1 research outputs found
Resource Allocation for SWIPT in Multi-Service Wireless Networks
The novel resource allocation for simultaneous wireless information and power
transfer (SWIPT) is presented as a means of not only helping to communicate and
access information with increasing efficiency in the next generation of mobile
data networks but also contributing to minimizing a network's overall power
consumption by providing a green energy source. First, a unique architecture is
proposed that harvests energy from an access point (AP) without the receiver
needing a splitter. In the proposed system model, a portion of the spectrum is
used for information decoding (ID) while the remaining portion is exploited for
energy harvesting (EH) in an orthogonal frequency division multiple access
(OFDMA) network. To investigate the performance gain, an optimization problem
is formulated that maximizes the harvested energy of a multi-user single-cell
OFDMA downlink (DL) network with SWIPT and also satisfies a minimum data-rate
requirement for all users. A locally optimal solution for the underlying
problem, which is essentially non-convex due to the coupling of the integer
variable, is obtained by using optimization tools. Second, the proposed system
model is improved in order to investigate the resource allocation problem of
needing to maximize throughput based on the separated receiver architecture in
an OFDMA multi-user multi-cell system that uses SWIPT. The resulting problem,
which jointly optimizes the subcarrier assignment and power allocation, is a
mixed-integer non-linear problem (MINLP) that is difficult to solve. Third, a
state-of-the-art harvesting technique at the receiver that is based on receiver
antenna selection with a co-located architecture is explored to optimize the
energy efficiency (EE) of a SWIPT-enabled multi-cell multi-user OFDMA network.
This is referred to as a Generalized Antenna-Switching Technique