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Resource Allocation in Uplink NOMA-IoT Based UAV for URLLC Applications.

Rana Karem^1,2, Mehaseb Ahmed¹, Fatma Newagy²

¹Department of Electronics and Communications Engineering, Misr International University (MIU), Cairo 11828, Egypt.

Sensors (Basel, Switzerland)

|February 26, 2022

Summary

This study combines Unmanned Aerial Vehicles (UAVs) with Non-Orthogonal Multiple Access (NOMA) to enhance Internet of Things (IoT) connectivity. The proposed algorithm significantly improves delay, reliability, and fairness for IoT applications in 5G networks.

Keywords:

internet of things non-orthogonal multiple access resource allocation ultra reliable low latency communication unmanned aerial vehicles uplink transmission

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Area of Science:

Wireless Communication Networks
Internet of Things (IoT)
Aerial Base Stations

Background:

Future 5G networks aim to expand Internet of Things (IoT) connectivity, facing challenges in bandwidth, power, and latency.
Unmanned Aerial Vehicles (UAVs) are increasingly utilized as aerial base stations to improve wireless network performance.
Non-Orthogonal Multiple Access (NOMA) is a key technology for enhancing multiple access capabilities.

Purpose of the Study:

To develop a high-capacity IoT uplink network by integrating NOMA with UAVs.
To optimize resource allocation for maximizing system throughput and minimizing IoT application delay.
To investigate power allocation strategies for ensuring user fairness.

Main Methods:

Formulation of a resource allocation problem for a NOMA-UAV integrated IoT network.
Implementation of an algorithm to maximize system throughput and minimize application delay.
Investigation of power allocation techniques to achieve user fairness.

Main Results:

The proposed algorithm demonstrated a 31.8% improvement in delay and a 99.7% increase in reliability compared to the max CQI algorithm.
A 50.8% enhancement in fairness was achieved while maintaining system sum rate and spectral efficiency.
The algorithm proved effective in preserving system complexity.

Conclusions:

The developed NOMA-UAV integrated algorithm offers superior performance for IoT connectivity in 5G networks.
The proposed approach is suitable for ultra-reliable low-latency communication (URLLC) applications.
This integration provides a robust solution for enhancing IoT network capacity, reliability, and fairness.