The qualities of indoor signal reception are governed by the mechanism of reflection, refraction, diffraction and The qualities of indoor signal reception are governed by the mechanism of reflection, refraction, diffraction and The qualities of indoor signal reception are governed by the mechanism of reflection, refraction, diffraction and The qualities of indoor signal reception are governed by the mechanism of reflection, refraction, diffraction and scattering of signal propagation through buildings which are dependent on the material of the building scattering of signal propagation through buildings which are dependent on the material of the building scattering of signal propagation through buildings which are dependent on the material of the building scattering of signal propagation through buildings which are dependent on the material of the building structure. structure. structure. structure.

This work is a study of radio refractivity in Akure This work is a study of radio refractivity in Akure This work is a study of radio refractivity in Akure This work is a study of radio refractivity in Akure-Owo Digital Microwave Link in South Western Nigeria. Owo Digital Microwave Link in South Western Nigeria. Owo Digital Microwave Link in South Western Nigeria. Owo Digital Microwave Link in South Western Nigeria. Meteorological data of air temperature, atmospheric pressure, relative humidity, and water vapour Meteorological data of air temperature, atmospheric pressure, relative humidity, and water vapour Meteorological data of air temperature, atmospheric pressure, relative humidity, and water vapour Meteorological data of air temperature, atmospheric pressure, relative humidity, and water vapour pressure were pressure were pressure were pressure were measured between January and December 2006 at the observatory centre of the Nigerian meteorological agency measured between January and December 2006 at the observatory centre of the Nigerian meteorological agency measured between January and December 2006 at the observatory centre of the Nigerian meteorological agency measured between January and December 2006 at the observatory centre of the Nigerian meteorological agency (NIMET) situated (NIMET) situated (NIMET) situated (NIMET) situated at Akure at Akure at Akure at Akure Airport. Airport. Airport. Airport. Th Th Th The meteorological data collected were computed to obtain the refractivity, e meteorological data collected were computed to obtain the refractivity, e meteorological data collected were computed to obtain the refractivity, e meteorological data collected were computed to obtain the refractivity, refractivity gradient and earth radius factor. refractivity gradient and earth radius factor. refractivity gradient and earth radius factor. refractivity gradient and earth radius factor. The The The The results of the study show results of the study show results of the study show results of the study show that the refractivity gradient was greater that the refractivity gradient was greater that the refractivity gradient was greater that the refractivity gradient was greater than zero and vary slightly throughout the months of the year than zero and vary slightly throughout the months of the year than zero and vary slightly throughout the months of the year than zero and vary slightly throughout the months of the year 2006. The highest value of refractivity gradient was 2006. The highest value of refractivity gradient was 2006. The highest value of refractivity gradient was 2006. The highest value of refractivity gradient was in April and lowest value in September, the effective earth radius factor was observed to be less than one which in April and lowest value in September, the effective earth radius factor was observed to be less than one which in April and lowest value in September, the effective earth radius factor was observed to be less than one which in April and lowest value in September, the ef...

This work investigates the microwave link degradation due to atmospheric conditions on the Akure-Owo Digital Microwave Link. Microwave line of sight measurements were carried out between January and December 2005 with a data acquisition software (PROCOMM PLUS SOFTWARE). The data collected were analyzed using MATLAB 7.0 SOFTWARE program to determine the months of the year that has the highest degradation due to atmospheric conditions and also the months of the year that has the highest bit error rates. The result showed that the months of January, June, July, August and September have the worst signal degradation of -0.97dbm, -2.0dbm, -3.97dbm, -3.97dbm, -1.97dbm. respectively. The result also showed that the bit error rates are good and acceptable throughout the months of the year. A model equation was developed to predict the signal strength received and the bit error rate in the microwave link investigated, when atmospheric conditions are taken into consideration. The results of the predicted model were validated by field data and the results obtained showed an error of -0.2% for the received signal level and zero error for the bit error rate which means that the developed model equations can be used to accurately predict the link degradation parameters.

This research is an investigation of the causes of call drops in a GSM network in Benin City, Nigeria. Call drop is inability of call to connect and go through the network successfully. For a drop call the subscriber does not enter into a queue for potential assignment. In this work, a drive test was conducted over a period of three months (March, April and May 2010) in cells around Benin City area. The drive test was conducted with the use of test mobile. A test mobile is a kit comprising mobile phone, drive testing proprietary software called TERMS on a laptop computer and GPS (global positioning system). A total of twenty seven cells out of forty cells around Benin City area were discovered to have severe call drops leading to very poor network performance. The problems that caused the call drops were determined and corrected leading to high improvement in call performance.

This work centres on the study of campus wifi hotspot networks in Nigeria universities, using the Nnamdi Azikiwe University Awka as a case study. A Campus Wide Area Network (CWN) provides a means of communication and collaboration in data intensive environments. These are vital key factors to building a strong knowledge culture and facilitating collaborative research for any educational institution. Network stumbler (Wifi Network Analyzer) and Iperf were installed on different laptop computers in the respective Access Points (AP) while being monitored from a dedicated server running on Mikrotik and wireshark. This was used in collecting useful data needed for the characterisation of the UNIZIK wifi hotspot network in terms of Received signal strength index (RSSI), Data throughput and latency/network delay. The AP distance from user is carefully measured with a meter tape. Performance analysis carried out on this university wifi hotspots shows that the network offers a delay of 0.1545s by default that increases by a factor of 0.001s; a data throughput of 37.30Mbps that decreases by a factor of 0.25Mbps for any user added to the network. Also, that an RSSI of -35.438dBm was obtained at the AP base station which decreases by a factor of 0.4925dBm for any 1m distance away from the APand finally that a traditional hotspot networks based on IEEE 802.11 series lacks integrated intelligence for services convergence, QoS performance and in most cases suffers from interoperability problem