141 research outputs found
Optimal Cooperative Power Allocation for Energy Harvesting Enabled Relay Networks
In this paper, we present a new power allocation scheme for a
decode-and-forward (DF) relaying-enhanced cooperative wireless system. While
both source and relay nodes may have limited traditional brown power supply or
fixed green energy storage, the hybrid source node can also draw power from the
surrounding radio frequency (RF) signals. In particular, we assume a
deterministic RF energy harvesting (EH) model under which the signals
transmitted by the relay serve as the renewable energy source for the source
node. The amount of harvested energy is known for a given transmission power of
the forwarding signal and channel condition between the source and relay nodes.
To maximize the overall throughput while meeting the constraints imposed by the
non-sustainable energy sources and the renewable energy source, an optimization
problem is formulated and solved. Based on different harvesting efficiency and
channel condition, closed form solutions are derived to obtain the optimal
source and relay power allocation jointly. It is shown that instead of
demanding high on-grid power supply or high green energy availability, the
system can achieve compatible or higher throughput by utilizing the harvested
energy
RF Energy Harvesting Enabled Power Sharing in Relay Networks
Through simultaneous energy and information transfer, radio frequency (RF)
energy harvesting (EH) reduces the energy consumption of the wireless networks.
It also provides a new approach for the wireless devices to share each other's
energy storage, without relying on the power grid or traffic offloading. In
this paper, we study RF energy harvesting enabled power balancing within the
decode-and-forward (DF) relaying-enhanced cooperative wireless system. An
optimal power allocation policy is proposed for the scenario where both source
and relay nodes can draw power from the radio frequency signals transmitted by
each other. To maximize the overall throughput while meeting the energy
constraints imposed by the RF sources, an optimization problem is formulated
and solved. Based on different harvesting efficiency and channel condition,
closed form solutions for optimal joint source and relay power allocation are
derived.Comment: An abbreviated version will be presented at IEEE online GreenComm,
Nov., 201
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