Abstract
In smart cities, millions of things, systems, and people are interconnected and communicate with each other over wireless sensor networks, Internet of Things (IoT), and 5G networks. A tremendous amount of data traffic, which is frequently generated by the things in wireless multimedia sensor networks (WMSNs) and/or IoT, is accessed by a massive number of mobile users (MUs). These MUs are all competing to access the 5G network for data as well as urban applications and services. This can in turn cause exhaustion to the 5G network. In such cases, users can experience low data delivery and traffic congestions through backhaul links by macro base stations (MBSs). In this paper, we propose a joint caching and downlink resource sharing optimization framework (CSF) in 5G networks to assist WMSNs to efficiently deliver multimedia contents to the MUs. The CSF enables the MBSs to optimally decide how many replicas of each multimedia content to cache in which fem to base stations for high multimedia content hit rate. It also optimally exploits the MUs that are willing to share their downlink resources and that have retrieved multimedia contents, for offloading with device-to-device communications. The objective is to eventually maximize the system delivery capacity. Simulation results demonstrate that the CSF provides the best performance in terms of hit rate and system delivery capacity.
Highlights
In megacities, the proliferation of urban residents poses various challenges to job pools, economic development, sustainable environment, and welfare and social resilience
To provide the mobile users (MUs) with applications and services (AASs) in smart cities, we extend our previous work [1] by taking into account the integration of wireless sensor networks (WSNs) and 5G networks in the context of smart cities with different challenges and more efficient solutions
We focus on how to maximize the average number of replicas of contents to provide the MUs with AASs at high hit rates
Summary
The proliferation of urban residents poses various challenges to job pools, economic development, sustainable environment, and welfare and social resilience. Vo et al.: 5G Optimized Caching and Downlink Resource Sharing for Smart Cities problem of traffic congestion in the backhaul links of the MBSs. it is rigorous to develop such high-speed backhaul links of the MBSs to improve the delivery capacity performance due to their costly production [5]. Smart cities face congestion problems because there is a huge amount of rich data generated by WSNs and requested by a massive number of MUs throughout 5G networks. To this end, we focus on how to maximize the average number of replicas of contents to provide the MUs with AASs at high hit rates.
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