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Dynamic association and participant based adaptive streaming in small base station for live video conference on 5G networks
Author(s) -
D Frederick Swartz Daniel,
K.A Mohamed Junaid,
B Jaison,
J.T Anita Rose
Publication year - 2018
Publication title -
transactions on emerging telecommunications technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.366
H-Index - 47
ISSN - 2161-3915
DOI - 10.1002/ett.3300
Subject(s) - computer science , computer network , wireless network , node (physics) , cellular network , distributed computing , wireless , real time computing , telecommunications , engineering , structural engineering
Targeting to handle the explosive growth of mobile media streaming, the emerging fifth‐generation systems need to manage control plane and data plane appropriately. The control plane is used for node association in the heterogeneous cellular network and data plane for media streaming with heterogeneous user equipment. To satisfy the aforementioned requirements, we proposed a solution to alter the control plane and data plane by systematic usage of in‐network resource available in wireless edge (eg, macro, pico, and femto) small base stations (SBSs) for the deployment of smart association policies and media processing technique that improve the efficiency in fifth‐generation wireless networks. On the other hand, due to the broadcast nature of wireless medium, we introduce the media processing agent (MPA) that would reside in SBSs to process the media on the fly and then deliver streams adaptively to the participants. MPA can identify the presenter among the participant to create the server channel with media server and the observer can service from MPA itself. To better exploit the participant's node association with the nearby SBSs, association policies are enhanced with concerns on dynamic association with SBSs. In addition, we describe a heuristic algorithm that provides significant performance gains compared with the existing centralized processing schemes. Numerical results are presented with realistic parameters for the media processing speed, and the quality of delivery demonstrate up to 20% reduction in central processing unit usage over existing (centralized) media processing schemes.