Coded Caching for 5G Networks
Published:2018-05-28 Hit:599

 

Overview:

With the fast development of the Internet, the transmission of video streaming and social network data has dominated the traffic volume in present-day networks, which leads to the sever congestion in the networks. Thus, it is significant to introduce the content delivery network design to 5G networks for the alleviation of network congestion. Since the traffic distribution shows strong temporal variability, i.e., the networks are extremely congested at peak time and underutilized off-peak, caching technique has been proposed to leverage the off-peak resource and alleviate the congestion in peak time. In the off peak time, the server pushes some contents to users. Thus, in peak time, the server can push fewer contents to meet the requirements of users. The recently proposed coded caching scheme accomplishes the broadcast transmission for multiple users through network coding, which further reduces the latency in networks. In the hierarchical architecture of 5G network, caching technique can be utilized in both backhaul networks and access networks. In wireless networks, the heterogeneous data links between different users and base stations give rise to the different transmission rate and packet loss rate, which affects the efficiency of coded caching when applied in wireless networks. This research topic focus on the design of efficient methods for broadcast transmission and caching algorithms to improve the efficiency of coded caching in wireless networks.

 

People: Aimin Tang, Yao Liu

 

Papers:

A. Tang, Sumit Roy, and X. Wang, “Coded Caching for Wireless Backhaul Networks with Unequal Link Rates,” IEEE Transactions on Communications, Volume 66, no. 1, Pages 1-13. Jan. 2018.

 

A. Tang, X. Wang, and S. Roy, “Centralized Coded Caching for Wireless Networks with Heterogeneous Channel Conditions,” in Proc. IEEE GLOBECOM 2017.


A. Tang, Y. Liu, and X. Wang, “Preference-Aware Caching and Cooperative Coded Multicasting Design for Wireless Backhaul Networks,” in Proc. IEEE GLOBECOM 2019.
 

 

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