Explanipedia

Robust and Ubiquitous Connectivity Enabled by Unified Integrated and Secure NTN Open

Evangelos Xenos, Shuping Dang, Simon Armour, Andrew C. M. Austin, Mark A Beach · 2025

Hardware-in-the-Loop Evaluation of Goodness of Fit (GoF) Testing for Dynamic Spectrum Sharing Open

Mir Lodro, Simon Armour, Mark A Beach · 2025

In contrast to parametric spectrum sensing, non-parametric spectrum sensing can effectively detect the primary user's presence or absence without prior information about the primary user. Particularly, non-parametric spectrum sensing can b…

IoT Firmware Version Identification Using Transfer Learning with Twin Neural Networks Open

Ashley Andrews, George Oikonomou, Simon Armour, Paul Thomas, Thomas Cattermole · 2025

As the Internet of Things (IoT) becomes more embedded within our daily lives, there is growing concern about the risk `smart' devices pose to network security. To address this, one avenue of research has focused on automated IoT device ide…

Unified Performance Analysis of Wireless Systems Under Mobility and Generalized Fading: Applications to Diversity Reception, UAV-to-UAV Links, and IRS-Enabled Systems Open

Evangelos Xenos, Andrew C. M. Austin, Simon Armour, Mark A Beach, Kostas P. Peppas · 2025

This paper introduces a comprehensive framework for assessing the performance of wireless communication systems under mobility conditions. Receiver mobility is modeled using the Random Waypoint (RWP) mobility model. The proposed analysis i…

IoT Device Identification Techniques: A Comparative Analysis for Security Practitioners Open

Ashley Andrews, George Oikonomou, Simon Armour, Paul Thomas, Thomas Cattermole · 2025

As the Internet of Things (IoT) continues to grow, networks are increasingly at risk from vulnerable devices that allow access to attackers. Two particular threats are posed by rogue devices (i.e. devices present on a network that should n…

Granular IoT Device Identification Using TF-IDF and Cosine Similarity Open

Ashley Andrews, George Oikonomou, Simon Armour, Paul Thomas, Thomas Cattermole · 2023

Internet of things (IoT) devices are becoming more prevalent in home environments and are shown to be generally insecure. There have been many previous studies looking to identify unknown IoT devices on networks. To truly secure a network …

Table of Contents Open

Sharief Abdel‐Razeq, Haythem Bany Salameh, Haitham Al‐Obiedollah, Mohammad Abu Mhana, Ala’ Khalifeh , et al. · 2022

Towards Multi-Criteria Heuristic Optimization for Computational Offloading in Multi-Access Edge Computing Open

Raghubir Singh, Simon Armour, Aftab Khan, Mahesh Sooriyabandara, George Oikonomou · 2021

In recent years, there has been considerable interest in computational offloading algorithms. The interest is mainly driven by the potential savings that offloading offers in task completion time and mobile device energy consumption. This …

Identification of the Key Parameters for Computational Offloading in Multi-Access Edge Computing Open

Raghubir Singh, Simon Armour, Aftab Khan, Mahesh Sooriyabandara, George Oikonomou · 2020

Computational offloading is a strategy by which mobile device (MD) users can access the superior processing power of a Multi-Access Edge Computing (MEC) server network. This paper investigates the impact of CPU workloads (on both the user …

The Advantage of Computation Offloading in Multi-Access Edge Computing Open

Raghubir Singh, Simon Armour, Aftab Khan, Mahesh Sooriyabandara, George Oikonomou · 2019

Computation offloading plays a critical role in reducing task completion time for mobile devices. The advantages of computation offloading to cloud resources in Mobile Cloud Computing have been widely considered. In this paper, we have inv…

Employing Ray-Tracing and Least-Squares Support Vector Machines for Localisation Open

Benny Chitambira, Simon Armour, Stephen Wales, Mark A Beach · 2018

This article evaluates the use of least-squares support vector machines, with ray-traced data, to solve the problem of localisation in multipath environments. The schemes discussed concern 2-D localisation, but could easily be extended to …

Achievable Rates and Training Overheads for a Measured LOS Massive MIMO Channel Open

Paul Harris, Wael Boukley Hasan, Liang Liu, Steffen Malkowsky, Mark A Beach , et al. · 2018

This paper presents achievable uplink (UL) sumrate predictions for a measured line-of-sight (LOS) massive multiple-input, multiple-output (MIMO) (MMIMO) scenario and illustrates the trade-off between spatial multiplexing performance and ch…

Millimeter wave channel measurements in a railway depot Open

Berna Bulut, Thomas Barratt, Di Kong, Jue Cao, Alberto Loaiza Freire , et al. · 2017

Millimeter wave (mmWave) communication is a key enabling technology with the potential to deliver high capacity, high peak data rate communications for future railway services. Knowledge of the radio characteristics is of paramount importa…

Performance Characterization of a Real-Time Massive MIMO System With LOS Mobile Channels Open

Paul Harris, Steffen Malkowsky, Joao Vieira, Erik Bengtsson, Fredrik Tufvesson , et al. · 2017

The first measured results for massive MIMO performance in a line-of-sight\n(LOS) scenario with moderate mobility are presented, with 8 users served in\nreal-time using a 100-antenna base Station (BS) at 3.7 GHz. When such a large\nnumber …

Temporal Analysis of Measured LOS Massive MIMO Channels with Mobility Open

Paul Harris, Steffen Malkowsky, Joao Vieira, Fredrik Tufvesson, Wael Boukley Hasan , et al. · 2017

The first measured results for massive multiple-input, multiple-output (MIMO) performance in a line-of-sight (LOS) scenario with moderate mobility are presented, with 8 users served by a 100 antenna base Station (BS) at 3.7 GHz. When such …

NLOS Identification and Mitigation for Geolocation Using Least-Squares Support Vector Machines Open

Benny Chitambira, Simon Armour, Stephen Wales, Mark A Beach · 2017

This paper examines the problem of non-line-of- sight (NLOS) identification and mitigation for geolocation signals in mobile networks. A ray tracing tool is used to simulate a mobile radio network with fixed base stations and thousands of …

Serving 22 Users in Real-Time with a 128-Antenna Massive MIMO Testbed Open

Paul Harris, Wael Boukley Hasan, Steffen Malkowsky, Joao Vieira, Siming Zhang , et al. · 2016

This paper presents preliminary results for a novel 128-antenna massive Multiple-Input, Multiple-Output (MIMO) testbed developed through Bristol Is Open in collaboration with National Instruments and Lund University. We believe that the re…

Impact of Smart Metering Data Aggregation on Distribution System State Estimation Open

Qipeng Chen, Dritan Kaleshi, Zhong Fan, Simon Armour · 2016

Pseudo medium/low voltage (MV/LV) transformer loads are usually used as partial inputs to the distribution system state estimation (DSSE) in MV systems. Such pseudo load can be represented by the aggregation of smart metering (SM) data. Th…

Mitigating inter-cluster interference on the uplink for a three-cell clustered cooperative network Open

Ajay Thampi, Simon Armour, Zhong Fan, Dritan Kaleshi · 2016

In this paper, we propose a practical and scalable solution to mitigating interference on the uplink through static clustering and adaptive fractional frequency reuse (CFFR). The focus is on a three-cell clustered network due to its low co…

An efficient beam training technique for mmWave communication under NLoS channel conditions Open

Wenfang Yuan, Simon Armour, Angela Doufexi · 2016

An efficient codebook-based beam training technique is proposed for mmWave communication systems operating under non-line-of-sight (NLoS) channel conditions. Using convex optimization theory, this technique formulates the beam training pro…

Physical-Layer Network Coding in Two-Way Heterogeneous Cellular Networks With Power Imbalance Open

Ajay Thampi, Soung Chang Liew, Simon Armour, Zhong Fan, Lizhao You , et al. · 2016

The growing demand for high-speed data, quality of service (QoS) assurance and energy efficiency has triggered the evolution of 4G LTE-A networks to 5G and beyond. Interference is still a major performance bottleneck. This paper studies th…

Rule Induction-Based Knowledge Discovery for Energy Efficiency Open

Qipeng Chen, Zhong Fan, Dritan Kaleshi, Simon Armour · 2015

Rule induction is a practical approach to knowledge discovery. Provided that a problem is developed, rule induction is able to return the knowledge that addresses the goal of this problem as if-then rules. The primary goals of knowledge di…

Near-Optimal Resource Allocation in Cooperative Cellular Networks Using Genetic Algorithms Open

Zihan Luo, Simon Armour, J.P. McGeehan · 2015

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