3 research outputs found
Energy harvesting Internet of Things health-based paradigm: toward outage probability reduction through inter-wireless body area network cooperation
In today’s healthcare environment, the Internet of Things technology provides suitability among physicians and patients, as it is valuable in numerous medicinal fields. Wireless body sensor network technologies are essential technologies in the growth of Internet of Things healthcare paradigm, where every patient is monitored utilising small-powered and lightweight sensor nodes. A dual-hop, inter–wireless body sensor network cooperation and an incremental inter–wireless body sensor network cooperation with energy harvesting in the Internet of Things health-based paradigm have been investigated and designed in this work. The three protocols have been named and abbreviated as follows: energy harvesting–based dual-hop cooperation, energy harvesting–based inter–wireless body sensor network cooperation and energy harvesting–based incremental inter–wireless body sensor network cooperation. Outage probabilities for the three designed protocols were investigated and inspected, and mathematical expressions of the outage probabilities were derived. The simulation and numerical results showed that the energy harvesting–based incremental inter–wireless body sensor network cooperation provided superior performance over the energy harvesting–based inter–wireless body sensor network cooperation and energy harvesting–based dual-hop cooperation by 1.38 times and 5.72 times, respectively; while energy harvesting–based inter–wireless body sensor network cooperation achieved better performance over energy harvesting–based dual-hop cooperation by 1.87 times
Specific Absorption Rate-Aware Beamforming in MISO Downlink SWIPT Systems
This paper investigates the optimal transmit beamforming design of
simultaneous wireless information and power transfer (SWIPT) in the multiuser
multiple-input-single-output (MISO) downlink with specific absorption rate
(SAR) constraints. We consider the power splitting technique for SWIPT, where
each receiver divides the received signal into two parts: one for information
decoding and the other for energy harvesting with a practical non-linear
rectification model. The problem of interest is to maximize as much as possible
the received signal-to-interference-plus-noise ratio (SINR) and the energy
harvested for all receivers, while satisfying the transmit power and the SAR
constraints by optimizing the transmit beamforming at the transmitter and the
power splitting ratios at different receivers. The optimal beamforming and
power splitting solutions are obtained with the aid of semidefinite programming
and bisection search. Low-complexity fixed beamforming and hybrid beamforming
techniques are also studied. Furthermore, we study the effect of imperfect
channel information and radiation matrices, and design robust beamforming to
guarantee the worst-case performance. Simulation results demonstrate that our
proposed algorithms can effectively deal with the radio exposure constraints
and significantly outperform the conventional transmission scheme with power
backoff.Comment: to appear in TCO