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Open AccessJournal ArticleDOI

Data and Energy Integrated Communication Networks for Wireless Big Data

TLDR
The DEIN communication network proposed in this paper regards the convergence of WIT and WET as a full system that considers not only the physical layer but also the higher layers, such as media access control and information routing.
Abstract
This paper describes a new type of communication network called data and energy integrated communication networks (DEINs), which integrates the traditionally separate two processes, i.e., wireless information transfer (WIT) and wireless energy transfer (WET), fulfilling co-transmission of data and energy. In particular, the energy transmission using radio frequency is for the purpose of energy harvesting (EH) rather than information decoding. One driving force of the advent of DEINs is wireless big data, which comes from wireless sensors that produce a large amount of small piece of data. These sensors are typically powered by battery that drains sooner or later and will have to be taken out and then replaced or recharged. EH has emerged as a technology to wirelessly charge batteries in a contactless way. Recent research work has attempted to combine WET with WIT, typically under the label of simultaneous wireless information and power transfer. Such work in the literature largely focuses on the communication side of the whole wireless networks with particular emphasis on power allocation. The DEIN communication network proposed in this paper regards the convergence of WIT and WET as a full system that considers not only the physical layer but also the higher layers, such as media access control and information routing. After describing the DEIN concept and its high-level architecture/protocol stack, this paper presents two use cases focusing on the lower layer and the higher layer of a DEIN network, respectively. The lower layer use case is about a fair resource allocation algorithm, whereas the high-layer section introduces an efficient data forwarding scheme in combination with EH. The two case studies aim to give a better explanation of the DEIN concept. Some future research directions and challenges are also pointed out.

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Citations
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Journal ArticleDOI

Energy-Efficient Offloading for Mobile Edge Computing in 5G Heterogeneous Networks

TL;DR: An optimization problem is formulated to minimize the energy consumption of the offloading system, where the energy cost of both task computing and file transmission are taken into consideration, and an EECO scheme is designed, which jointly optimizes offloading and radio resource allocation to obtain the minimal energy consumption under the latency constraints.
Journal ArticleDOI

Green and Mobility-Aware Caching in 5G Networks

TL;DR: Simulation results prove that the caching placement on SBS and on mobile devices leveraging user mobility is more efficient than other existing caching strategies in terms of both cache hit ratio and energy efficiency.
Patent

Apparatus for transmitting electrical energy inductively

TL;DR: In this article, an apparatus for inductively transferring power to movable consumers is described, which extends in the form of a conductor loop along a trajectory of a predetermined consumer, disposed on the consumer it is capable of power therefrom drawn by the secondary conductor, comprising at least one primary conductor.
Journal ArticleDOI

Integrated Data and Energy Communication Network: A Comprehensive Survey

TL;DR: A ubiquitous IDEN architecture is introduced by summarizing its natural heterogeneity and by synthesizing a diverse range of integrated WET and WIT scenarios, which is revealed from an information theoretical perspective, followed by the critical appraisal of the hardware enabling techniques extracting energy from RF signals.

Rethinking the Role of Interference in Wireless Networks.

TL;DR: The fundamental limits of the interference channel are discussed and the interference alignment technique and its extension of signal alignment techniques are presented and compared to this traditional view, which treats interference as a detrimental phenomenon, are introduced.
References
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Journal ArticleDOI

MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer

TL;DR: This paper studies a multiple-input multiple-output (MIMO) wireless broadcast system consisting of three nodes, where one receiver harvests energy and another receiver decodes information separately from the signals sent by a common transmitter, and all the transmitter and receivers may be equipped with multiple antennas.
Journal ArticleDOI

An Overview of Massive MIMO: Benefits and Challenges

TL;DR: This paper addresses the potential impact of pilot contamination caused by the use of non-orthogonal pilot sequences by users in adjacent cells, and analyzes the energy efficiency and degrees of freedom provided by massive MIMO systems to enable efficient single-carrier transmission.
Proceedings ArticleDOI

Shannon meets Tesla: Wireless information and power transfer

TL;DR: The problem considered here is that of wireless information and power transfer across a noisy coupled-inductor circuit, which is a frequency-selective channel with additive white Gaussian noise, and the optimal tradeoff is characterized given the total power available.
Journal ArticleDOI

Optimal Packet Scheduling in an Energy Harvesting Communication System

TL;DR: In this article, the authors consider the optimal packet scheduling problem in a single-user EH wireless communication system, where both the data packets and the harvested energy are modeled to arrive at the source node randomly and the goal is to adaptively change the transmission rate according to the traffic load and available energy, such that the time by which all packets are delivered is minimized.
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.
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