Opportunistic Throughput Optimization in Energy Harvesting Dynamic Spectrum Sharing Wireless Networks
<p dir="ltr">We investigate opportunistic transmissions in a time-slotted wireless network, emphasizing constraints arising from finite durations allocated to various network operations and the availability of energy for these operations. Each time frame (time slot) comprises three s...
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2024
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| _version_ | 1864513509769871360 |
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| author | Amirhossein Taherpour (19273879) |
| author2 | Abbas Taherpour (19273882) Tamer Khattab (16870086) Mohamed Abdallah (3073191) |
| author2_role | author author author |
| author_facet | Amirhossein Taherpour (19273879) Abbas Taherpour (19273882) Tamer Khattab (16870086) Mohamed Abdallah (3073191) |
| author_role | author |
| dc.creator.none.fl_str_mv | Amirhossein Taherpour (19273879) Abbas Taherpour (19273882) Tamer Khattab (16870086) Mohamed Abdallah (3073191) |
| dc.date.none.fl_str_mv | 2024-03-08T06:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/ojcoms.2024.3366155 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Opportunistic_Throughput_Optimization_in_Energy_Harvesting_Dynamic_Spectrum_Sharing_Wireless_Networks/26421706 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Communications engineering Information and computing sciences Data management and data science Distributed computing and systems software communications energy harvesting cognitive radios network optimization Internet of Things Sensors Optimization Energy harvesting Throughput Wireless networks Batteries |
| dc.title.none.fl_str_mv | Opportunistic Throughput Optimization in Energy Harvesting Dynamic Spectrum Sharing Wireless Networks |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">We investigate opportunistic transmissions in a time-slotted wireless network, emphasizing constraints arising from finite durations allocated to various network operations and the availability of energy for these operations. Each time frame (time slot) comprises three sub-frames: sensing, reporting, and either transmission or energy harvesting based on the presence or absence of the primary user. We assume a fixed duration for the transmission sub-frame within each time frame. Utilizing a time division multiple access (TDMA) protocol, we manage local sensing data reporting within each time frame; consequently, the reporting time is contingent on the number of users. As a result, with the total time allocated for sensing and reporting being fixed, a trade-off arises between the number of collaborating users and the number of samples. Additionally, energy limitations and causality lead to two scenarios for wireless network operation: energy-deficit and energy-surplus regimes. To address this complexity, we formulate an optimization problem aimed at maximizing overall network throughput while considering constraints imposed by finite durations for various network operations and energy availability. We provide analytical evidence of the convexity of the optimization problem in both energy-deficit and energy-surplus scenarios. Furthermore, we propose two algorithms designed to achieve optimal throughput for each scenario. The accuracy of our analyses is validated through Monte Carlo simulations. Numerical results demonstrate the effectiveness of our proposed approach.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Open Journal of the Communications Society<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/ojcoms.2024.3366155" target="_blank">https://dx.doi.org/10.1109/ojcoms.2024.3366155</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_9963633c6b4d3e7bf414dc6799b4a9ab |
| identifier_str_mv | 10.1109/ojcoms.2024.3366155 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/26421706 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Opportunistic Throughput Optimization in Energy Harvesting Dynamic Spectrum Sharing Wireless NetworksAmirhossein Taherpour (19273879)Abbas Taherpour (19273882)Tamer Khattab (16870086)Mohamed Abdallah (3073191)EngineeringCommunications engineeringInformation and computing sciencesData management and data scienceDistributed computing and systems softwarecommunicationsenergy harvestingcognitive radiosnetwork optimizationInternet of ThingsSensorsOptimizationEnergy harvestingThroughputWireless networksBatteries<p dir="ltr">We investigate opportunistic transmissions in a time-slotted wireless network, emphasizing constraints arising from finite durations allocated to various network operations and the availability of energy for these operations. Each time frame (time slot) comprises three sub-frames: sensing, reporting, and either transmission or energy harvesting based on the presence or absence of the primary user. We assume a fixed duration for the transmission sub-frame within each time frame. Utilizing a time division multiple access (TDMA) protocol, we manage local sensing data reporting within each time frame; consequently, the reporting time is contingent on the number of users. As a result, with the total time allocated for sensing and reporting being fixed, a trade-off arises between the number of collaborating users and the number of samples. Additionally, energy limitations and causality lead to two scenarios for wireless network operation: energy-deficit and energy-surplus regimes. To address this complexity, we formulate an optimization problem aimed at maximizing overall network throughput while considering constraints imposed by finite durations for various network operations and energy availability. We provide analytical evidence of the convexity of the optimization problem in both energy-deficit and energy-surplus scenarios. Furthermore, we propose two algorithms designed to achieve optimal throughput for each scenario. The accuracy of our analyses is validated through Monte Carlo simulations. Numerical results demonstrate the effectiveness of our proposed approach.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Open Journal of the Communications Society<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/ojcoms.2024.3366155" target="_blank">https://dx.doi.org/10.1109/ojcoms.2024.3366155</a></p>2024-03-08T06:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/ojcoms.2024.3366155https://figshare.com/articles/journal_contribution/Opportunistic_Throughput_Optimization_in_Energy_Harvesting_Dynamic_Spectrum_Sharing_Wireless_Networks/26421706CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/264217062024-03-08T06:00:00Z |
| spellingShingle | Opportunistic Throughput Optimization in Energy Harvesting Dynamic Spectrum Sharing Wireless Networks Amirhossein Taherpour (19273879) Engineering Communications engineering Information and computing sciences Data management and data science Distributed computing and systems software communications energy harvesting cognitive radios network optimization Internet of Things Sensors Optimization Energy harvesting Throughput Wireless networks Batteries |
| status_str | publishedVersion |
| title | Opportunistic Throughput Optimization in Energy Harvesting Dynamic Spectrum Sharing Wireless Networks |
| title_full | Opportunistic Throughput Optimization in Energy Harvesting Dynamic Spectrum Sharing Wireless Networks |
| title_fullStr | Opportunistic Throughput Optimization in Energy Harvesting Dynamic Spectrum Sharing Wireless Networks |
| title_full_unstemmed | Opportunistic Throughput Optimization in Energy Harvesting Dynamic Spectrum Sharing Wireless Networks |
| title_short | Opportunistic Throughput Optimization in Energy Harvesting Dynamic Spectrum Sharing Wireless Networks |
| title_sort | Opportunistic Throughput Optimization in Energy Harvesting Dynamic Spectrum Sharing Wireless Networks |
| topic | Engineering Communications engineering Information and computing sciences Data management and data science Distributed computing and systems software communications energy harvesting cognitive radios network optimization Internet of Things Sensors Optimization Energy harvesting Throughput Wireless networks Batteries |