A5044005980- Advanced MIMO Systems Optimization
- Advanced Wireless Communication Technologies
- Millimeter-Wave Propagation and Modeling
- IoT and Edge/Fog Computing
- UAV Applications and Optimization
- Energy Harvesting in Wireless Networks
- Cooperative Communication and Network Coding
- Satellite Communication Systems
- Optical Wireless Communication Technologies
- Advanced Wireless Network Optimization
- IoT Networks and Protocols
- Indoor and Outdoor Localization Technologies
- Wireless Communication Security Techniques
- Vehicular Ad Hoc Networks (VANETs)
- Power Line Communications and Noise
- Mobile Ad Hoc Networks
- Blockchain Technology Applications and Security
- Wireless Communication Networks Research
- Telecommunications and Broadcasting Technologies
- Privacy-Preserving Technologies in Data
- Age of Information Optimization
- Caching and Content Delivery
- Opportunistic and Delay-Tolerant Networks
- Microwave Engineering and Waveguides
- Cognitive Radio Networks and Spectrum Sensing
Lancaster University
2014-2024
University of Essex
2023-2024
National University of Sciences and Technology
2022
Kyung Hee University
2022
University of Johannesburg
2022
Henan Polytechnic University
2022
Royal Hospital for Children
2022
Glasgow Royal Infirmary
2022
Northumbria University
2022
University of Surrey
2017-2019
Wireless networks comprising unmanned aerial vehicles can offer limited connectivity in a cost-effective manner to disaster-struck regions where terrestrial infrastructure might have been damaged. While these drones advantages such as rapid deployment far-flung areas, their operations may be rendered ineffective by the absence of an adequate energy management strategy. This article considers multi-faceted applications platforms and challenges thereof future. In addition providing overview...
Reconfigurable intelligent surfaces (RISs), with the potential to realize smart radio environments, have emerged as an energy-efficient and a cost-effective technology support services demands foreseen for coming decades. By leveraging large number of low-cost passive reflecting elements, RISs introduce phase-shift in impinging signal create favorable propagation channel between transmitter receiver. In this article, we provide tutorial overview sixth-generation (6G) wireless networks....
In 2019, the world experienced rapid outbreak of Covid-19 pandemic creating an alarming situation worldwide. The virus targets respiratory system causing pneumonia with other symptoms such as fatigue, dry cough, and fever which can be mistakenly diagnosed pneumonia, lung cancer, or TB. Thus, early diagnosis COVID-19 is critical since disease provoke patients' mortality. Chest X-ray (CXR) commonly employed in healthcare sector where both quick precise supplied. Deep learning algorithms have...
Narrowband Internet of Things (NB-IoT) is the prominent technology that fits requirements future IoT networks. However, due to limited spectrum (i.e., 180 kHz) availability for NB-IoT systems, one key issues how efficiently use these resources support massive devices? Furthermore, in NB-IoT, reduce computation complexity and provide coverage extension, concept time offset repetition has been introduced. Considering new features, existing resource management schemes are no longer applicable....
With advances in fog and edge computing, various problems such as data processing for large Internet of Things (IoT) systems can be solved an efficient manner. One problem the next generation smart grid (SG) IoT system comprising millions devices is aggregation problem. Traditional schemes SGs incur high computation communication costs, recent years, there have been efforts to leverage computing with overcome these limitations. In this article, a new fog-enabled privacy-preserving scheme...
The emerging 5G communication network is gaining tremendous attention from mobile operators, regulators, and academia due to the provisions of densification, ultra-low latency improved spectral energy efficiencies. However, post-disaster EMS, which nowadays predominantly depends on wireless infrastructure, significantly lagging behind in terms innovation, standards, investments. Since vision revolution telecommunication industry, efficiently handling EMS expected be distributed, autonomous,...
The low earth orbit (LEO) satellite-borne edge cloud (SEC) and machine learning (ML) based semantic communication (SemCom) are both enabling technologies for 6G systems facilitating computation offloading. Nevertheless, integrating SemCom into the SEC networks user offloading introduces coder updating requirements as well additional extraction costs. Offloading in via also results new functional challenges considering, e.g., latency, energy, privacy. In this paper, we present a novel...
Internet of Things (IoT) data analytics is underpinning numerous applications, however, the task still challenging predominantly due to heterogeneous IoT streams, unreliable networks, and ever increasing size data. In this context, we propose a two-layer architecture for analyzing The first layer provides generic interface using service oriented gateway ingest from multiple interfaces systems, store it in scalable manner analyze real-time extract high-level events; whereas second responsible...
The increasing adoption of the Internet Things has led to need for systems with higher spectral and energy efficiency (EE) in order enable communication. Larger data rate demands had researchers look at millimeter wave (mmWave) bands boost network rates. This paper investigates downlink performance a three-tier heterogeneous that consists sub-6 GHz macrocells overlaid small cells operating on both mmWave bands. A model is developed using tools from stochastic geometry analyze coverage, rate,...
Blockchain is emerging as a promising candidate for the uberization of Internet services. It decentralized, secure, and auditable solution exchanging, authenticating information via transactions, without need trusted third party. Therefore, blockchain technology has recently been integrated with industrial Internet-of-things (IIoT) networks to help realize fourth revolution, Industry 4.0. Though blockchain-enabled IIoT may have potential support services demands next-generation networks, gap...
Parkinson's disease (PD) is a progressive and neurodegenerative condition causing motor impairments.One of the major related impairments that present biggest challenge freezing gait (FOG) in patients.In FOG episode, patient unable to initiate, control or sustain consequently affects Activities Daily Livings (ADLs) increases occurrence critical events such as falls.This paper presents continuous monitoring ADLs classification episodes using Wi-Fi radar imaging.The idea exploit multiresolution...
Heterogeneous backscatter networks are emerging as a promising solution to address the proliferating coverage and capacity demands of next-generation vehicular networks. However, despite its rapid evolution significance, optimization aspect such has been overlooked due their complexity scale. Motivated by this discrepancy in literature, work sheds light on novel learning-based framework for heterogeneous More specifically, article presents resource allocation user association scheme...
In this article, we investigate the application of user cooperation (UC) and non-orthogonal multiple access (NOMA) schemes for a wireless powered mobile edge computing (MEC) system under non-linear energy harvesting model, in which two single-antenna users first harvest from multi-antenna point (AP) integrated with an MEC server. Then, during computation offloading phase, both simultaneously offload tasks to server harvested energy, by performing NOMA protocol. To better enhance performance,...
Underwater Wireless Sensor Networks (UWSNs) serve as a proficient source to monitor aquatic environment. However, data communications and information routing within these systems offer many challenges. To ensure sufficient network lifetime, energy efficiency in protocols serves major concern UWSNs. This paper presents an competent cooperative scheme known Region Based Courier-nodes Mobility with Incremental Cooperative (RBCMIC) routing. The proposed uses broadcast nature of wireless nodes...
Backscatter heterogeneous networks are expected to usher a new era of massive connectivity low-powered devices. With the integration software-defined networking (SDN), such hold promise be key enabling technology for Internet-of-things (IoT) due myriad applications in industrial automation, healthcare, and logistics management. However, there many aspects SDN-based backscatter that need further development before practical realization. One challenging is high level interference reuse...
Machine learning-based semantic communication is a promising enabler for future-generation wireless network systems such as 6G networks. In practice, effective requires online training unknown content. highly mobile vehicular networks, however, reliable, and efficient model becomes significantly challenging. The existing distributed learning approaches are also unable to effectively operate in dynamic To address these challenges, we propose novel mobility-aware split-federated with transfer...
This paper proposes joint user association and energy-efficient resource allocation in the uplink of multi-user two-tier Orthogonal Frequency Division Multiplexing (OFDM) Heterogeneous Networks (HetNets) subject to user's maximum transmission power minimum-rate constraints. The proposed scheme aims at achieving high rates low powers satisfying quality-of-service (QoS) constraints (in terms minimumrate requirements) by offloading users with signal noise ratio (SNR) from macrocell pico base...
This paper proposes a joint energy efficiency (EE) and spectrum (SE) tradeoff analysis as multi-objective optimization problem (MOP) in the uplink of multi-user multi-carrier two-tier orthogonal frequency division multiplexing access heterogeneous networks subject to users' maximum transmission power minimum rate constraints. The proposed MOP is modeled such that network providers can dynamically tune parameters switch between different communication scenarios with diverse design...
Hybrid networks consisting of both millimeter wave (mmWave) and microwave <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$(\mu W)$ </tex-math></inline-formula> capabilities are strongly contested for next-generation cellular communications. A similar avenue current research is device-to-device (D2D) communications, where users establish direct links with each other rather than using central base stations....
Millimeter wave (mmWave) technology is considered as a key enabler for fifth generation (5G) networks to achieve higher data rates with low transmission power by offloading the users signal-to-noise-ratios. operating at E and W frequency bands have available bandwidth of 1 GHz or more provide whereas their propagation characteristics differ greatly from conventional Ultra High Frequency (UHF) sub 6 band. The purpose this paper investigate performance in terms coverage rate, hybrid cellular...
Today, dense network deployment is being considered as one of the effective strategies to meet capacity and connectivity demands fifth-generation (5G) cellular system. Among several challenges, energy consumption will be a critical consideration in 5G era. In this direction, base station (BS) on/off operation (sleep mode) an technique for mitigating excessive ultradense networks. However, current implementation unsuitable dynamic networks with fluctuating traffic profiles because coverage...
Summary There is an abundant expansion in the race of technology, specifically production data, because smart devices, such as mobile phones, cards, sensors, and Internet Things (IoT). Smart phones devices have undergone enormous evolution a way that they can be used. More more new applications, face recognition, augmented reality, online interactive gaming, natural language processing are emerging attracting users. Such applications generally data intensive or compute intensive, which...