Isac Andersson, MPCOM
Algorithms for reducing fragmentation on a radio base station transport link using CPRI
Examiner: Jiajia Chen, Dept of Electrical Engineering
Supervisor: Mohammad Hossein Moghaddam
The launching of 5G imposes big challenges for radio equipment manufacturers. A critical part in order to meet these demands is to reduce the required interconnect resources within the radio base stations (RBS), for which CPRI is the dominating standard. In this thesis, potential algorithms for reducing fragmentation on CPRI links were investigated. In particular, the advantages of using offline processing compared to online implementations for the resource allocation were examined. A simulation environment in which RBS configurations were modelled was designed and implemented in order to evaluate the algorithms. Based on the simulation results, it was shown that there is more potential for improvement in complex RBS configurations, with many radio units and mixed line bit rates. The best offline algorithm managed to allocate up to 13.7 % more slots on average than the best online alternative. The results were considered promising, and it was recommended to investigate them further for more specific use cases.
Student project presentation
26 May, 2020, 13:00
26 May, 2020, 14:00