250 research outputs found
Energy Harvesting Wireless Communications: A Review of Recent Advances
This article summarizes recent contributions in the broad area of energy
harvesting wireless communications. In particular, we provide 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. The
emerging related area of energy transfer for self-sustaining energy harvesting
wireless networks is considered in detail covering both energy cooperation
aspects and simultaneous energy and information transfer. Various potential
models with energy harvesting nodes at different network scales are reviewed as
well as models for energy consumption at the nodes.Comment: To appear in the IEEE Journal of Selected Areas in Communications
(Special Issue: Wireless Communications Powered by Energy Harvesting and
Wireless Energy Transfer
Wireless Information and Power Transfer: Architecture Design and Rate-Energy Tradeoff
Simultaneous information and power transfer over the wireless channels
potentially offers great convenience to mobile users. Yet practical receiver
designs impose technical constraints on its hardware realization, as practical
circuits for harvesting energy from radio signals are not yet able to decode
the carried information directly. To make theoretical progress, we propose a
general receiver operation, namely, dynamic power splitting (DPS), which splits
the received signal with adjustable power ratio for energy harvesting and
information decoding, separately. Three special cases of DPS, namely, time
switching (TS), static power splitting (SPS) and on-off power splitting (OPS)
are investigated. The TS and SPS schemes can be treated as special cases of
OPS. Moreover, we propose two types of practical receiver architectures,
namely, separated versus integrated information and energy receivers. The
integrated receiver integrates the front-end components of the separated
receiver, thus achieving a smaller form factor. The rate-energy tradeoff for
the two architectures are characterized by a so-called rate-energy (R-E)
region. The optimal transmission strategy is derived to achieve different
rate-energy tradeoffs. With receiver circuit power consumption taken into
account, it is shown that the OPS scheme is optimal for both receivers. For the
ideal case when the receiver circuit does not consume power, the SPS scheme is
optimal for both receivers. In addition, we study the performance for the two
types of receivers under a realistic system setup that employs practical
modulation. Our results provide useful insights to the optimal practical
receiver design for simultaneous wireless information and power transfer
(SWIPT).Comment: to appear in IEEE Transactions on Communication
MIMO-OFDM Based Energy Harvesting Cooperative Communications Using Coalitional Game Algorithm
This document is the Accepted Manuscript version. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.In this paper, we consider the problem of cooperative communication between relays and base station in an advanced MIMO-OFDM framework, under the assumption that the relays are supplied by electric power drawn from energy harvesting (EH) sources. In particular, we focus on the relay selection, with the goal to guarantee the required performance in terms of capacity. In order to maximize the data throughput under the EH constraint, we model the transmission scheme as a non-transferable coalition formation game, with characteristic function based on an approximated capacity expression. Then, we introduce a powerful mathematical tool inherent to coalitional game theory, namely: the Shapley value (Sv) to provide a reliable solution concept to the game. The selected relays will form a virtual dynamically-configuredMIMO network that is able to transmit data to destination using efficient space-time coding techniques. Numerical results, obtained by simulating the EH-powered cooperativeMIMO-OFDMtransmission with Algebraic Space-Time Coding (ASTC), prove that the proposed coalitional game-based relay selection allows to achieve performance very close to that obtained by the same system operated by guaranteed power supply. The proposed methodology is finally compared with some recent related state-of-the-art techniques showing clear advantages in terms of link performance and goodput.Peer reviewe
Application of Smart Antenna Technologies in Simultaneous Wireless Information and Power Transfer
Simultaneous wireless information and power transfer (SWIPT) is a promising
solution to increase the lifetime of wireless nodes and hence alleviate the
energy bottleneck of energy constrained wireless networks. As an alternative to
conventional energy harvesting techniques, SWIPT relies on the use of radio
frequency signals, and is expected to bring some fundamental changes to the
design of wireless communication networks. This article focuses on the
application of advanced smart antenna technologies, including multiple-input
multiple-output and relaying techniques, to SWIPT. These smart antenna
technologies have the potential to significantly improve the energy efficiency
and also the spectral efficiency of SWIPT. Different network topologies with
single and multiple users are investigated, along with some promising solutions
to achieve a favorable trade-off between system performance and complexity. A
detailed discussion of future research challenges for the design of SWIPT
systems is also provided
Simultaneous wireless information and power transfer based on generalized triangular decomposition
In this paper, a new approach, based on the generalized triangular decomposition (GTD), is proposed for simultaneous wireless information and power transfer (SWIPT) in the spatial domain for a point-to-point multiple-input multiple-output (MIMO) system. The proposed approach takes advantage of the GTD structure to allow the transmitter to use the strongest eigenchannel jointly for energy harvesting and information exchange while these transmissions can be separated at the receiver. The optimal structure of the GTD that maximizes the total information rate constrained by a given power allocation and a required amount of energy harvesting is derived. An algorithm is developed that minimizes the total transmitted power for given information rate and energy harvesting constraints with a limited total power at the transmitter. Both theoretical and simulation results show that our proposed GTD based SWIPT outperforms singular value decomposition (SVD) based SWIPT. This is due to the flexibility introduced by the GTD to increase the energy harvested via interstream interference
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