5,322 research outputs found
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
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
Optimal Resource Allocation in Ultra-low Power Fog-computing SWIPT-based Networks
In this paper, we consider a fog computing system consisting of a
multi-antenna access point (AP), an ultra-low power (ULP) single antenna device
and a fog server. The ULP device is assumed to be capable of both energy
harvesting (EH) and information decoding (ID) using a time-switching
simultaneous wireless information and power transfer (SWIPT) scheme. The ULP
device deploys the harvested energy for ID and either local computing or
offloading the computations to the fog server depending on which strategy is
most energy efficient. In this scenario, we optimize the time slots devoted to
EH, ID and local computation as well as the time slot and power required for
the offloading to minimize the energy cost of the ULP device. Numerical results
are provided to study the effectiveness of the optimized fog computing system
and the relevant challenges
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