UBC Theses and Dissertations
Resource allocation and content caching in 5G mobile internet and beyond Li, Xiuhua
To address the serious challenge from the explosive growth of requests (e.g., higher data rates, reliable communications and content services) from mobile users, revolutionary schemes involving new mobile network architectures and advanced data transmission technologies need to be introduced towards 5G mobile Internet and beyond. Among the techniques, innovative architectures (e.g., heterogeneous networks (HetNets)) can be employed for increasing data rates and providing reliable links, while in-network caching can effectively satisfy content requests. Thus, this dissertation aims to identify key challenges in the scheme design of corresponding resource allocation and content caching that meet these new needs, and provide efficient solutions for addressing the identified issues. Firstly, we investigate the scheme design of traditional network resource allocation in small cell networks (SCNs). Our aim is to maximize the energy efficiency based on certain considerations when scheduling wireless transmissions to satisfy mobile users’ services in the orthogonal frequency division multiple access and distributed antenna systems. Then we propose an energy-efficient joint antenna-subcarrier-power allocation scheme, and numerical results show that the proposed scheme can achieve the effective tradeoff among energy consumption, spectral efficiency and energy efficiency. Secondly, we introduce a new kind of network resources, i.e., caching storage. We focus on the framework design of collaborative hierarchical caching in two cases of HetNets, respectively. Here, the considered HetNets are formed by either multi-tier base stations (BSs) or both BSs and mobile devices, and contents can be cached in either BSs or mobile devices. Particularly, based on certain considerations, we propose efficient caching frameworks in each case for investigating the maximum capacity of the network infrastructure. Trace-based evaluations show that these frameworks can offload network traffic effectively and support mobile users’ content requests locally. Finally, we focus on the framework design of joint resource allocation in terms of traditional network resources and caching resource for cache-enabled cloud-based SCNs. Particularly, we propose efficient schemes with different objectives for different phases involved in content caching. Numerical results are provided to illustrate the effectiveness of the proposed schemes.
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Attribution-NonCommercial-NoDerivatives 4.0 International