866 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
Resource Allocation Techniques for Wireless Powered Communication Networks with Energy Storage Constraint
This paper studies multi-user wireless powered communication networks, where
energy constrained users charge their energy storages by scavenging energy of
the radio frequency signals radiated from a hybrid access point (H-AP). The
energy is then utilized for the users' uplink information transmission to the
H-AP in time division multiple access mode. In this system, we aim to maximize
the uplink sum rate performance by jointly optimizing energy and time resource
allocation for multiple users in both infinite capacity and finite capacity
energy storage cases. First, when the users are equipped with the infinite
capacity energy storages, we derive the optimal downlink energy transmission
policy at the H-AP. Based on this result, analytical resource allocation
solutions are obtained. Next, we propose the optimal energy and time allocation
algorithm for the case where each user has finite capacity energy storage.
Simulation results confirm that the proposed algorithms offer 30% average sum
rate performance gain over conventional schemes
RF-Powered Cognitive Radio Networks: Technical Challenges and Limitations
The increasing demand for spectral and energy efficient communication
networks has spurred a great interest in energy harvesting (EH) cognitive radio
networks (CRNs). Such a revolutionary technology represents a paradigm shift in
the development of wireless networks, as it can simultaneously enable the
efficient use of the available spectrum and the exploitation of radio frequency
(RF) energy in order to reduce the reliance on traditional energy sources. This
is mainly triggered by the recent advancements in microelectronics that puts
forward RF energy harvesting as a plausible technique in the near future. On
the other hand, it is suggested that the operation of a network relying on
harvested energy needs to be redesigned to allow the network to reliably
function in the long term. To this end, the aim of this survey paper is to
provide a comprehensive overview of the recent development and the challenges
regarding the operation of CRNs powered by RF energy. In addition, the
potential open issues that might be considered for the future research are also
discussed in this paper.Comment: 8 pages, 2 figures, 1 table, Accepted in IEEE Communications Magazin
- …