This work studied the effects of physical environ ment (trees and buildings) obstructions on the Lionet in Nsukka campus of the Un iversity of Nigeria. The effects of these obstructions were measured by the variation in path loss and received signal strength as functions of distance using computer simu lation and field measurement. The simulat ion results were co mpared with the field measurement results, conducted under free space condition and where the Lionet signal was obstructed by trees and buildings. The results show that trees and buildings have significant effects on the path loss and the received signal strength of the Lionet. The study therefore reco mmends that the power level of the Lionet should be imp roved for efficient performance, mo re access points should be deployed at locations where obstructions are prevalent, and Lionet should possibly migrate fro m wireless to fibre optic network.

This paper is a four section investigation of various communication principles to demonstrate the capabilities of using MATLAB and Software Defined Radio (RTL-SDR R820T) to receive, decode, analyse and resample a radio frequency signal. A novel MATLAB model system is developed to identify signals based on the signal characteristics in the spectrum analysers. The bandwidth, frequency, modulation and demodulation techniques of the signal were also identified. The section two is a design developed around multiplex and down-conversion to baseband Inphase/Quadrature phase (IQ) for multiple channel Frequency Modulated (FM) and Amplitude Modulated Double Sideband Transmitted Carrier (AM-DSB-TC) signal received. The functional description of sampling, decimation and interpolation form part of the contribution of this paper. The final section of the paper presents a short research on the potential benefits and a survey into the future of Software Defined Radio (SDR).

In location based services, Weighted Multiple Linear Regression (WMLR) algorithm is used for radio device position estimation. Nevertheless, WMLR provides coarse location estimate, because weights apportioned to the received signal strength (RSS) for each hearable base station during matrix weight formation are not properly distributed. In an attempt to address the problem articulated above, an improved WMLR that enhanced the accuracy of radio device position estimate is proposed in this work. Min-Max scaling was used to determine the weight for each RSS values logged at different BS, as such forming a refined matrix weight. Public on-site outdoor Long Range Wide Area Network (LoRaWAN) RSS data set was used to assess the improved WMLR estimation algorithm on the basis of accuracy. The location accuracy of the proposed method is validated with the existing WMLR algorithm and Federal Communication Commission (FCC) maximum location error benchmark. Results show that the location accuracy of the improved approach outperformed that of the existing WMLR localization method.

No abstract

Efficient performance of the Lionet in Nsukka campus of the University of Nigeria may be hindered by the ornamental trees that characterises the physical features of the University environment. This work measured and analyzed the Lionet quality of service (QoS) in terms of received power level and path loss as functions of distance, under free space condition and in the presence of a tree. To achieve this, Ordinary Least Squares (OLS) regression analysis was used on the measured data with the help of SPSS version 16.0 software; to show the significance of the presence of trees on the Lionet QoS. The findings revealed that path loss is influenced significantly if (p < 0.05) by distance (b = 0.920) and effect of a tree (b = −0.185), while for received power level by distance (b = −0.920) and effect of a tree (b = −0.185). This study has revealed that unless the University takes urgent steps to provide more access points, the QoS cannot be improved since the trees are also required in the environment as wind breakers.