A5076780897- Advanced MIMO Systems Optimization
- Millimeter-Wave Propagation and Modeling
- Power Line Communications and Noise
- Wireless Communication Networks Research
- Telecommunications and Broadcasting Technologies
- Radio Wave Propagation Studies
- ICT Impact and Policies
- Cognitive Radio Networks and Spectrum Sensing
- Cooperative Communication and Network Coding
- Advanced Wireless Communication Technologies
- ICT in Developing Communities
- Precipitation Measurement and Analysis
- IoT and Edge/Fog Computing
- Wireless Communication Security Techniques
- Energy Harvesting in Wireless Networks
- Advanced Wireless Network Optimization
- ECG Monitoring and Analysis
- Mobile Ad Hoc Networks
- Smart Grid Energy Management
- Online and Blended Learning
- Energy Efficient Wireless Sensor Networks
- Bluetooth and Wireless Communication Technologies
- Non-Invasive Vital Sign Monitoring
- Wireless Networks and Protocols
- EEG and Brain-Computer Interfaces
Sule Lamido University
2021-2024
Johns Hopkins University
2024
University of Lagos
2024
University of Ilorin
2014-2023
Federal University of Technology Owerri
2022
University of York
2021
Ahmadu Bello University
2021
Aalto University
2016
Kwara State Polytechnic
2014
The rapid increase in data traffic caused by the proliferation of smart devices has spurred demand for extremely large-capacity wireless networks. Thus, faster transmission rates and greater spectral efficiency have become critical requirements modern-day ubiquitous 5G is an end-to-end network capable accommodating billions linked offering high-performance broadcast services due to its several enabling technologies. However, existing review works on systems examined only a subset these...
It is very important to understand the input features and neural network parameters required for optimal path loss prediction in wireless communication channels. In this paper, an extensive investigation was conducted determine most appropriate Very High Frequency (VHF) band. Field measurements were urban propagation environment obtain relevant geographical information about receiving mobile equipment quantify losses of radio signals transmitted at 189.25 MHz 479.25 MHz. Different...
In this paper, an optimal model is developed for path loss predictions using the Feed-Forward Neural Network (FFNN) algorithm. Drive test measurements were carried out in Canaanland Ota, Nigeria and Ilorin, to obtain data at varying distances from 11 different 1,800 MHz base station transmitters. Single-layered FFNNs trained with normalized terrain profile (longitude, latitude, elevation, altitude, clutter height) produce corresponding values based on Levenberg–Marquardt The number of...
Deep knowledge of how radio waves behave in a practical wireless channel is required for effective planning and deployment access networks urban environments. Empirical propagation models are popular their simplicity, but they prone to introduce high prediction errors. Different heuristic methods geospatial approaches have been developed further reduce path loss error. However, the efficacy these new techniques built-up areas should be experimentally verified. In this paper, efficiencies...
Several orthodox approaches, such as empirical methods and deterministic methods, had earlier been used for the prediction of path loss in wireless communication systems. These approaches are either inefficient or complex. Robustness performance motivated adoption machine learning modeling systems place traditional schemes. Surveys on exist literature; however, emerging deep architectures in-depth analysis, taxonomies related to loss, analysis feature engineering missing already published...
Demand for wireless communication technologies and systems keep increasing has reached the peak where capacity can only be achieved by improving spectrum utilization. The allocated to TV broadcast shared data services through exploiting spatial reuse opportunities (Spatial white space). Path loss models are used extensively in signal prediction, coverage optimization interference analysis. Recently it is being estimating distances safe operation of secondary users space. Peculiarities these...
Path loss prediction is an important process in radio network planning and optimization because it helps to understand the behaviour of waves a specified propagation environment. Although several models are currently available for path predictions, adoption these requires trade-off between simplicity accuracy. In this paper, new model developed based on Adaptive Neuro-Fuzzy Inference System (ANFIS) multi-transmitter scenarios applicable Very High Frequency (VHF) bands. Field measurements...
Propagation models are used extensively in signal prediction and interference analysis. Peculiarity of these gives rise to high errors when deployed a different environment other than the one initially built for. In this paper, we provide error bounds on efficacy at predicting path loss for 10 empirical widely models. The results show that no single model provides good fit consistently. However, Hata Davidson fitness along some selected routes with measured RMSE values less 8 dB. ITU-R...
Path loss prediction models are essential in the planning of wireless systems, particularly build-up environments. However, efficacies depend on local ambient characteristics This paper proposed Neuro-Fuzzy (NF) model for path Ilorin VHF band. Received signal strengths along four different routes were measured using NTA transmitter which operates at a frequency 203.25 MHz as reference. The predictions was compared to Hata, COST 231, Egli and ECC-33 considered standard widely used empirical...
The behaviour of radio wave signals in a wireless channel depends on the local terrain profile propagation environments. In view this, Received Signal Strength (RSS) transmitted are measured at different points space for network planning and optimization. However, these important data often not publicly available characterization model development. this article, RSS commercial base station operating 900 1800 MHz were along three routes Lagos-Badagry Highway, Nigeria. addition, study area...
Access to quality healthcare is a major problem in Sub-Saharan Africa with doctor-to-patient ratio as high 1:50,000, which far above the recommended by World Health Organization (WHO) 1:600. This has been aggravated lack of access critical infrastructures such health care facilities, roads, electricity, and many other factors. Even if these are provided, number medical practitioners cater for growing population countries not sufficient. In this article, how information communication...
Energy fuels the growth and development of any country, as such effective monitoring, measurement, billing access control is imperative. This paper presents a device that uses evolving Internet Things (IoT) technology in design implementation an based prepaid energy meter often referred to smart meters. The measurement system automated. employs ATMega328p ESP8266 operate dual core microprocessor unit with one dedicated sensing measurements, while other handles network connectivity, storage,...
For decades now, a lot of radio wave path loss propagation models have been developed for predictions across different environmental terrains. Amongst these models, empirical are practically the most popular due to their ease application. However, prediction accuracies not as high required. Therefore, extensive measurement data needed develop novel measurement-oriented with suitable correction factors varied frequency, capturing both local terrain and clutter information, this found be...
Broadband access drives the global digital economy and has triggered emergence of newer radio technologies to meet data-driven consumers' expectations. In period 2019-2025, it is estimated that Compound Annual Growth Rate (CARG) Sub-Sahara Africa will be above 28 % though ranked lowest amongst other regions. The Covid-19 pandemic occasioned an unprecedented demand for broadband internet access. Nigeria's 42.02 %, which needs advanced communication network infrastructure upgrade in order...