no code implementations • IEEE TRANSACTIONS ON RELIABILITY 2024 • Ali Ranjha
In this article, we consider UAV-enabled relaying for MEC systems for uplink transmissions in 6-G networks, and we aim to optimize mission completion time subject to the constraints of resource allocation, including UAV transmit power, UAV CPU frequency, decoding error rate, blocklength, communication bandwidth, and task partitioning as well as 3-D UAV positioning.
Edge-computing Hardware Architecture
no code implementations • IEEE Transactions on Industrial Cyber-Physical Systems (CFP) 2024 • Ali Ranjha
In the rapidly evolving landscape of intelligent mobile devices and the impending 6G networks, the Integrated Sensing Digital Framework (ISDF) emerges as a transformative force within the Internet of Things (IoT), offering unprecedented opportunities for real-time data collection.
no code implementations • 24 Jan 2023 • Mostafa Hussien, Islam A. T. F. Taj-Eddin, Mohammed F. A. Ahmed, Ali Ranjha, Kim Khoa Nguyen, Mohamed Cheriet
Furthermore, we provide an overview of the ML techniques that have been considered in this context.
no code implementations • IEEE Open Journal of the Communications Society 2022 • Ali Ranjha
Furthermore, in general, the proposed UAV-sensing assisted ICIC and perfect ICIC algorithms yield better performance when compared to conventional ICIC for both uplink and downlink for the single and multi-UAV frameworks.
Fairness Hardware Architecture
no code implementations • 2 Oct 2022 • Wali Ullah Khan, Asad Mahmood, Arash Bozorgchenani, Muhammad Ali Jamshed, Ali Ranjha, Eva Lagunas, Haris Pervaiz, Symeon Chatzinotas, Björn Ottersten, Petar Popovski
This paper first describes the introduction of 6G-empowered V2X communications and IRS technology.
no code implementations • IEEE Transactions on Industrial Informatics 2021 • Ali Ranjha
Moreover, this paper employs perturbation theory and studies the quasi-optimization of the UAV’s location, height, beamwidth, and resource allocation, including time-varying power and blocklength for the two phases of transmission from the controller to UAV and from UAV to robots.
Hardware Architecture
no code implementations • IEEE Transactions on Vehicular Technology 2021 • Ali Ranjha
The proposed method yields optimal blocklength allocation and power control for the two transmission phases, i. e., from the source node to the UAV and from the UAV to the robot acting as a ground station.
Position Trajectory Planning Hardware Architecture
no code implementations • IEEE Internet of Things Journal 2020 • Ali Ranjha
Efficient resource allocation can maximize power efficiency, which is an important performance metric in future fifth-generation (5G) communications.
Position Hardware Architecture
no code implementations • IEEE Wireless Communications Letters 2019 • Ali Ranjha
Achieving ultra-high reliability for short packets is a core challenge for future wireless communication systems, as current systems are designed only to transmit long packets based on classical information-theoretic principles.
Hardware Architecture