Shah, Syed Tariq and Fazal, Maheen and Shawky, Mahmoud A and Sohaib, Rana M and Hasan, Syed Faraz and Imran, M Ali and Abbasi, Qammer H (2024) Throughput Optimization in Ambient Backscatter-Based Energy Constraint Cognitive Radio Networks. In: IEEE International Conference on Communications (ICC) 2024, 2024-06-09 - 2024-06-13, Denver, CO, USA. (In Press)
Shah, Syed Tariq and Fazal, Maheen and Shawky, Mahmoud A and Sohaib, Rana M and Hasan, Syed Faraz and Imran, M Ali and Abbasi, Qammer H (2024) Throughput Optimization in Ambient Backscatter-Based Energy Constraint Cognitive Radio Networks. In: IEEE International Conference on Communications (ICC) 2024, 2024-06-09 - 2024-06-13, Denver, CO, USA. (In Press)
Shah, Syed Tariq and Fazal, Maheen and Shawky, Mahmoud A and Sohaib, Rana M and Hasan, Syed Faraz and Imran, M Ali and Abbasi, Qammer H (2024) Throughput Optimization in Ambient Backscatter-Based Energy Constraint Cognitive Radio Networks. In: IEEE International Conference on Communications (ICC) 2024, 2024-06-09 - 2024-06-13, Denver, CO, USA. (In Press)
Abstract
Efficient utilisation of scarce resources, mainly radio and power, are the key research issues in the future Internet of Things (IoT) networks. This paper proposes an ambient energy harvesting and backscatter-enabled, energy-constrained cognitive IoT network. In our proposed scheme, the nodes in the secondary network efficiently utilise the primary network. More specifically, depending on the communication states (i.e. between busy or idle) of the primary network, the secondary nodes chose to operate either in energy harvesting mode (EHM), backscattering mode (BSM), or radio-frequency transmission mode (RFM). Furthermore, to maximise the sum-throughput of the secondary network, an optimisation problem is formulated and solved. The simulation results show that the proposed scheme outperforms the existing scheme regarding network sum-throughput.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | ambient backscattering; cognitive IoT networks; IoT; RF energy harvesting |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 02 Aug 2024 14:51 |
Last Modified: | 04 Sep 2024 06:49 |
URI: | http://repository.essex.ac.uk/id/eprint/38138 |
Available files
Filename: Throughput Optimization in Ambient Backscatter-Based Energy Constraint Cognitive Radio Networks.pdf