In this paper, the security-aware robust resource allocation in energy harvesting cognitive radio networks is considered with cooperation between two transmitters while there are uncertainties in channel gains and battery energy value. To be specific, the primary access point harvests energy from the green resource and uses time switching protocol to send the energy and data towards the secondary access point (SAP).
DOI Link: 
10.21227/d95p-qz45
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[1] Saeed Sheikhzadeh, Mohsen Pourghasemian, Mohammad Reza Javan, Nader Mokari, Eduard A. Jorswieck, "AI-Based Secure NOMA and Cognitive Radio enabled Green Communications: Channel State Information and Battery Value Uncertainties", IEEE Dataport, 2021. [Online]. Available: http://dx.doi.org/10.21227/d95p-qz45. Accessed: Mar. 14, 2025.
@data{d95p-qz45-21,
doi = {10.21227/d95p-qz45},
url = {http://dx.doi.org/10.21227/d95p-qz45},
author = {Saeed Sheikhzadeh; Mohsen Pourghasemian; Mohammad Reza Javan; Nader Mokari; Eduard A. Jorswieck },
publisher = {IEEE Dataport},
title = {AI-Based Secure NOMA and Cognitive Radio enabled Green Communications: Channel State Information and Battery Value Uncertainties},
year = {2021} }
TY - DATA
T1 - AI-Based Secure NOMA and Cognitive Radio enabled Green Communications: Channel State Information and Battery Value Uncertainties
AU - Saeed Sheikhzadeh; Mohsen Pourghasemian; Mohammad Reza Javan; Nader Mokari; Eduard A. Jorswieck
PY - 2021
PB - IEEE Dataport
UR - 10.21227/d95p-qz45
ER -
Saeed Sheikhzadeh, Mohsen Pourghasemian, Mohammad Reza Javan, Nader Mokari, Eduard A. Jorswieck. (2021). AI-Based Secure NOMA and Cognitive Radio enabled Green Communications: Channel State Information and Battery Value Uncertainties. IEEE Dataport. http://dx.doi.org/10.21227/d95p-qz45
Saeed Sheikhzadeh, Mohsen Pourghasemian, Mohammad Reza Javan, Nader Mokari, Eduard A. Jorswieck, 2021. AI-Based Secure NOMA and Cognitive Radio enabled Green Communications: Channel State Information and Battery Value Uncertainties. Available at: http://dx.doi.org/10.21227/d95p-qz45.
Saeed Sheikhzadeh, Mohsen Pourghasemian, Mohammad Reza Javan, Nader Mokari, Eduard A. Jorswieck. (2021). "AI-Based Secure NOMA and Cognitive Radio enabled Green Communications: Channel State Information and Battery Value Uncertainties." Web.
1. Saeed Sheikhzadeh, Mohsen Pourghasemian, Mohammad Reza Javan, Nader Mokari, Eduard A. Jorswieck. AI-Based Secure NOMA and Cognitive Radio enabled Green Communications: Channel State Information and Battery Value Uncertainties [Internet]. IEEE Dataport; 2021. Available from : http://dx.doi.org/10.21227/d95p-qz45
Saeed Sheikhzadeh, Mohsen Pourghasemian, Mohammad Reza Javan, Nader Mokari, Eduard A. Jorswieck. "AI-Based Secure NOMA and Cognitive Radio enabled Green Communications: Channel State Information and Battery Value Uncertainties." doi: 10.21227/d95p-qz45