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This document summarizes telecommunication and radiocommunication measurement trainings that enhance both theoretical and practical skills for testing networks. The hands-on trainings are at least 50% practical and can be customized for specific needs. They are suited for network operators, technicians, engineers and others working with telecommunication, radiocommunication or microwave links. Attendees can use their own test instruments and receive training on a variety of topics ranging from cable measurements to optical or radiocommunication network analysis. For more information, contact the provided representative.
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Abstract— The shortage of spectrum resource availability in wireless communication network due to the rapid increase in the number of subscribers and multimedia applications has given rise to the need for effective spectrum utilization of the licensed spectrum. Cognitive Radio Technology (CRT) was adopted for the system analysis due to its dynamism in accommodating both licensed and unlicensed users within a particular spectrum band. The study framework comprised television station channels in Owerri and its environs and Mobile Telecommunication Networks (MTN) in Owerri- the capital of Imo State, Nigeria as the license and unlicensed users respectively. An outdoor twenty-four hour spectrum occupancy measurement was carried out in the frequency bands of the licensed networks using 240-960 MHz Radio Frequency Spectrum analyzer to determine the spectral usage of the licensed user. A threshold of -95 dB was used to determine the presence of the licensed users. From the results obtained, it was observed that 60.7% of the spectrum band covered was unoccupied, 31.5% was not fully occupied while 7.9% was fully occupied. Energy Detection spectrum approach was implemented by the unlicensed users for easy determination of the spectrum status and resource management. The research therefore determines the status of Radio Frequency (RF) Spectrum receivable in Owerri and its environs and proffer measures deployable in harnessing the unused RF resources using CRT.
Investigation of TV White Space for Maximum Spectrum Utilization in a Cellula...
Abstract— The shortage of spectrum resource availability in wireless communication network due to the rapid increase in the number of subscribers and multimedia applications has given rise to the need for effective spectrum utilization of the licensed spectrum. Cognitive Radio Technology (CRT) was adopted for the system analysis due to its dynamism in accommodating both licensed and unlicensed users within a particular spectrum band. The study framework comprised television station channels in Owerri and its environs and Mobile Telecommunication Networks (MTN) in Owerri- the capital of Imo State, Nigeria as the license and unlicensed users respectively. An outdoor twenty-four hour spectrum occupancy measurement was carried out in the frequency bands of the licensed networks using 240-960 MHz Radio Frequency Spectrum analyzer to determine the spectral usage of the licensed user. A threshold of -95 dB was used to determine the presence of the licensed users. From the results obtained, it was observed that 60.7% of the spectrum band covered was unoccupied, 31.5% was not fully occupied while 7.9% was fully occupied. Energy Detection spectrum approach was implemented by the unlicensed users for easy determination of the spectrum status and resource management. The research therefore determines the status of Radio Frequency (RF) Spectrum receivable in Owerri and its environs and proffer measures deployable in harnessing the unused RF resources using CRT.
Investigation of TV White Space for Maximum Spectrum Utilization in a Cellula...
Abstract— The shortage of spectrum resource availability in wireless communication network due to the rapid increase in the number of subscribers and multimedia applications has given rise to the need for effective spectrum utilization of the licensed spectrum. Cognitive Radio Technology (CRT) was adopted for the system analysis due to its dynamism in accommodating both licensed and unlicensed users within a particular spectrum band. The study framework comprised television station channels in Owerri and its environs and Mobile Telecommunication Networks (MTN) in Owerri- the capital of Imo State, Nigeria as the license and unlicensed users respectively. An outdoor twenty-four hour spectrum occupancy measurement was carried out in the frequency bands of the licensed networks using 240-960 MHz Radio Frequency Spectrum analyzer to determine the spectral usage of the licensed user. A threshold of -95 dB was used to determine the presence of the licensed users. From the results obtained, it was observed that 60.7% of the spectrum band covered was unoccupied, 31.5% was not fully occupied while 7.9% was fully occupied. Energy Detection spectrum approach was implemented by the unlicensed users for easy determination of the spectrum status and resource management. The research therefore determines the status of Radio Frequency (RF) Spectrum receivable in Owerri and its environs and proffer measures deployable in harnessing the unused RF resources using CRT.
Spectrum Sensing in Cognitive Radio
1. Cognitive radio helps solve spectrum congestion by allowing secondary users to access unused licensed spectrum without interfering with primary users. It uses spectrum sensing techniques to identify unused portions of spectrum.
2. Common spectrum sensing techniques include energy detection and matched filtering. Energy detection analyzes signal energy to identify unused spectrum, while matched filtering more accurately detects signal types.
3. Spectrum sensing faces challenges including hidden primary users, security issues from spoofing, and ensuring reliability and scalability of data transmission to centralized authorities. Cooperative sensing helps address problems like hidden users through information sharing between radios.
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Hany Abdel hamid Abo Ouf is an Egyptian electrical engineer seeking a position in operation and maintenance or project management. He has over 18 years of experience in fields including RF engineering, radar systems, optical fiber, and telecommunications. He has worked as a region manager for corrective and preventive maintenance, and has experience planning and managing projects. He has certifications in areas such as Cisco CCNA, Project Management Professional, and Primavera.
Lte channel list
The document discusses Agilent's solutions for LTE network deployment and optimization, including the E6474A drive test solution and N9912A FieldFox RF analyzer. The E6474A enables efficient LTE network deployment and optimization through measurements for troubleshooting and optimization. The N9912A is a handheld RF analyzer for cell site testing and interference hunting during LTE deployment. Both solutions address the challenges of LTE network installation and maintenance through key measurements and features.
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- 1. Telecommunication and Radiocommunication measurements trainings Fully understand your test and measurement instrument capabilities with All our trainings include a theoretical part and at least 50% of practical hands-on adapted to your specific needs. Measurements methodology is also enhanced to help you earning time in qualifying and correcting your networks. . Who can attend? Whatever your level of knowledge, trainings enhance the theory and practical aspects necessary to test and measure actual parameters of telecommunication and radiocommunication networks. They are especially adapted to: Network operators Maintenance operators Field technicians and engineers Installers Site managers Every person involved in measuring, analyzing and maintaining telecommunication, radiocommunication or microwave links. Hands-on : Learn by doing, not by watching. At least half of the training includes practical labs. Crtitical points: The important points and techniques relatives to your business can be developed according to your needs. Every module can be adapted to your needs: onsite training, specific measurements, data acquisition and analysis... Versatile: trainings are not dedicated to one type of instrument. Attendees are welcomed to use their own analyzers. Contact: Marc SAN JUAN. Tel: + 33 9 51 00 26 31/+ 33 6 37 05 78 51 : EURL au capital de 5000€. R.C.S. Meaux 521 329 359. SIRET : 3521 329 359 00017. Contact : Marc SAN JUAN, 25 Allée Louise Michel, 77420 Champs sur Marne. France. Tel : +33 9 51 00 26 31 Fax : +33 9 56 00 26 31 Mob : +33 6 37 05 78 51
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