Resource allocation for multi-cell full-duplex wireless powered communication networks
Abstract Wireless powered communication networks (WPCNs) are crucial in achieving perpetual lifetime for the machine-type communication (MTC) and Internet of things (IoT) in fifth-generation (5G) communication and beyond networks. Practical WPCNs cover a broad region and have a significant number of...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2024-12-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
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| Online Access: | https://doi.org/10.1186/s13638-024-02412-1 |
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| _version_ | 1841559922002624512 |
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| author | Muhammad Shahid Iqbal Yalcin Sadi Syed Adil Abbas Kazmi Sinem Coleri |
| author_facet | Muhammad Shahid Iqbal Yalcin Sadi Syed Adil Abbas Kazmi Sinem Coleri |
| author_sort | Muhammad Shahid Iqbal |
| collection | DOAJ |
| description | Abstract Wireless powered communication networks (WPCNs) are crucial in achieving perpetual lifetime for the machine-type communication (MTC) and Internet of things (IoT) in fifth-generation (5G) communication and beyond networks. Practical WPCNs cover a broad region and have a significant number of sensors, requiring multi-cell deployment. We investigate the minimum length scheduling problem for a multi-cell full-duplex WPCNs to find the optimal power and schedule by considering the simultaneous transmission, maximum transmit power and energy causality constraints for the users. The optimization problem to minimize the schedule length is combinatorial, thus, difficult to find the global optimum solution. To overcome this, we divide the problem into two subproblems, i.e., power control problem (PCP) and the scheduling problem. Then, we present the optimal polynomial time algorithm for the PCP based on the use of the bisection method and evaluation of the Perron–Frobenius criteria. Then, by using the PCP solution, we calculate the optimal transmission time for the users that are scheduled by the scheduling algorithm. For the scheduling problem, we define a penalty function that represents the gain of simultaneous transmission over the individual transmission of the users and we show that the minimization of schedule length is similar to the minimization of sum of penalties. Following the optimum analysis of the proposed penalty metric, we present a heuristic algorithm that tries to minimize the sum penalties of the simultaneously transmitting users over the schedule. Through extensive simulations, we show significant gains of scheduling for concurrent transmissions over individual transmissions. |
| format | Article |
| id | doaj-art-e16125c718da4b3aad296ba95dff01a8 |
| institution | Kabale University |
| issn | 1687-1499 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Wireless Communications and Networking |
| spelling | doaj-art-e16125c718da4b3aad296ba95dff01a82025-01-05T12:05:05ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992024-12-012024112010.1186/s13638-024-02412-1Resource allocation for multi-cell full-duplex wireless powered communication networksMuhammad Shahid Iqbal0Yalcin Sadi1Syed Adil Abbas Kazmi2Sinem Coleri3Department of Electrical Engineering, National University of TechnologyDepartment of Electrical and Electronics Engineering, Kadir Has University5 G Research Engineer, Opticoms GmbHDepartment of Electrical and Electronics Engineering, Koc UniversityAbstract Wireless powered communication networks (WPCNs) are crucial in achieving perpetual lifetime for the machine-type communication (MTC) and Internet of things (IoT) in fifth-generation (5G) communication and beyond networks. Practical WPCNs cover a broad region and have a significant number of sensors, requiring multi-cell deployment. We investigate the minimum length scheduling problem for a multi-cell full-duplex WPCNs to find the optimal power and schedule by considering the simultaneous transmission, maximum transmit power and energy causality constraints for the users. The optimization problem to minimize the schedule length is combinatorial, thus, difficult to find the global optimum solution. To overcome this, we divide the problem into two subproblems, i.e., power control problem (PCP) and the scheduling problem. Then, we present the optimal polynomial time algorithm for the PCP based on the use of the bisection method and evaluation of the Perron–Frobenius criteria. Then, by using the PCP solution, we calculate the optimal transmission time for the users that are scheduled by the scheduling algorithm. For the scheduling problem, we define a penalty function that represents the gain of simultaneous transmission over the individual transmission of the users and we show that the minimization of schedule length is similar to the minimization of sum of penalties. Following the optimum analysis of the proposed penalty metric, we present a heuristic algorithm that tries to minimize the sum penalties of the simultaneously transmitting users over the schedule. Through extensive simulations, we show significant gains of scheduling for concurrent transmissions over individual transmissions.https://doi.org/10.1186/s13638-024-02412-1RF Energy harvestingWireless powered communication networksMulti-cell networkSchedulingPower control |
| spellingShingle | Muhammad Shahid Iqbal Yalcin Sadi Syed Adil Abbas Kazmi Sinem Coleri Resource allocation for multi-cell full-duplex wireless powered communication networks EURASIP Journal on Wireless Communications and Networking RF Energy harvesting Wireless powered communication networks Multi-cell network Scheduling Power control |
| title | Resource allocation for multi-cell full-duplex wireless powered communication networks |
| title_full | Resource allocation for multi-cell full-duplex wireless powered communication networks |
| title_fullStr | Resource allocation for multi-cell full-duplex wireless powered communication networks |
| title_full_unstemmed | Resource allocation for multi-cell full-duplex wireless powered communication networks |
| title_short | Resource allocation for multi-cell full-duplex wireless powered communication networks |
| title_sort | resource allocation for multi cell full duplex wireless powered communication networks |
| topic | RF Energy harvesting Wireless powered communication networks Multi-cell network Scheduling Power control |
| url | https://doi.org/10.1186/s13638-024-02412-1 |
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