scholarly journals RELAY SELECTION IN ENERGY HARVESTING AIDED MIXED RF/FSO SYSTEM WITH TRANSMIT ANTENNA SELECTION OVER ATMOSPHERIC TURBULENCE AND POINTING ERROR

2019 ◽  
Vol 97 ◽  
pp. 139-150 ◽  
Author(s):  
Kehinde O. Odeyemi ◽  
Pius Adewale Owolawi
Keyword(s):  
Energy Harvesting ◽  
Atmospheric Turbulence ◽  
Relay Selection ◽  
Antenna Selection ◽  
Transmit Antenna Selection ◽  
Pointing Error

scholarly journals Switchable Coupled Relays Aid Massive Non-Orthogonal Multiple Access Networks with Transmit Antenna Selection and Energy Harvesting

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1101
Author(s):  
Thanh-Nam Tran ◽  
Miroslav Voznak
Keyword(s):  
Energy Harvesting ◽  
Closed Form ◽  
Massive Mimo ◽  
Antenna Selection ◽  
System Throughput ◽  
The Novel ◽  
Transmit Antenna Selection ◽  
Information Power ◽  
Multiple Devices ◽  
Theoretical Results

The article proposes a new switchable coupled relay model for massive MIMO-NOMA networks. The model equips a much greater number of antennas on the coupled relays to dramatically improve capacity and Energy Efficiency (EE). Each relay in a coupled relay is selected and delivered into a single transmission block to serve multiple devices. This paper also plots a new diagram of two transmission blocks which illustrates energy harvesting and signal processing. To optimize the system performance of a massive MIMO-NOMA network, i.e., Outage Probability (OP) and system throughput, this paper deploys a Transmit Antenna Selection (TAS) protocol to select the best received signals from the pre-coding channel matrices. In addition, to achieve better EE, Simultaneously Wireless Information Power Transmit (SWIPT) is implemented. Specifically, this paper derives the novel theoretical analysis in closed-form expressions, i.e., OP, system throughput and EE from a massive MIMO-NOMA network aided by switchable coupled relays. The theoretical results obtained from the closed-form expressions show that a massive MIMO-NOMA network achieves better OP and greater capacity and expends less energy than the MIMO technique. Finally, independent Monte Carlo simulations verified the theoretical results.

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