5G networks deployment is much data driven, leading to more energy consumption. The need to efficiently manage this energy consumption is a major drive in the comparative analysis of the features of a 5G production dataset. The features of the 5G production dataset generated with G-Net track pro were analyzed using Python programming language. From the correlation coefficient results obtained, the highest correlation value of 0.78 exists between the reference signal power and the received signal reference power of the neighbouring cells. Using the significant indicator, we observed that the signal to noise ratio is the most important of all the features. Using heat map and scatter plots, we further observed that there were good relationships between the key features selected from the significant indicator. These features will play a big role in improving the energy efficiency of a 5G network.

With the rapid increasing bandwidth demand mainly driven by the development of advanced broadband multimedia application, such as video-on-demand (VoD), interactive high-definition digital television (HDTV) and video conference, new access network solutions that provide high capacity are highly needed to satisfy these emerging services. In a largely populated and technologically exposed institution such the University of Port Harcourt, this demand is truly great. The Passive Optical Network (PON), which utilizes the Fibre Optic Technology, is a suitable solution to this problem. Hence this is geared towards the design and simulation of a Passive Optical Network for the University’s campus district. This Campus based Local Area Network consists of the Various Faculty buildings, the Senate building which is the central administrative building, and was centralized at the Information and Communication Technology Center (ICTC), which served as the Central Office of the network. The Wavelength Division Multiplexing (WDM) technique was utilized because of its dedicated bandwidth for each subscriber and more flexible bandwidth management. The validation was carried out on a virtual computation environment called OptiSystem©.

This paper presents statistical path loss models derived from experimental data collected in Port Harcourt in South-South region of Nigeria from 10 existing microcells operating at 876 MHz. The results of the measurements were used to develop path loss models for the urban (Category A) and the suburban (Category B) areas of Port Harcourt. The measurement results showed that the Pathloss increases by 35.5dB and 25.7dB per decade in the urban (Category A) and suburban (Category B) areas respectively. Variations in path loss between the measured and the predicted values from the Okumura-Hata model were calculated by finding the mean square errors (MSE) to be 10.7dB and 13.4dB for the urban and suburban terrains respectively. These variations (errors) were used to modify the Okumura-Hata models for the two terrain categories. Comparing the modified Hata model with the measured values for the two categories showed a better result. The developed statistical Pathloss models or the modified Hata models can be used in the urban and suburban areas of South-South Nigeria.

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Abstract-This paper presents a uniform Linear Array model of a simple adaptive antenna array based on signal-to-interference and noise ratio (SINR) maximization. The SINR using the adaptive antenna array was investigated for a conventional narrowband beam former by varying the number of antenna array elements and number of interfering signals or users. The results obtained were compared with that of omni-directional antenna. The graph obtained from the results showed significant improvement in SINR as the number of antenna elements increases in the presence of large interferers for odd numbered array.