Beam-domain hybrid time-switching and power-splitting SWIPT in full-duplex massive MIMO system

Abstract

In this paper, we consider the beam-domain hybrid time-switching (TS) and power-splitting (PS) simultaneous wireless information and power transfer (SWIPT) protocol design in full-duplex (FD) massive multiple-input multiple-output (MIMO) system, where the FD base station (BS) simultaneously serves a set of downlink half-duplex (HD) users (cellular users) and a set of fixed uplink HD users (fixed sensor nodes) which are uniformly distributed in its coverage area. In order to reduce the computational complexity, we investigate the beam-domain representation of massive MIMO channels based on the basis expansion model, and then the beam-domain SWIPT protocol which lies in intelligently scheduling the users and sensors based on the beam-domain distributions of their associated channels to mitigate SI and enhance transmission efficiency is designed for full-duplex massive MIMO system. The whole beam-domain hybrid TS and PS SWIPT protocol is divided into two phases based on the ideal of TS. The first phase is used for cellular users uplink training and sensor nodes energy harvesting as well as downlink training, wherein the cellular users transmit uplink pilots for uplink channel estimation at the BS, while the BS simultaneously transmits energy signals to the sensor nodes. Based on the idea of PS, the sensor nodes utilize the received energy signals for energy harvesting and downlink channel estimation. In the second phase, the BS forms the transmit beamformers for information transmission to the users as well as the receive beamformers for the sensors transmit their data to the BS simultaneously. By optimizing the TS ratio and transmit powers at the BS in two phases, the system achievable sum rate performance is maximized. Simulation results show the superiority of the proposed protocol on spectral efficiency compared with the existing massive MIMO SWIPT protocol.

MIMO broadcast scheduling using binary spider monkey optimization algorithm

“…Furthermore, the power consumption of the BS as well as users need to be reduced. These issues have been addressed by the authors in previous studies 25,26 . Zhou et al 27 have discussed power controlled optimization for MIMO downlink systems by the joint optimization of communication and energy resource allocation strategy.…”

SWIPT in mMIMO system with non-linear energy-harvesting terminals: protocol design and performance optimization

“…As a practical solution to improve the energy efficiency (EE) of battery-powered IoT network in 5G systems and hence extend the service lifetime of the IoT network, RF energy-harvesting (EH) technology has been widely studied [10][11][12]. In an actual simultaneous wireless information and power transfer (SWIPT) system [13], the base station (BS) or access point (AP) provides the receiver with concurrent information and energy supply.…”

Beam‐domain SWIPT in massive MIMO system with energy‐constrained terminals

“…Simultaneous wireless information and power transfer (SWIPT) [10][11][12][13] means that the wireless transmitter provides the receiver with concurrent information and energy supply. The SWIPT receiver was first designed to collect the power of the received signal while decoding the information it contained simultaneously [14,15] and was proved impractical in [16].…”

“…The TS receiver alternates between EH and ID according to the TS ratio [18], as a result, the incoming RF signal was first sent to the energy harvester and then to the signal receiver. For the PS receiver, the incoming signal is split into two parts according to the PS ratio [11], one portion is sent to the energy harvester while the remaining portion is sent to the signal receiver.…”