Passive Optical Network: A Fibre to the ‘X’ Approach

Abstract

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©.

Power budget Analysis for Passive Optical Network Deployment as Mobile Communication Backhaul Network

“…This study focuses on attaining optimal power budget analysis for Passive Optical Networks (PON) utilized as backhaul deployment for mobile communication network. It achieves its cost-effectiveness because optimal splitter location was chosen by utilizing the coordinates obtained via computational optimal splitter coordinates from research carried out in [7]. The primary objective of this study is to establish an efficient power budgeting approach for PONs, taking into consideration the locations of eNodeBs of the mobile operator (SMILE).…”

“…The investigation incorporates the coordinates of 60 SMILE eNBs to calculate the respective distances between the eNBs and the splitter. An algorithmic model in [7] was employed to determine the optimal location for the splitter, minimizing the distance between the splitter and the 60 eNBs. This approach is referred to as the automatic/systematic method.…”

“…A comparison of the optimum splitter coordinates obtained from both methods, as presented in Table 2, reveals that both the manual and automatic/systematic methodologies yielded similar results for both locations and total distances. [7], the coordinates 4.82778640N, 7.0265820E is chosen as the optimal splitter location, optimal splitter location is needed to help determine the fibre length distribution for power budget calculation. Table 3 shows distribution of fibre lengths from the Splitter situated at the chosen optimal splitter location.…”