Search Results for author: Salman Durrani

Found 9 papers, 0 papers with code

IoT Ground Sensing Systems for Early Wildfire Detection: Technologies, Challenges and Opportunities

no code implementations18 Dec 2023 Chiu Chun Chan, Sheeraz A. Alvi, Xiangyun Zhou, Salman Durrani, Nicholas Wilson, Marta Yebra

Challenges related to the development and implementation of IoT ground sensing systems for early wildfire detection and the future research directions important for creating a robust detection system to combat the growing threat of wildfires worldwide are discussed.

Anomaly Detection

Outage Performance of Multi-tier UAV Communication with Random Beam Misalignment

no code implementations24 Jul 2023 WeiHao Wang, Zesong Fei, Jing Guo, Salman Durrani, Halim Yanikomeroglu

In particular, we propose a tractable random model to capture the impacts of beam misalignment in the 3D space.

UAV-assisted IoT Monitoring Network: Adaptive Multiuser Access for Low-Latency and High-Reliability Under Bursty Traffic

no code implementations25 Apr 2023 Nilupuli Senadhira, Salman Durrani, Sheeraz A. Alvi, Nan Yang, Xiangyun Zhou

In this work, we propose an adaptive system design for an Internet of Things (IoT) monitoring network with latency and reliability requirements, where IoT devices generate time-critical and event-triggered bursty traffic, and an unmanned aerial vehicle (UAV) aggregates and relays sensed data to the base station.

Joint User and Data Detection in Grant-Free NOMA with Attention-based BiLSTM Network

no code implementations14 Sep 2022 Saud Khan, Salman Durrani, Muhammad Basit Shahab, Sarah J. Johnson, Seyit Camtepe

We assume that IoT devices use complex spreading sequences and transmit information in a random-access manner following the burst-sparsity model, where some IoT devices transmit their data in multiple adjacent time slots with a high probability, while others transmit only once during a frame.

Federated Learning Cost Disparity for IoT Devices

no code implementations17 Apr 2022 Sheeraz A. Alvi, Yi Hong, Salman Durrani

We model the learning gain achieved by an IoT device against its participation cost as its utility.

Federated Learning

Spectrum Allocation with Adaptive Sub-band Bandwidth for Terahertz Communication Systems

no code implementations10 Nov 2021 Akram Shafie, Nan Yang, Sheeraz Alvi, Chong Han, Salman Durrani, Josep M. Jornet

Aided by numerical results, we show that by enabling and optimizing ASB, significantly higher throughput can be achieved as compared to adopting equal sub-band bandwidth, and this throughput gain is most profound when the power budget constraint is more stringent.

Utility Fairness for the Differentially Private Federated Learning

no code implementations11 Sep 2021 Sheeraz A. Alvi, Yi Hong, Salman Durrani

We identify that this results in utility unfairness because the same global model is shared among the devices.

Fairness Federated Learning

Coverage Analysis for 3D Terahertz Communication Systems

no code implementations20 Apr 2021 Akram Shafie, Nan Yang, Salman Durrani, Xiangyun Zhou, Chong Han, Markku Juntti

We conduct novel coverage probability analysis of downlink transmission in a three-dimensional (3D) terahertz (THz) communication (THzCom) system.

Coverage Analysis for 3D Terahertz Communication Systems with Blockage and Directional Antennas

no code implementations16 Apr 2020 Akram Shafie, Nan Yang, Zhuo Sun, Salman Durrani

We further show that the coverage performance improvement brought by increasing the antenna directivity at APs is higher than that brought by increasing the antenna directivity at UEs.

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