A5101733490- Energy, Environment, Economic Growth
- Energy, Environment, and Transportation Policies
- Caching and Content Delivery
- Energy and Environment Impacts
- Opportunistic and Delay-Tolerant Networks
- Photovoltaic System Optimization Techniques
- Solar Radiation and Photovoltaics
- Cooperative Communication and Network Coding
- Advanced MIMO Systems Optimization
- Climate Change Policy and Economics
- Fiscal Policy and Economic Growth
- Solar Thermal and Photovoltaic Systems
- UAV Applications and Optimization
- Municipal Solid Waste Management
- solar cell performance optimization
- Psychological Well-being and Life Satisfaction
- Human Mobility and Location-Based Analysis
- Microgrid Control and Optimization
- Employee Performance and Management
- Leadership, Behavior, and Decision-Making Studies
- Distributed Control Multi-Agent Systems
- Advanced Wireless Communication Technologies
- Global Financial Crisis and Policies
- Environmental Impact and Sustainability
- Probability and Risk Models
Shenzhen University
2024-2025
Multimedia University
2024
Government of Khyber Pakhtunkhwa
2024
World Health Organization
2024
China University of Geosciences
2021-2023
Farooq Hospital
2023
Lahore General Hospital
2023
Jinnah Postgraduate Medical Center
2023
Allama Iqbal Medical College
2023
Iqra National University
2022
Device-to-device (D2D) communication is continuously evolving and engulfing a wide diversity of proximate services applications, which considered as one the key technologies in 5G ecosystem. It argued that direct communications paradigm advantages may not be entirely captured without embracing concepts social-domain. Following explosion social networks smart mobile devices, social-interactions among users enable promotion D2D co-operations. In this paper, we first present systematic overview...
Wireless data traffic is growing unprecedentedly and it may impede network performance by consuming an ever-greater amount of bandwidth. With the advancement in technology there exist profound techniques having potentials to improve wireless networks. Artificial Intelligence (AI) one such evolving that enables systems take intelligent decisions. AI can be incorporated networks for performing optimal caching based on accurate predictions users' requests popularity profile. AI-based a...
ABSTRACT Green digital financial mechanisms, climate change technological development, and environmentally adjusted multifactor productivity through fintech innovations ensure renewable energy infrastructure adaptation solutions by mobilizing capital toward green projects technologies. The study investigates the interplay between finance, technologies, productivity, environmental sustainability in G20 countries from 2002 to 2021. relationship is examined using Method of Moments Quantile...
This study presents a coplanar waveguide (CPW)-fed monopole antenna engineered for super-wideband (SWB) applications. The is designed to resonate at frequencies ranging from 2.44 GHz over 25 GHz. prototype built on an F4B substrate with dimensions of 34 × 36 mm2 and thickness 1 mm. distance the ground feed line calibrated 0.20 mm good impedance matching. suggested demonstrates average gain 4.90 dB maximum peak 6.0 dB, making it suitable high-performance Incorporating rectangular...
Device-to-device (D2D) communication standardization is underway and considered as one of the key technologies in 5G ecosystem. Eavesdropping a well-known security risk for D2D communications. Thus, ensuring information both cellular users (CUs) pairs an underlay network quite challenging. In this paper, we look into problem physical-layer secure transmission jointly with resource allocation Existing research works networks perfect channel state (CSI), which usually unrealistic practical due...
The surge of data traffic in wireless networks necessitates the provision high-quality services to meet users' satisfaction levels. However, limited spectral resources current network infrastructures and inherent challenges achieving reliable line-of-sight (LoS) probability for ground users (GUs) urban environments often lead disruption communication delivery. This paper aims address frequent handover (HO) failures disrupted mobile GUs by deploying an unmanned aerial vehicle as a flying base...
Performance of the photovoltaic (PV) system is highly dependent on ambient conditions i.e irradiation and temperature. It has non-linear P-V characteristics that will vary with temperature, which affect output power PV array. This nonlinear behavior becomes more complex in partial shading rapidly changing conditions. Conventional Maximum Power Point Tracking (MPPT) methods fail to track extract maximum from array such Another problem conventional steady state oscillations. All these factors...
Photovoltaic (PV) panel can be represented by an equivalent electric circuit where the major problem with this PV model is determination of parameters. In paper, parameter estimation converted to optimization Differential Evolution (DE) as efficient optimizing technique employed estimate parameters at standard test condition (STC) (1000 W/m2 and 25°C) using data provided manufacturer. A complete developed in MATLAB/Simulink estimated values are verified comparing determined I-V curves...
Data caching is a promising technique to alleviate the data traffic burden from backhaul and minimize access delay. However, cache capacity constraint poses significant challenge obtaining content through resource that degrades performance. In this paper, we propose novel two-tier mechanism for on mobile user equipment (UE) small base station (SBS) level in ultra-dense 6G heterogeneous networks reducing failure via resources. The enables users retrieve their desired resources...
This research aimed to determine the dynamic endogeneity nexus among energy consumption (EC), financial development (FD), foreign direct investment (FDI), globalization (GI), and urbanization (URBAN). The study used 64 countries’ annual panel data on “the Belt Road Initiative (BRI)” from 2009 2019. Moreover, it employed a two-step system GMM, robust results, that indicates are positively correlated with consumption, suggesting these two factors raise demand. Contrastingly, negatively impacts...
User Equipment (UE) is equipped with limited cache resources that can be utilized to offload data traffic through device-to-device (D2D) communications. Data caching at a UE level has the potential significantly alleviate burden from backhaul link. Moreover, in wireless networks, users exhibit mobility poses serious challenges successful transmission via D2D communications due intermittent connectivity among users. Users’ exploited efficiently contents by observing patterns Therefore, it...
This empirical study contributes to extend the literature on nexus between energy consumption, financial development, economic growth, and urbanization in Pakistan. We use annual time series data covering year from 1970 2018 employ Autoregressive Distributive lag (ARDL) Granger causality test. The results of ARDL-bound test confirm cointegration variables, as null hypothesis no is rejected. Further, long-run show that development have positive correlation with demand. However, growth...
A novel scheme is proposed for mobile edge networks to improve data content access. In networks, contents can be cached in radio resource heads (RRHs) and users' equipments (UEs). Caching UEs leverages sharing among instead of sending requests the remote resources. However, are equipped with limited cache capabilities, therefore, only each UE. this paper, our focus caching maximizing them. We formulate a local popularity based as Knapsack problem. The gap calculated beneficial that provide...
The rapid growth of online services and the global transition to digital platforms, accelerated by COVID-19 pandemic emergence AI-based services, have led a surge in demand for high-capacity optical communication networks (OCNs). However, this exacerbates issue fiber nonlinearity, notably four-wave mixing (FWM), which can significantly impact signal integrity long-distance OCN transmissions with multiple channels. To address challenge, paper presents novel approach leveraging convolutional...