control and transfer is designed to maximize the total data rate, subject to energy causality and battery storage constraints. With the total source transmission power budget and energy-causality constraints, the authors in [34] formulated an energy efficiency maximization (EEM) optimization problem for the multi-user multicarrier energy-constrained amplify-and-forward (AF) multi-relay network. Under the simultaneous wireless information and power transfer (SWIPT) model, each forwarding node is solely powered by the source nodes, employing an energy harvesting time-switching (EHTS) scheme to harvest the energy via the radio-frequency (RF) signal transmitted from the source nodes.…”

Section: Wireless Power Transfermentioning

confidence: 99%

Joint Balanced Routing and Energy Harvesting Strategy for Maximizing Network Lifetime in WSNs

Tala't

Chiu

et al. 2019

Energies

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Nowadays, wireless sensor networks (WSNs) are becoming increasingly popular due to the wide variety of applications. The network can be utilized to collect and transmit numerous types of messages to a data sink in a many-to-one fashion. The WSNs usually contain sensors with low communication ability and limited battery power, and the battery replacement is difficult in WSNs for large amount embedded nodes, which indicates a balanced routing strategy is essential to be developed for an extensive operation lifecycle. To realize the goal, the research challenges require not only to minimize the energy consumption in each node but also to balance the whole WSNs traffic load. In this article, a Shortest Path Tree with Energy Balance Routing strategy (SPT-EBR) based on a forward awareness factor is proposed. In SPT-EBR, Two methods are presented including the power consumption and the energy harvesting schemes to select the forwarding node according to the awareness factors of link weight. First, the packet forwarding rate factor is considered in the power consumption scheme to update the link weight for the sensors with higher power consumption and mitigate the traffic load of hotspot nodes to achieve the energy balance network. With the assistance of the power consumption scheme, hotspot nodes can be transferred from the irregular location to the same intra-layer from the sink. Based on this feature, the energy harvesting scheme combines both the packet forwarding rate and the power charging rate factors together to update the link weight with a new battery charging rate factor for hotspot nodes. Finally, simulation results validate that both power consumption and energy harvesting schemes in SPT-EBR achieve better energy balance performance and save more charging power than the conventional shortest path algorithm and thus improve the overall network lifecycle.

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Time-Switching EH-Based Joint Relay Selection and Resource Allocation Algorithms for Multi-User Multi-Carrier AF Relay Networks

Cited by 37 publications

References 37 publications

Optimization of Full-Duplex Relaying System With Non-Linear Energy Harvester

Optimization of Full-Duplex Relaying System With Non-Linear Energy Harvester

Joint time‐slot and power allocation algorithm for data and energy integrated networks supporting internet of things (IoT)

Joint Balanced Routing and Energy Harvesting Strategy for Maximizing Network Lifetime in WSNs

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