Resource Allocation in Uplink NOMA-IoT Based UAV for URLLC Applications
One of the main targets of future 5G cellular networks is enlarging the Internet of Things (IoT) devices’ connectivity while facing the challenging requirements of the available bandwidth, power and the restricted delay limits. Unmanned aerial vehicles (UAVs) have been recently used as aerial base s...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/4/1566 |
| _version_ | 1797476662704603136 |
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| author | Rana Karem Mehaseb Ahmed Fatma Newagy |
| author_facet | Rana Karem Mehaseb Ahmed Fatma Newagy |
| author_sort | Rana Karem |
| collection | DOAJ |
| description | One of the main targets of future 5G cellular networks is enlarging the Internet of Things (IoT) devices’ connectivity while facing the challenging requirements of the available bandwidth, power and the restricted delay limits. Unmanned aerial vehicles (UAVs) have been recently used as aerial base stations (BSs) to empower the line of sight (LoS), throughput and coverage of wireless networks. Moreover, non-orthogonal multiple access (NOMA) has become a bright multiple access technology. In this paper, NOMA is combined with UAV for establishing a high-capacity IoT uplink multi-application network, where the resource allocation problem is formulated with the objective of maximizing the system throughput while minimizing the delay of IoT applications. Moreover, power allocation was investigated to achieve fairness between users. The results show the superiority of the proposed algorithm, which achieves 31.8% delay improvement, 99.7% reliability increase and 50.8% fairness enhancement when compared to the maximum channel quality indicator (max CQI) algorithm in addition to preserving the system sum rate, spectral efficiency and complexity. Consequently, the proposed algorithm can be efficiently used in ultra-reliable low-latency communication (URLLC). |
| first_indexed | 2024-03-09T21:05:49Z |
| format | Article |
| id | doaj.art-0b78f4ee7e4a49149e3d9250df9ad130 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T21:05:49Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-0b78f4ee7e4a49149e3d9250df9ad1302023-11-23T22:01:33ZengMDPI AGSensors1424-82202022-02-01224156610.3390/s22041566Resource Allocation in Uplink NOMA-IoT Based UAV for URLLC ApplicationsRana Karem0Mehaseb Ahmed1Fatma Newagy2Department of Electronics and Communications Engineering, Misr International University (MIU), Cairo 11828, EgyptDepartment of Electronics and Communications Engineering, Misr International University (MIU), Cairo 11828, EgyptDepartment of Electronics and Communications Engineering, Ain Shams University (ASU), Cairo 11517, EgyptOne of the main targets of future 5G cellular networks is enlarging the Internet of Things (IoT) devices’ connectivity while facing the challenging requirements of the available bandwidth, power and the restricted delay limits. Unmanned aerial vehicles (UAVs) have been recently used as aerial base stations (BSs) to empower the line of sight (LoS), throughput and coverage of wireless networks. Moreover, non-orthogonal multiple access (NOMA) has become a bright multiple access technology. In this paper, NOMA is combined with UAV for establishing a high-capacity IoT uplink multi-application network, where the resource allocation problem is formulated with the objective of maximizing the system throughput while minimizing the delay of IoT applications. Moreover, power allocation was investigated to achieve fairness between users. The results show the superiority of the proposed algorithm, which achieves 31.8% delay improvement, 99.7% reliability increase and 50.8% fairness enhancement when compared to the maximum channel quality indicator (max CQI) algorithm in addition to preserving the system sum rate, spectral efficiency and complexity. Consequently, the proposed algorithm can be efficiently used in ultra-reliable low-latency communication (URLLC).https://www.mdpi.com/1424-8220/22/4/1566internet of thingsnon-orthogonal multiple accessresource allocationultra reliable low latency communicationunmanned aerial vehiclesuplink transmission |
| spellingShingle | Rana Karem Mehaseb Ahmed Fatma Newagy Resource Allocation in Uplink NOMA-IoT Based UAV for URLLC Applications Sensors internet of things non-orthogonal multiple access resource allocation ultra reliable low latency communication unmanned aerial vehicles uplink transmission |
| title | Resource Allocation in Uplink NOMA-IoT Based UAV for URLLC Applications |
| title_full | Resource Allocation in Uplink NOMA-IoT Based UAV for URLLC Applications |
| title_fullStr | Resource Allocation in Uplink NOMA-IoT Based UAV for URLLC Applications |
| title_full_unstemmed | Resource Allocation in Uplink NOMA-IoT Based UAV for URLLC Applications |
| title_short | Resource Allocation in Uplink NOMA-IoT Based UAV for URLLC Applications |
| title_sort | resource allocation in uplink noma iot based uav for urllc applications |
| topic | internet of things non-orthogonal multiple access resource allocation ultra reliable low latency communication unmanned aerial vehicles uplink transmission |
| url | https://www.mdpi.com/1424-8220/22/4/1566 |
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