Abstract
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.
Highlights
1.1 Thesis MotivationWith the advent of mobile smart communication devices and Internet of Things (IoT) as a new computing and communication paradigm [1], the emerging fifth generation
The data file size is varied from 1 Gbits up to 10 Gbits, and the impact of this variation on the transfer delay, i.e. the time required to transfer the corresponding file chunks to the cloud storage while maintaining the same number of user equipment (UE) and Base Stations (BS), is investigated
In the implementation of the Greedy algorithm (GA), each UE associates itself to the BS with the maximum downlink signal to interference and noise ratio (SINR) and the data file is transmitted to the public cloud via this BS
Summary
1.1 Thesis MotivationWith the advent of mobile smart communication devices and Internet of Things (IoT) as a new computing and communication paradigm [1], the emerging fifth generation In order to make this scenario realistic, the IoT paradigm has to firstly accomplish a ubiquitous access through legacy systems, and especially, evolving wireless networks in such a way that the data transmission could be efficiently performed between the end devices and the cloud data centers Toward this end, focusing on mobile applications and services, emerging 5G systems [21] have arisen. In such system, a close collaboration is expected to prevail between the MNOs in one side and the HetNets and the CSPs (called Intercloud) in the other side, with the goal to achieve the computational requirements and communication demands for mobile applications and services in an MCC environment. Unless establishing strict policies to preserve the H2H service performance, the QoS of these applications may be degraded
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