scholarly journals On Outage Analysis in Overlay CCRN With RF Energy Harvesting and Co-Channel Interference

2021 ◽  
Author(s):  
SUTANU GHOSH ◽  
Santi P. Maity ◽  
Tamaghna Acharya
Keyword(s):  
Energy Harvesting ◽  
Spectrum Sharing ◽  
Primary User ◽  
Antenna System ◽  
Rf Energy Harvesting ◽  
Single Antenna ◽  
Channel Interference ◽  
Rf Energy ◽  
Performance Gains ◽  
The Impact

Abstract This paper explores the impact of co-channel interference (CCI) on the link outage and radio frequency (RF) energy harvesting (EH). For analysis, co-operative cognitive radio network (CCRN) architecture is considered as system model that supports one-way primary user (PU) and two-way secondary user (SU) communications, using an overlay mode of spectrum sharing. Closed form outage expressions are derived for both PU and SU network in presence of multiple antennas at PUs and CCI at SUs. The effect of CCI on the system performance is studied with respect to interference-to-noise-ratio (INR), transmission power, number of antennas and number of CCI sources. Performance gains are found to achieve ~ 20% and ~ 15% for PU and SU outage in two antenna system over a single antenna one.

scholarly journals Energy Efficiency in RF Energy Harvesting-Powered Distributed Antenna Systems for the Internet of Things

Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4631 ◽  
Author(s):  
Jiaxin Li ◽  
Ke Xiong ◽  
Jie Cao ◽  
Xi Yang ◽  
Tong Liu
Keyword(s):  
Energy Efficiency ◽  
Energy Harvesting ◽  
Optimal Solution ◽  
Antenna System ◽  
Power Assignment ◽  
Rf Energy Harvesting ◽  
Distributed Antenna ◽  
Convex Problem ◽  
Rf Energy ◽  
Time Division

This paper studies a distributed antenna system (DAS) network with radio frequency (RF) energy harvesting (EH) technology where the distributed antenna ports (DAPs) transmit energy and information to multiple users simultaneously. The time division multiple access (TDMA) protocol is adopted, so for each time slot is allowed to receive information, while the rest of the users harvest energy. In order to maximize the system energy efficiency (EE), subject to the EH requirements and data rate requirements of the users, the transmission time and power assignment are jointly optimized. In order to deal with this non-convex problem, based on Dinkelbach theory and the block-coordinate descent (BCD) scheme, an efficient algorithm is designed to obtain the global optimal solution. Then, simulation results are presented to show that the proposed method achieves much higher system EE compared with benchmark methods. With the increase of the user’s minimum information rate, the system EE decreases rapidly.

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