Optimal Resource and Power Allocation With Relay Selection for RF/RE Energy Harvesting Relay-Aided D2D Communication

Salim, Mahmoud M.; Wang, Desheng; Liu, Yingzhuang; El-Sayed, Hesham; Elaziz, Mohamed E. Abd

doi:10.1109/access.2019.2924026

Cited by 30 publications

(27 citation statements)

References 59 publications

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“…References [32] and [33] studied wirelesspowered two-way relay network, where [32] selected a best relay at the destination in energy-harvesting amplify-andforward (EH-AF) protocol and energy-harvesting decodeand-forward (EH-DF) protocol technologies to maximize the end-to-end achievable secrecy rates, [33] investigated the relay system with a cooperative jammer to maximize the minimum guaranteed secrecy capacity in the existence of multiple eavesdroppers. Multiple relays capable of harvesting energy from RF signals were employed in [25], [26], [34], where [25] proposed a centralized scheme and a distributed sub-optimal scheme in a game theoretic approach, and [26] focused on the performance analysis of energy-harvesting relay-aided cooperative network under slow fading channels from a perspective of outage behavior. Moreover, [34] investigated the AF and compress-and-forward (CF) relay networks with energy-harvesting untrusted relay nodes, and derived the achievable secrecy rate for two scenarios.…”

Section: Introductionmentioning

confidence: 99%

“…Multiple relays capable of harvesting energy from RF signals were employed in [25], [26], [34], where [25] proposed a centralized scheme and a distributed sub-optimal scheme in a game theoretic approach, and [26] focused on the performance analysis of energy-harvesting relay-aided cooperative network under slow fading channels from a perspective of outage behavior. Moreover, [34] investigated the AF and compress-and-forward (CF) relay networks with energy-harvesting untrusted relay nodes, and derived the achievable secrecy rate for two scenarios. To be more practical, [35]- [38] extended the researches to nonlinear EH model, where [35] considered the wirelessly powered two-way communication, and [36] analyzed the performance of wireless powered AF relaying over Nakagamim fading channels.…”

Section: Introductionmentioning

confidence: 99%

“…Because two time slots are required to transmit source signal from S to D via R i , such that (1 − α) T /2 is used to transmit information from S to R i , and the remaining (1 − α) T /2 is used to transmit information from R i to D. Here, we assume that each relay will use up all of the energy they have harvested and will harvest it again in the next T duration just as they have done in the previous T duration. However, it will be more valuable and practical to investigate the energy accumulation for the unselected relays in the next T duration [26], [34], which is a novel research direction in the future. Besides, it is also a noteworthy point to extend our work to the nonlinear EH model [35]- [38].…”

Section: Introductionmentioning

confidence: 99%

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Security Performance Analysis for Best Relay Selection in Energy-Harvesting Cooperative Communication Networks

et al. 2020

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In this paper, we investigate an energy-harvesting cooperative communication network, which comprises of a source, a destination, and multiple decode-and-forward (DF) relays in the presence of multiple passive eavesdropper (Es). Es attempt to intercept confidential information transmissions from the source to destination via DF relays. In this network, all the DF relays harvest energy from radio-frequency (RF) signals of a source through time-switching receivers. In order to improve the physical layer security of energyharvesting cooperative communication networks, we propose a best relay selection (BRS) scheme, where the ''best'' relay is chosen to assist the source-destination transmission. For the purpose of comparison, we consider the classic direct transmission (DT) and equal relay selection (ERS) as benchmark schemes. We derive the exact closed-form expressions of outage probability (OP) and intercept probability (IP) for the ERS and BRS schemes over Rayleigh fading channels. Besides, the security-reliability tradeoff (SRT) is analyzed as a metric to evaluate the tradeoff performance of the proposed BRS scheme. Numerical results show that the SRT of the BRS scheme consistently outperforms that of the ERS scheme, which demonstrates the advantage of our proposed scheme against eavesdroppers. Besides, it is verified that total error rate (TER) defined as the sum of OP and IP can be minimized for both the ERS and BRS schemes through changing the time allocation factor between information transmission and energy harvesting phases. Moreover, there is a best energy conversation efficiency to obtain a maximal SRT value of the ERS and BRS schemes. In addition, as the number of DF relays increases, the SRT of BRS scheme improves notably, while that of ERS scheme remains unchanged. And as the number of Es increases, the SRT of both the ERS and BRS schemes become worse. INDEX TERMS Cooperative communication, physical layer security, best relay selection (BRS), outage probability (OP), intercept probability (IP), security-reliability tradeoff (SRT).

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Security Performance Analysis for Best Relay Selection in Energy-Harvesting Cooperative Communication Networks

et al. 2020

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“…A mode selection and resource allocation algorithm that aims to maximize the system throughput with harvesting and quality of service constraints was proposed. [14] focused on how to maximize the energy harvesting relay-aided D2D communication sum rate without degrading the quality of service requirements of all users. A low complexity joint power allocation and relay selection algorithm was proposed.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Buffer-Aided Energy Harvesting Device-to-Device Communications With Complex Boundary Behavior

et al. 2020

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In this paper, we investigate the performance analysis of the buffer-aided energy harvesting device-to-device (D2D) communication system. A joint data and energy resource scheduling problem is proposed considering the data packet and energy packet Poisson arrival but interactive departure. Considering the coupling relationship between data and energy, the joint resource scheduling problem is modeled as a data and energy coupled queuing model. We raise the expressions of carrier-to-interference and noise-ratio (CINR) interval division, which contains the dynamic interferences from cellular users and the other D2D users. To compromise between data delay and energy consumption, we propose a novel adaptive power transfer (APT) strategy that allows more energy consumption to improve data delay. Studying user mobility and APT strategies will lead to complex boundary behavior of the system transition state matrix. By random geometry theory and quasi-birth and death method to obtain steady-state transition probability, the expressions of throughput, delay and packet drop rate for both data queue and energy queue are derived. Simulations are demonstrated to verify the accuracy of the theoretical derivation results.

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“…In [23], with the goal of maximizing the data rate of the cognitive spectrum sharing-based D2D communication system, a joint time division and power splitting-based information and energy cooperation transmission scheme is studied. In [24], with the goal of maximizing the sum rate, the joint problem of resource allocation and power allocation in energy harvesting relay-aided D2D networks is investigated.…”

Section: Introductionmentioning

confidence: 99%

Mode Selection and Resource Allocation Algorithm in Energy-Harvesting D2D Heterogeneous Network

et al. 2019

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With the rapid increase of smart mobile devices and the improvement of people's demand for wireless communication, the insufficient system capacity and shortage of spectrum resources is gradually emerging. The current wireless communication technology is facing enormous challenges. Device-to-Device (D2D) technology has become a key technology in the future 5G network, with its flexible working mode, low energy consumption, low latency and high capacity, etc. At the same time, D2D communication devices are usually powered by batteries and have a limited lifetime. The lack of spectrum resources and the single power supply for D2D User Equipment (DUE) have become an important issue for mobile communication. Energy harvesting (EH) can provide the power supply. The joint problem of mode selection and resource allocation is challenging issues in energy harvesting D2D heterogeneous networks (EH-DHNs). In this paper, mode selection and resource allocation problem with DUEs multiplexing cellular user equipments (CUEs) uplink spectrum resources for EH-DHNs is investigated. Our object is to maximize the system throughput, and the energy harvesting constraint and the quality of service of CUEs are considered. In order to tackle these issues. The mode selection and resource allocation system throughput maximization problem in EH-DHN is formulated. The formulated problem is solved by the convex optimization theory and greedy strategy. We proposed a Mode Selection and Resource Allocation algorithm (MSRA). In order to illustrate the advantage of the MSRA algorithm, we compared it with other algorithms. We also analyzed the convergence of the MSRA and the performance with different system configurations on system throughput. Comparison shows that the MSRA algorithm can improve system throughput effectively.

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Optimal Resource and Power Allocation With Relay Selection for RF/RE Energy Harvesting Relay-Aided D2D Communication

Cited by 30 publications

References 59 publications

Security Performance Analysis for Best Relay Selection in Energy-Harvesting Cooperative Communication Networks

Security Performance Analysis for Best Relay Selection in Energy-Harvesting Cooperative Communication Networks

Analysis of Buffer-Aided Energy Harvesting Device-to-Device Communications With Complex Boundary Behavior

Mode Selection and Resource Allocation Algorithm in Energy-Harvesting D2D Heterogeneous Network

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