Abstract
This paper optimizes the energy efficiency performance by joint time and beamforming weights allocation in a wireless body area network (WBAN), which consists of a multi-antenna access point (AP), in particular, the AP intends to broadcast radio frequency (RF) power to several single-antenna on-body sensors and receives physiological information from them synchronously. Different path loss and shadowing values are considered in each sensor's channel model to be more practical. In this paper, maximal ratio transmission (MRT) technique and zero-forcing (ZF) technique are applied in RF energy transmission and information decoding, respectively. Considering the signal-to-inference-plus-noise ratio (SINR) threshold of each sensor, the total rate-energy ratio is formulated as a nonconvex optimization problem in each time block, we transform the nonconvex optimization problem into a convex optimization problem and solved it by convex optimization tools. We investigate the energy efficiency performance and reliability performance of the optimal solutions, and numerical results demonstrate the effectiveness of the optimal solutions.
Highlights
As real-time, short-distance, flexible and low-power networks, wireless body area network (WBAN) are usually used to collect physiological signals for personal healthcare monitoring or remote treatment
MOTIVATION AND CONTRIBUTION To prolong the lifetime of WBAN, we investigate the energyefficient performance of multi-sensor WBAN with a multiantenna access point (AP) when wireless energy harvesting is considered in this paper
SYSTEM MODEL AND CHANNEL MODEL we study a one-hop star WBAN consisting of a multi-antenna AP with M antennas and N single-antenna sensors
Summary
As real-time, short-distance, flexible and low-power networks, wireless body area network (WBAN) are usually used to collect physiological signals for personal healthcare monitoring or remote treatment. Considering rate constraints and signal-to-inference-plus-noise ratio (SINR) expression in 5G technologies, authors in [17] proposed a improved power control algorithms for energy efficiency optimization in wireless networks. B. MOTIVATION AND CONTRIBUTION To prolong the lifetime of WBAN, we investigate the energyefficient performance of multi-sensor WBAN with a multiantenna AP when wireless energy harvesting is considered in this paper. To maximize energy efficiency of WBAN, we formulate the rate-power ratio function of whole system and achieve golbally optimal solutions by a joint optimization of time and energy beamforming weights allocation. An energy-efficient optimization problem is formulated as throughput power ratio based on time allocation and MRT beamforming weightes allocation.
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call