Publication Date
Fall 2017
Degree Type
Master's Project
Degree Name
Master of Science (MS)
Department
Computer Science
Abstract
Cloud radio access network (CRAN) has been proposed for 5G mobile networks. The benefit of a CRAN includes better scalability, flexibility, and performance. The paper introduces a cache management algorithm for a baseband unit of CRAN and load balancing algorithms for virtual machines load within the CRAN. The proposed scheme, exponential decay (EXD) with analytical hierarchy process (AHP), increases hit rate and reduces network traffic. The scheme also provides preferential services for users with a higher service level agreement (SLA). Finally, the experiment shows the proposed load balancing algorithm can reduce the virtual machines’ (VM) queue size and wait time.
Recommended Citation
Tsai, Chin, "Cache Management and Load Balancing for 5G Cloud Radio Access Networks" (2017). Master's Projects. 562.
DOI: https://doi.org/10.31979/etd.sgq8-ctcm
https://scholarworks.sjsu.edu/etd_projects/562
