scholarly journals Secure energy efficiency optimization for MISO cognitive radio network with energy harvesting

2017 ◽  
Author(s):  
Miao Zhang ◽  
Kanapathippillai Cumanan ◽  
Alister Burr
Keyword(s):  
Energy Efficiency ◽  
Cognitive Radio ◽  
Energy Harvesting ◽  
Cognitive Radio Network ◽  
Radio Network ◽  
Efficiency Optimization

scholarly journals Energy Efficiency Optimization for Secure Transmission in MISO Cognitive Radio Network With Energy Harvesting

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 126234-126252 ◽  
Author(s):  
Miao Zhang ◽  
Kanapathippillai Cumanan ◽  
Jeyarajan Thiyagalingam ◽  
Wei Wang ◽  
Alister G. Burr ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Cognitive Radio ◽  
Energy Harvesting ◽  
Cognitive Radio Network ◽  
Radio Network ◽  
Efficiency Optimization ◽  
Secure Transmission

Distributed Energy Efficiency Optimization for MIMO Cognitive Radio Network

2015 ◽  
Vol 19 (5) ◽  
pp. 847-850 ◽  
Author(s):  
Xiaohui Zhang ◽  
Hongxiang Li ◽  
Yanhui Lu ◽  
Bing Zhou
Keyword(s):  
Energy Efficiency ◽  
Cognitive Radio ◽  
Cognitive Radio Network ◽  
Radio Network ◽  
Distributed Energy ◽  
Efficiency Optimization

scholarly journals Energy efficiency optimization-based resource allocation for underlay RF-CRN with residual energy and QoS guarantee

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Jie Tian ◽  
He Xiao ◽  
Yimao Sun ◽  
Dong Hou ◽  
Xianglu Li
Keyword(s):  
Resource Allocation ◽  
Energy Efficiency ◽  
Cognitive Radio ◽  
Energy Harvesting ◽  
Radio Frequency ◽  
Cognitive Radio Network ◽  
Residual Energy ◽  
Radio Network ◽  
Minimum Requirement ◽  
Radio Frequency Energy

Abstract How to achieve energy-efficient transmission in radio frequency energy harvesting cognitive radio network (RF-CRN) is of great importance when nodes in CRN are self-maintained. This paper presents a radio frequency (RF) energy harvesting hardware-based underlay cognitive radio network (RH-CRN) structure, where a secondary transmitter (ST) first harvests energy from RF signals source originating from the primary network, and then communicates with a secondary receiver (SR) in underlay mode by using the harvested energy. The total consumed energy by the secondary user (SU) must be equal to or less than the total harvested energy referred to as energy causality constraint, In addition, the ST possesses some initial energy which may be the residual energy from the former transmission blocks, and we consider the energy loss of energy harvesting circuit as a systematic factor as well. Our goal is to achieve the maximum energy efficiency (EE) of the secondary network by jointly optimizing transmitting time and power. To guarantee the quality of service (QoS) of secondary transceiver, a minimum requirement of throughput constraint is imposed on the ST in the process of EE maximization. As the EE maximization is a nonlinear fractional programming problem, a quick iterative algorithm based on Dinkelbach’s method is proposed to achieve the optimal resource allocation. Simulation results show that the proposed strategy has fast convergence and can improve the system EE greatly while ensuring the QoS.

scholarly journals Design an Optimum Energy Harvesting Model for Bidirectional Cognitive Radio Networks

2021 ◽  
Author(s):  
Mohammad Kamrul Kamrul Hasan ◽  
Md. Monwar Jahan Chowdhury ◽  
Shakil Ahmed ◽  
Saifur Rahman Sabuj ◽  
Jamel Nibhen ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Cognitive Radio ◽  
Energy Harvesting ◽  
Outage Probability ◽  
Network Model ◽  
Cognitive Radio Network ◽  
Primary User ◽  
Battery Life ◽  
Radio Network ◽  
Wireless Devices

Abstract The energy efficiency and spectrum shortage problem of wireless devices has become a concern for researchers worldwide as the number of wireless devices increases at an unparalleled speed. Many new solutions have been proposed to extend mobile devices' battery life, such as wireless energy harvesting from traditional radio frequency signals to design new smart battery chips. This paper considers a cognitive radio network model where primary users have their specific licensed band, and secondary users equipped with necessary hardware required for energy harvesting can use the licensed band of the primary user by smart sensing capability. First, the expression of outage probability is theoretically derived for uplink and downlink scenarios. Moreover, maximum energy efficiency for both uplink and downlink in the cognitive radio network model subject to interference and noise is investigated here. The theoretical analysis is then evaluated. It has been observed that outage probability improves low harvested power in the downlink scenario and high harvested power in the uplink scenario. Finally, the result signifies that energy efficiency is improved using optimum power for uplink and downlink scenarios.

Primary behaviour-based energy harvesting multihop cognitive radio network

2017 ◽  
Vol 11 (16) ◽  
pp. 2466-2475 ◽  
Author(s):  
Soumen Mondal ◽  
Sanjay Dhar Roy ◽  
Sumit Kundu
Keyword(s):  
Cognitive Radio ◽  
Energy Harvesting ◽  
Cognitive Radio Network ◽  
Radio Network
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