Multicast Beamforming for SWIPT in MISO Full-Duplex Systems

2021 ◽  
Vol 16 (1) ◽  
pp. 26-33
Author(s):  
Alexander Akpofure Okandeji
Keyword(s):  
Energy Harvesting ◽  
Channel State Information ◽  
Base Station ◽  
Semidefinite Relaxation ◽  
Full Duplex ◽  
Power Splitting ◽  
Power Transfer ◽  
Imperfect Channel State Information ◽  
Channel State ◽  
State Information

This paper considers the multicast transmit beamforming and receive power splitting problem for sum transmit power minimization for a simultaneous wireless information and power transfer (SWIPT) system subject to signal-to-interference-plus-noise ratio (SINR), and energy harvesting constraints at the receiver. In particular, we consider the case of perfect and imperfect channel state information (CSI) at the base station. Using semidefinite relaxation (SDR) technique, we obtain solution to the problem with imperfect channel state information of the self-interfering channels. Keywords: Simultaneous wireless information and power transfer, channel state information, Energy harvesting, semidefinite relaxation.

scholarly journals On the Performance of Battery-Assisted PS-SWIPT Enabled DF Relaying

Information ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 165 ◽  
Author(s):  
Zhipeng Liu ◽  
Guangyue Lu ◽  
Yinghui Ye ◽  
Liqin Shi
Keyword(s):  
Energy Efficiency ◽  
Computer Simulations ◽  
Channel State Information ◽  
Power Splitting ◽  
Power Transfer ◽  
Decode And Forward ◽  
Channel State ◽  
Relay System ◽  
State Information ◽  
Analytical Results

Compared with the conventional simultaneous wireless information and power transfer (SWIPT) based relaying with “harvest-then-forward” protocol, the battery-assisted SWIPT relaying is more practical and powerful due to the joint use of the harvested energy and supplementary battery. However, to the best of our knowledge, the performance of a battery-assisted power splitting (PS)-SWIPT decode-and-forward (DF) relay system has not been studied. In this paper, for a given amount of energy from the relay’s battery, we propose to maximize the outage and ergodic capacities by optimizing the static and dynamic PS ratios that rely on statistical and instantaneous channel state information (CSI), respectively, and derive their corresponding outage and ergodic capacities. Computer simulations validate our analytical results and demonstrate the advantages of the dynamic PS over the static PS in terms of the outage and ergodic capacities, as well as the energy efficiency.

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