Optimization of Radio and Infrastructure Resources for Efficient Massive Data Transmission and Storage in Mobile Cloud over 5G HetNet

In a dense HetNet enhanced with MCC and MEC technologies, an efficient usage of limited radio resources and augmented network infrastructure is critical to achieve the best possible user experience and network performance, while realizing an efficient and effective response to the big data requirements of mobile devices. Considering this 5G-based dense HetNet architecture, this thesis proposes: (1) a Redundant Array of Independent Disks (RAID) based data storage algorithm that minimizes the data transmission delay during transmission of a big data file from the UE to the cloud data centre; (2) a mechanism design based algorithm to efficiently transfer big data files with minimum transmission delay from the UE to the cloud data centre; and (3) an Ant Colony Optimization (ACO) based energy-aware algorithm to jointly allocate the radio resources and transmit the big data file from the UE to the cloud data centre. Simulation results are provided, demonstrating the effectiveness of the proposed algorithms in comparison to the Greedy and the Data Split Multiple UE (DSMU) algorithms in terms of transfer delay, time required by a UE to store the big data file, and energy consumed by the UE during transmission.