Outage Analysis and Optimization in Single- and Multiuser Wireless Energy Harvesting Networks

Zhang, Bo; Dong, Chen; El‐Hajjar, Mohammed; Hanzo, Lajos

doi:10.1109/tvt.2015.2409781

Cited by 19 publications

(11 citation statements)

References 21 publications

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“…2 that the architecture mainly consists of a infinite-size primary energy buffer (PEB) and a infinitesize secondary energy buffer (SEB). Particularly, since the rechargeable energy storage devices are not able to discharge while they are being charged [26], [27], the PEB is utilized to power for the node transmitter, while the harvested energy from the ambient energy source (e.g. the predictable solar energy [28]) need to be stored in the SEB.…”

Section: A System Modelmentioning

confidence: 99%

Opportunistic Routing Aided Cooperative Communication Network with Energy-Harvesting

An¹,

Chen²,

Xu³

et al. 2022

Preprint

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In this paper, a cooperative communication network based on two energy-harvesting (EH) decode-and-forward (DF) relays which harvest energy from the ambience using buffers with harvest-store-use (HSU) architecture is considered. For improving the data delivery in this network, an opportunistic routing (OR) algorithm considering channel status information (CSI), location and energy buffer status of relays is proposed. For the sake of deriving the theoretical expressions for limiting distribution of energy stored in buffers with discrete-time continuousstate space Markov chain (DCSMC) model, the probabilities that the packet to be forwarded exists in one and more transmitting nodes are obtained based on the state transition matrix (STM). Moreover, the closed-form expressions for outage probability and throughput of the network based on the CSI and the limiting distributions of energy stored in buffers are presented. Numerous experiments have been performed to verify the derived theoretical expressions.

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Section: A System Modelmentioning

confidence: 99%

Opportunistic Routing Aided Cooperative Communication Network with Energy-Harvesting

An¹,

Chen²,

Xu³

et al. 2022

Preprint

Self Cite

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“…Problem (13) can be verified as a convex problem, which can be optimized using the Lagrange duality method [21]. This method maximizes the value of the objective function (13) under the given constraints (14) and (15). The Lagrangian of the problem can be written as…”

Section: Feasibility Checkmentioning

confidence: 99%

“…By accumulating energy in an energy storage device, such as an energy buffer or rechargeable battery, the harvested energy can be saved for future usage for improving the performance of cooperative PU-SU systems. Wireless networks that harvest and accumulate non-RF signal energy sources have been recently proposed [11][12][13][14], but WPCN with energy accumulation has been rarely considered. Yao et al [15] proposed an energy-cooperative protocol between PUs and SUs that accumulates energy at the user equipment (UE).…”

Section: Introductionmentioning

confidence: 99%

Cooperative resource allocation in cognitive wireless powered communication networks with energy accumulation and deadline requirements

2019

Sci. China Inf. Sci.

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This study investigates a multi-carrier cognitive wireless powered communication network (CW-PCN) with a wirelessly powered primary user (PU). A two-stage cooperative protocol between the PU and the secondary user (SU) is adopted so that the PU can harvest energy from the SU while the SU gains transmission opportunities. It is assumed that the energy harvested by the PU can be accumulated for future usage, and the quality of service of the PU is guaranteed by satisfying the required minimum number of data bits for a given deadline. Herein, we maximize the SU rate by considering the time allocation, subcarrier allocation, and power allocation in both an offline setting (in which the future channel gains are known a priori) and an online setting (in which only the current channel gains are known). In the offline and online schemes, the maximization problem is solved using the block-coordinate descent method and the Lagrange duality method. The effectiveness of the proposed schemes is evaluated and verified via simulation experiments against benchmark schemes.

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“…With the HSU (Harveststore-use) architecture, the relay is equipped with a rechargeable device (battery for example) that can store and release energy. Since storage devices cannot charge and discharge at the same time [22], [23], harvested energy is stored in a secondary energy buffer (SEB), which is typically a super-capacitor, and transferred to the primary energy buffer (PEB), which is typically a battery, at the end of the signalling interval in a negligible amount of time [23]. On the other hand, with HU (Harvest-use) architecture, all the energy that is harvested is used in the same signalling interval (for example architectures based on super-capacitors).…”

Section: Energymentioning

confidence: 99%

“…The incoming harvested energy X(i) is assumed to be an exponential random variable (as in [22], [23]) with PDF f X (x). Denote by B(i) the energy level in the buffer in the i th signalling interval.…”

Section: A Limiting Distribution Of Ibepmentioning

confidence: 99%

Performance of Energy-Buffer Aided Incremental Relaying in Cooperative Networks

Bapatla¹,

Prakriya²

2018

Preprint

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In this paper, we consider a two-hop cooperative network with a direct link based on an energy harvesting (EH) decode-and-forward relay. The energy-buffer equipped relay harvests energy from the ambience, and uses the harvest-store-use (HSU) architecture. Since it is known that using a discretestate Markov chain to model the energy buffer is inaccurate even for moderate number of states, we use a discrete-time continuous-state space Markov chain instead. We derive the limiting distribution of energy for both incremental on-off policy (IOFP) and the incremental best-effort policy (IBEF), and use them to obtain expressions for outage probability and throughput. The corresponding expressions for non-incremental signalling follow as a special case. We show that stable buffers using IBEP harness a diversity of two as compared to those using IOFP, which attain a diversity of one. However, while buffers using IBEF are consequently more reliable than those with IOFP, their throughput performance is only marginally superior. Simulation results are presented to validate the derived analytical expressions.

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Outage Analysis and Optimization in Single- and Multiuser Wireless Energy Harvesting Networks

Cited by 19 publications

References 21 publications

Opportunistic Routing Aided Cooperative Communication Network with Energy-Harvesting

Opportunistic Routing Aided Cooperative Communication Network with Energy-Harvesting

Cooperative resource allocation in cognitive wireless powered communication networks with energy accumulation and deadline requirements

Performance of Energy-Buffer Aided Incremental Relaying in Cooperative Networks

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