Cost Efficient CRAN Deployment for Capacity Enhancement in Radio Access Networks
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Traffic demand in Radio Access Networks (RANs) is rapidly increasing and forecast to grow exponentially in the next decade. The current network capacity will not be able to face such demands, given that the present technologies are approaching the theoretical communication limits. New strategies are necessary to increase the network capacity and address the increasing traffic demands. Cell cooperation through Coordinated Multipoint Processing (CoMP) techniques has emerged as a powerful solution to increase the network capacity. In order to implement CoMP, very stringent delay requirements for coordination and joint processing need to be met. The Centralized Cloud RAN (CRAN) architecture is recently introduced which could suit the CoMP requirements, since it provides a centralized unit, i.e. the Digital Unit (DU) pool. The deployment of CRAN involves a considerable cost which must be taken into account.
In this thesis a cost efficient CRAN deployment is proposed and the performance of CoMP in CRAN is investigated. To this end, a comparison with traditional Distributed RAN (DRAN) is carried out. This is achieved by carrying out a techno-economic study. The concept of Total Cost of Ownership (TCO) is introduced, which is defined as the sum of build-out costs, operation, and maintenance costs for a given period in time. The formulation of a DU pool placement optimization problem allows the designer to determine the optimal network deployment such that the TCO is minimized. The solution of the optimization problem shows how the deployment of fiber through digging, ducting, and installation of fiber cables represents the most considerable cost to be covered with 54% of the total TCO. The second most important cost is represented by the operation and maintenance costs (26% of the total TCO). The minimal contribution of the electric bills, resulting from the devices energy consumption, is also shown. The TCO of CRAN is compared to the TCO of DRAN to highlight and understand the payback of CRAN. It is shown how the deployment of CRAN involves a payback of approximately seven years. Furthermore, the capacity enhancement brought by Joint Transmission (JT) in CRAN is investigated. A urban network scenario is defined in which JT is simulated. The results show how a good improvement in the network capacity can be achieved, at a much lower cost compared to network densification in DRAN.
Place, publisher, year, edition, pages
2016. , 64 p.
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-205350OAI: oai:DiVA.org:kth-205350DiVA: diva2:1088647
Subject / course
Microelectronics and Applied Physics
Master of Science in Engineering - Electrical Engineering
Zander, Jens, Professor