Optimal Transmission Policies for Relay Communication Networks With Ambient Energy Harvesting Relays

Qian, Li Ping; Feng, Guinian; Leung, Victor C. M.

doi:10.1109/jsac.2016.2621356

Cited by 42 publications

(14 citation statements)

References 35 publications

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“…The authors of [27] formulated the power vs delay tradeoff as a stochastic problem, which is solved by Lyapunov optimization theory. By jointly considering the power allocation and time scheduling policy, an algorithm was proposed in [28] to solve the end-to-end throughput maximization problem in two-hop-relaying wireless systems, where the relay node is capable of harvesting energy. In [13], the per-flow performance of an EH multichannel system was investigated.…”

Section: Related Work a Energy Harvesting Wireless Communicationmentioning

confidence: 99%

Proportional-Fair Multi-User Scalable Layered Wireless Video Streaming Powered by Energy Harvesting

Yang

Xie

Chen

et al. 2020

IEEE Trans. Veh. Technol.

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The problem of adaptive multi-user scalable layered video transmission is considered in energy harvesting (EH) aided wireless communication systems. With the goal of improving the quality of video services while providing fairness amongst the users despite the random nature of both energy harvesting and the channel quality, we formulate our Scalable Video Coding (SVC) design as a Constrained Utility Function Maximization (CUFM) problem. The proportional fairness and playback smoothness of our design is guaranteed by maximizing the log-sum of the users' video qualities, while satisfying the battery fullness constraint and video layer (quality) fluctuation constraint. By invoking the classical Lyapunov drift based optimization technique, we further decompose the CUFM problem into two parallel subproblems, i.e., a dynamic transmission power allocation problem and a dynamic layer selection problem. By solving these two subproblems, we derive a joint power allocation and video layer selection strategy for multi-user SVC video transmission. The theoretical performance bound of the proposed solution is also presented. Numerical simulations are conducted with real H.264 SVC video traces and the experimental results demonstrate the reduced playback interruption rate and layer switching rate compared to a heuristic algorithm ProNTO. The results also illustrate a tradeoff between the system's utility function and the playback smoothness experienced by the users.

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Section: Related Work a Energy Harvesting Wireless Communicationmentioning

confidence: 99%

Proportional-Fair Multi-User Scalable Layered Wireless Video Streaming Powered by Energy Harvesting

Yang

Xie

Chen

et al. 2020

IEEE Trans. Veh. Technol.

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“…The lifetime of current wireless devices is significantly limited by the energy capacity of their batteries, especially in some energy-constrained scenarios, such as wireless sensor networks (WSNs) [1], wireless body area networks (WBANs) [2], and low-power wide-area networks (LPWANs) [3]. To cope with this limitation, the energy harvesting (EH) has emerged as a promising technology to enable the sustainable energy for the devices without replacing their battery [4,5] been extensively researched and applied in industry. However, this approach does not suitable for wireless communication devices, as it could not guarantee controllable and continuous energy supply due to the randomness and instability of the environment, which may degrade the user experience.…”

Section: Introductionmentioning

confidence: 99%

Analyzing Power Beacon Assisted Multi-Source Transmission Using Markov Chain

Tang¹,

Deng

Cai³

et al. 2019

IEEE Access

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Wireless power transmission (WPT) is envisioned to be a promising technology for prolonging the lifetime of wireless devices in energy-constrained networks. This paper presents a general power beacon (PB) assisted multi-source transmission, where a practical source selection scheme with information transmission (IT) mode or non-IT mode is developed to maximize the transmission reliability. In the IT mode, a zeroforcing (ZF) beamformed signal with no interference to the destination is transmitted at the multi-antenna PB to supply wireless energy for the sources, and bring non-negative effect to the destination. Among multiple sources, the energy-sufficient source with the best channel quality is selected for wireless information transmission (WIT), while the other sources remain for energy harvesting. In the non-IT mode, the equal power transmission is adopted at PB to focus on energy delivery. Using Markov chain theory, the energy arrival and departure of each finite-capacity storage at the source is characterized mathematically, and the comprehensive analytical expressions of the energy outage probability (EOP), the connection outage probability (COP), and the average transmission delay (ATD) are formulated and derived. Our results reveal that the EOP, COP, and ATD can be significantly improved via increasing the number of sources deployed in the proposed network with finite transmit power of PB. We also prove that the multi-source network will never experience energy outage with infinite transmit power of PB.Index Terms-Wireless power transfer, Markov chain, energy storage, energy outage probability, average transmission delay.

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“…Recently, there has been a urgent concern about EH-enabled relay, e.g., the relay can harvest energy from the ambient radio frequency (RF) signal [6]. Specifically, in [7], the authors investigated a novel full duplex wireless-powered relay with self-energy recycling scheme.…”

Section: Introductionmentioning

confidence: 99%

“…The progress in MA makes a new technique named energy harvesting (EH) become more practical, which is considered as one of the most effective approaches for improving the energy efficiency of wireless networks [4]. Since relay is commonly an energy-constrained node, it is critical to require ambient energy supply for supporting transmission in relay networks [5].Recently, there has been a urgent concern about EH-enabled relay, e.g., the relay can harvest energy from the ambient radio frequency (RF) signal [6]. Specifically, in [7], the authors investigated a novel full duplex wireless-powered relay with self-energy recycling scheme.…”

mentioning

confidence: 99%

Secrecy Sustainable Transmission Design in Energy Harvesting Enable Relay Networks

Kong¹,

Zhou²,

Liu³

2019

PIER M

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In this paper, we investigate the secrecy design in a sustainable relay network, where the relay is energy harvesting enabled and utilizes time switching to harvest wireless power. Specifically, assuming half-duplex amplify-and-forward relaying, we investigate the worst-case secrecy rate maximization by jointly designing the relay beamforming matrix, artificial noise covariance, and the time switching ratio. However, the formulated problem is highly non-convex due to the secrecy rate function and the dynamic relay transmit power constraint. By decoupling the original problem, we propose a two-layer optimization algorithm, where the outer problem is solved by two-dimensional search while the inner problem is solved by semi-definite relaxation. Numerical results show the effectiveness of the proposed scheme. INTRODUCTIONRecently, a newly emerging absorber, named as metamaterial absorber (MA), has aroused great attention [1][2][3]. Specifically, the multi-band, broad-band, and tunable MAs were investigated in [1,2], and [3], respectively. Based on amount of theoretically analysis and experiment data, the authors obtained several promising conclusions about MA. The progress in MA makes a new technique named energy harvesting (EH) become more practical, which is considered as one of the most effective approaches for improving the energy efficiency of wireless networks [4]. Since relay is commonly an energy-constrained node, it is critical to require ambient energy supply for supporting transmission in relay networks [5].Recently, there has been a urgent concern about EH-enabled relay, e.g., the relay can harvest energy from the ambient radio frequency (RF) signal [6]. Specifically, in [7], the authors investigated a novel full duplex wireless-powered relay with self-energy recycling scheme. In [8], the authors investigated the relay beamforming (BF) and power splitting (PS) for EH-enabled amplify-and-forward (AF) relay networks. In [9], the authors investigated the joint power control and energy transfer scheme in EHenabled AF relay networks. In [10], taking into account imperfect channel state information (CSI), the authors proposed a robust BF and PS scheme.On the other hand, due the complex communication environment and the openness of wireless channels, the security issues of relay networks are facing severe challenges [11]. The physical layer security (PLS) technique, which utilizes the features of wireless channel to improve the security, has been proved to be an effective way [12]. Specifically,[13][14][15], the authors investigated secure EHenabled relay methods to maximize the achievable secrecy rate. In [16], the authors investigated a secure EH-enabled relay design to minimize the relay power consumption.It should be noted that most of these works focus on PS scheme. On the other hand, time switching (TS) is another feasible way to coordinate EH and information decoding (ID) due to simplicity [17][18][19][20][21]. Specifically,in [17], the authors compared the performances of PS and TS methods in EH-enabled

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Optimal Transmission Policies for Relay Communication Networks With Ambient Energy Harvesting Relays

Cited by 42 publications

References 35 publications

Proportional-Fair Multi-User Scalable Layered Wireless Video Streaming Powered by Energy Harvesting

Proportional-Fair Multi-User Scalable Layered Wireless Video Streaming Powered by Energy Harvesting

Analyzing Power Beacon Assisted Multi-Source Transmission Using Markov Chain

Secrecy Sustainable Transmission Design in Energy Harvesting Enable Relay Networks

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