Provisioning quality-of-service to energy harvesting wireless communications

Abstract

This document is the Accepted Manuscript version of the following article: Xiaojing Chen, Wei Ni, Xin Wang, and Yichuang Sun, ???Provisioning quality-of-service to energy harvesting wireless communications???, IEEE Communications Magazine, Vol. 53 (4): 102-109, April 2015. The version of record is available online at doi: http://dx.doi.org/10.1109/MCOM.2015.7081082 ?? 2015 IEEEEnergy harvesting (EH) is an innovative way to build long-term and self-sustainable wireless networks. However, an inconstant EH rate may have an adverse effect on the quality-of-service (QoS) of wireless traffic, such as packet delay and error. In this article we discuss techniques that provide QoS to EH powered wireless communications. A new "dynamic string tautening" method is presented to produce the most energy efficient schedule with substantially lower complexity, compared to convex optimization techniques. The method adapts to the bursty arrivals of wireless traffic and harvested energy, and ensures that delay-sensitive data will be delivered by deadline. Comprehensive designs of EH powered transmitters are also discussed, where the EH rate, battery capacity, and deadline requirement can be jointly adjusted to leverage QoS and the cost

Energy Efficiency Maximization of Full-Duplex Two-Way Relay With Non-Ideal Power Amplifiers and Non-Negligible Circuit Power

“…Now, we can obtain the equivalent optimization problem of (P2) in the same form as (29), with the objective changed to…”

“…In [26], the power allocation was optimized to maximize a bits-per-Joule EE in the conventional singlehop frequency-selective channels under the assumption of nonnegligible constant circuit power. In [27], a string tautening algorithm was proposed to produce the most energy-efficient schedule for delay-limited traffic, first under the assumption of negligible circuit power, and then extended to non-negligible constant circuit powers [28] and energy-harvesting communications [29]. In [30], the rate region of a FD OFDM link was maximized under non-ideal transceivers by modelling the self-interference as an additive error vector magnitude (EVM) noise which was decomposed into the equivalent noises at the two ends of the FD link.…”

MIMO-OFDM Based Energy Harvesting Cooperative Communications Using Coalitional Game Algorithm

“…As stated in [1], Energy Harvesting (EH) could represent an interesting and innovative approach to build long-term and self-sustainable wireless networks, such as wireless sensor networks (WSNs) in remote human-unfriendly environments, mobile network infrastructures deployed in areas not reached by stable power sources (this is of particular interest in the framework of the reduction of the Digital Divide in developing countries) and, last but not the least, environmental-friendly networking installations, capable of saving carbon-based power through the exploitation of renewable sources.…”

“…As demonstrated in [2], this curve is typically quasi-concave. Therefore, the data rate (expressed in b/s/Hz) that maximizes the number of bits to be transmitted using a Joule of energy, denoted by r ee , can be efficiently obtained by a simple bi-sectional search [1]. Similar considerations can be done also for the EH case.…”

Wireless Power Transfer and Data Collection in Wireless Sensor Networks

“…Earlier energy-efficient transmission schemes were focused on a single point-to-point link [13,14,15,16,17] or in cellular frameworks [18]. In [13], a string tautening algorithm was proposed to produce the most energy-efficient schedule for delay-limited traffic, first under the assumption of negligible circuit power, and then extended to energy-harvesting powered transmissions with non-negligible transmitter circuit powers [14,15]. Later, simple network topologies, such as three-party two-way relay, were considered for the maximization of energy efficiency, first in a half-duplex transmission mode [16] and then in a full-duplex mode [17].…”