Caching Video on Demand in Radio Clusters

Date

2021-01-01

Author

Murat, Furkan
Onur, Ertan

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

45
views

0
downloads

© 2021 IFIP.Densification of mobile networks leads to some problems such as overloaded backhaul and increased latency. Base stations may not always have fiber backhauls. For such cases, radio links are employed between base stations towards a base station that has a high capacity backhaul link. Those set of base stations that are connected to the hub over radio links are called radio clusters. We propose caching in radio clusters for decreasing the video streaming load on radio links. We define an optimization problem to determine the cache locations for video-on-demand segments considering user requirements. We tested our model with different radio cluster configurations concentrating on the size of the radio cluster, the number of users, and the number of demanded videos. Significant gains can be attained by employing the proposed cache placement and replication solution in radio clusters.

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85123417416&origin=inward
https://hdl.handle.net/11511/99151

DOI

https://doi.org/10.23919/cnsm52442.2021.9615606

Conference Name

17th International Conference on Network and Service Management, CNSM 2021

Collections

Department of Computer Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Base station power optimization for green networks using reinforcement learning Aktaş, Semih; Alemdar, Hande; Department of Computer Engineering (2019) The next generation mobile networks have to provide high data rates, extremely low latency, and support high connection density. To meet these requirements, the number of base stations will have to increase and this increase will lead to an energy consumption issue. Therefore ``green'' approaches to the network operation will gain importance. Reducing the energy consumption of base stations is essential for going green and also it helps service providers to reduce operational expenses. However, achieving en...
Base Station Power Optimization for Green Networks Using Reinforcement Learning Aktaş, Semih; Alemdar, Hande (2021-08-31) The next generation mobile networks have to provide high data rates, extremely low latency, and support high connection density. To meet these requirements, the number of base stations will have to increase and this increase will lead to an energy consumption issue. Therefore “green” approaches to the network operation will gain importance. Reducing the energy consumption of base stations is essential for going green and also it helps service providers to reduce operational expenses. However, achieving ener...
Content Placement Problem in a Hierarchical Collaborative Caching method for 5G networks (CPP-HCC) Hassanzadeh, Farnaz; Onur, Ertan (2020-01-01) The increasing demand for video streaming has imposed tremendous data rates and minimal end-to-end latency requirements on 5G mobile networks. Caching content close to the users is one of the conventional ways to meet these requirements. Subsequent requests for the same content can be supplied from the cache with minimal delay. In this paper, we present a content placement problem in a hierarchical collaborative caching (CPP-HCC) in 5G networks that can determine the location of the replica contents by solv...
Performance of distribution networks under VBR video traffic Ozdem, Mehmet; Erten, Y. M. (2007-03-25) In this study we tested the average delay and packet loss performance of access networks under variable bit rate (VBR) video traffic. We used ns-2 simulator to perform the simulations, and actual as well as synthetically generated ON/OFF sources with ON and OFF times taken from exponential or Pareto distributions are used as inputs to the simulated networks. To make sure that the synthetic sources have vbr-video like characteristics we chose the parameters of these sources such that their Hurst parameter is...
Frame-counter scheduler: A novel QoS scheduler for real-time traffic Schmidt, Şenan Ece (Elsevier BV, 2006-08-04) Real-time traffic communication has Quality of Service (QoS) requirements such as end-to-end bandwidth and delay guarantees.

Citation Formats

F. Murat and E. Onur, “Caching Video on Demand in Radio Clusters,” presented at the 17th International Conference on Network and Service Management, CNSM 2021, Virtual, Online, Türkiye, 2021, Accessed: 00, 2022. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85123417416&origin=inward.