A Fair Computational Resource Management Strategy in C-RAN

• Published in: 2018 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications (CoBCom) pp. 1 - 6
• Main Authors: Barahman, Mojgan, Correia, Luis M., Ferreira, Lucio S.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-07-2018
• Subjects: BBU-pool utilization; Broadband communication; cloud-RAN; computational resource management; Multimedia communication; Nash Bargaining Solution; Next generation networking; proportional fairness; wireless communication
• DOI: 10.1109/COBCOM.2018.8443982

A resource management strategy is presented, aiming at managing the computational resources of a Base Band Unit pool (BBU-pool), in Cloud Radio Access Network. The goal is the efficient use of computational resources, while striking an optimum balance amongst all the BBUs in high demand conditions that lead to computational resource leakage. To this end, the BBUs required computational resources are estimated on the basis of a time frame, based on user processing and type of running services. A game theory approach of bargaining is employed in order to achieve the optimal allocation policy for the BBU-pool computational resource management. An individual BBU is assigned with a bargaining power based on the number of its user processing and on the services priority level. The Generalized Nash Bargaining Solution is then applied as a strategy to distribute computational resources in a fair manner. In order to evaluate model efficiency, a simple scenario is considered. Simulation results confirm that the model allocates computational resources according to the BBUs bargaining power. Moreover, numerical results show that 100% of the available computational capacity is used in case of need.