Performance Evaluation of Moving Small-Cell Network with Proactive Cache

Author:

Kwon Young Min1ORCID,Shah Syed Tariq1,Shin JaeSheung2,Park Ae-Soon2,Chung Min Young1ORCID

Affiliation:

1. College of Information and Communication Engineering, Sungkyunkwan University, 2066 Seobu-Ro, Jangan-Gu, Suwon, Gyeonggi-Do 16419, Republic of Korea

2. Mobile Access Research Division, Electronics and Telecommunications Research Institute, 138 Gajeongno, Yuseong-gu, Daejeon 34129, Republic of Korea

Abstract

Due to rapid growth in mobile traffic, mobile network operators (MNOs) are considering the deployment of moving small-cells (mSCs). mSC is a user-centric network which provides voice and data services during mobility. mSC can receive and forward data traffic via wireless backhaul and sidehaul links. In addition, due to the predictive nature of users demand, mSCs can proactively cache the predicted contents in off-peak-traffic periods. Due to these characteristics, MNOs consider mSCs as a cost-efficient solution to not only enhance the system capacity but also provide guaranteed quality of service (QoS) requirements to moving user equipment (UE) in peak-traffic periods. In this paper, we conduct extensive system level simulations to analyze the performance of mSCs with varying cache size and content popularity and their effect on wireless backhaul load. The performance evaluation confirms that the QoS of moving small-cell UE (mSUE) notably improves by using mSCs together with proactive caching. We also show that the effective use of proactive cache significantly reduces the wireless backhaul load and increases the overall network capacity.

Funder

Institute for Information & communications Technology Promotion

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. State-of-the-Art Techniques for Energy Saving Enhancement in Cell Differentiation and Integration for Open RAN: A Review;2024 21st International Multi-Conference on Systems, Signals & Devices (SSD);2024-04-22

2. QoS enhancement with deep learning-based interference prediction in mobile IoT;Computer Communications;2019-12

3. Perspectives for 5G Network Sharing for Mobile Small Cells;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2018-12-30

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