Candidate: Shahida Jabeen
Title: Low Complexity Quasi-Optimal Scheduler for LAN Cable Based Front-hauls
Date: April 1, 2019
Time: 1:00 PM
Place: EIT 3142
Supervisor(s): Ho, Pin-Han
Abstract:
5G mobile networks are expected to support highly dynamic traffic and stringent delay requirements, therefore, pervasive deployment of a large number of low power base stations (also known as small cells), with possibly overlapped radiation ranges, appear to be the most viable solution to meet these requirements. This has become the main basis for using LAN cable based front-hauls for 5G indoor networks, since, each small cell can exploit a Distributed Antenna Unit (DAU) via a low-cost analog front-haul as a cost-effective alternative to the expensive fiber-optic based indoor front-haul. This indoor architecture allows the antenna units to be distributed over a wide geographical area by using multi-pair LAN cables for transporting 5G (LTE or NR) signals. However, the use of existing indoor LAN cables has been limited because of the attenuation and the crosstalk among the twisted pairs of each LAN cable. To realize the LAN cable based DAU system for each small cell, we focus on the design, optimization, and implementation of a real-time scheduler, where a realistic cable channel (i.e., CAT-5) has been considered for mapping resources between the radio antennas and the multi-pair LAN cable.