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 b...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2022-02, Vol.22 (4), p.1566
Main Authors: Karem, Rana, Ahmed, Mehaseb, Newagy, Fatma
Format: Article
Language:English
Subjects:
Algorithms
Communication
Delay
Drone aircraft
Energy efficiency
Internet of Things
Line of sight
Network latency
non-orthogonal multiple access
Nonorthogonal multiple access
Power management
Resource allocation
Scheduling
Telecommunication systems
ultra reliable low latency communication
Unmanned aerial vehicles
uplink transmission
Uplinking
Wireless networks
Wireless telecommunications equipment
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Summary: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).
ISSN:1424-8220
1424-8220
DOI:10.3390/s22041566