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MS Final Exam – Chittibabu Tirupathi

Clustered Proactive Caching with Long Short Term Memory in Cloud Radio Access Networks

Clustered Proactive Caching with Long Short Term Memory in Cloud Radio Access Networks
Abstract: Population growth in big cities leads to a large ecosystem of devices in urban communication networks, resulting in high demand for network services with low latency and better Quality of Experience (QoE). LinkNYC is an example of a communication networking infrastructure, which replaces all payphones in the five boroughs of New York City (NYC) with kiosk-like structures, called Links, to bring fastest, free public Wi-Fi access to thousands of users. We consolidate these Links with standalone edge devices with storage capability, termed throughout as base stations (BSs), to cache popular Internet content locally. Earlier works on network resource optimization in urban communication networks using, for instance, content popularity predictions and proactive caching approaches reduce access delays and backhaul congestion traffic by placing content closer to the end-users. In this paper, we propose k-means clustering to optimize content placement at the BSs, and! we do so by clustering BSs based on the users’ predicted content requests. We also use proactive caching at the clustered BSs to reduce redundant content. Our proposed scheme uses the Long Short Term Memory (LSTM)’s Seq-to-Seq model to predict content popularity at each BS. Besides, our scheme leverages cooperation among BSs to improve the access delay and backhaul congestion in the network. Using the LinkNYC network topology as the use case, we show through simulations that the proposed scheme reduces the overall network delay by minimizing the hop count while fetching the content from other BSs in the network. Our study shows that the amalgamation of proactive and reactive caching in clustered BSs with LSTM popularity predictions provides potential solutions for fulfilling growing demands in urban communication networks.

Major Advisor: Bechir Hamdaoui
Committee: Ben Lee
Committee: Rakesh Bobba
GCR: Maggie Niess

Tuesday, November 5 at 2:00pm to 4:00pm

Kelley Engineering Center, 1007
110 SW Park Terrace, Corvallis, OR 97331

Event Type

Lecture or Presentation

Event Topic

Research

Organization
Electrical Engineering and Computer Science
Contact Name

Calvin Hughes

Contact Email

calvin.hughes@oregonstate.edu

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