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Energy Cooperation in Energy Harvesting Communications

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TLDR
The concept of energy cooperation is introduced, where a user wirelessly transmits a portion of its energy to another energy harvesting user, which enables shaping and optimization of the energy arrivals at the energy-receiving node, and improves the overall system performance, despite the loss incurred in energy transfer.
Abstract
In energy harvesting communications, users transmit messages using energy harvested from nature during the course of communication. With an optimum transmit policy, the performance of the system depends only on the energy arrival profiles. In this paper, we introduce the concept of energy cooperation, where a user wirelessly transmits a portion of its energy to another energy harvesting user. This enables shaping and optimization of the energy arrivals at the energy-receiving node, and improves the overall system performance, despite the loss incurred in energy transfer. We consider several basic multi-user network structures with energy harvesting and wireless energy transfer capabilities: relay channel, two-way channel and multiple access channel. We determine energy management policies that maximize the system throughput within a given duration using a Lagrangian formulation and the resulting KKT optimality conditions. We develop a two-dimensional directional water-filling algorithm which optimally controls the flow of harvested energy in two dimensions: in time (from past to future) and among users (from energy-transferring to energy-receiving) and show that a generalized version of this algorithm achieves the boundary of the capacity region of the two-way channel.

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Citations
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Journal ArticleDOI

Energy Harvesting Wireless Communications: A Review of Recent Advances

TL;DR: The current state of the art for wireless networks composed of energy harvesting nodes, starting from the information-theoretic performance limits to transmission scheduling policies and resource allocation, medium access, and networking issues are provided.
Journal ArticleDOI

Energy efficiency in wireless sensor networks: A top-down survey

TL;DR: A top-down survey of the trade-offs between application requirements and lifetime extension that arise when designing wireless sensor networks is presented and a new classification of energy-conservation schemes found in the recent literature is presented.
Journal ArticleDOI

A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead

TL;DR: This survey provides an overview of energy-efficient wireless communications, reviews seminal and recent contribution to the state-of-the-art, including the papers published in this special issue, and discusses the most relevant research challenges to be addressed in the future.
Journal ArticleDOI

Advances in Energy Harvesting Communications: Past, Present, and Future Challenges

TL;DR: An overview of the past and recent developments in energy harvesting communications and networking is presented and a number of possible future research avenues are highlighted.
Journal ArticleDOI

Energy-Efficient Wireless Sensor Networks for Precision Agriculture: A Review.

TL;DR: This review outlines the recent applications of WSNs in agriculture research as well as classifies and compares various wireless communication protocols, the taxonomy of energy-efficient and energy harvesting techniques for W SNs that can be used in agricultural monitoring systems, and comparison between early research works on agriculture-based WSNS.
References
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Elements of information theory

TL;DR: The author examines the role of entropy, inequality, and randomness in the design of codes and the construction of codes in the rapidly changing environment.
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Convex Optimization

TL;DR: In this article, the focus is on recognizing convex optimization problems and then finding the most appropriate technique for solving them, and a comprehensive introduction to the subject is given. But the focus of this book is not on the optimization problem itself, but on the problem of finding the appropriate technique to solve it.
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Inequalities: Theory of Majorization and Its Applications

TL;DR: In this paper, Doubly Stochastic Matrices and Schur-Convex Functions are used to represent matrix functions in the context of matrix factorizations, compounds, direct products and M-matrices.
Journal ArticleDOI

User cooperation diversity. Part I. System description

TL;DR: Results show that, even though the interuser channel is noisy, cooperation leads not only to an increase in capacity for both users but also to a more robust system, where users' achievable rates are less susceptible to channel variations.
Journal ArticleDOI

Wireless Power Transfer via Strongly Coupled Magnetic Resonances

TL;DR: A quantitative model is presented describing the power transfer of self-resonant coils in a strongly coupled regime, which matches the experimental results to within 5%.
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