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Erschienen in:
Multiple Antenna Spectrum Sensing in Colored Noise Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

39. User-Cognizant Scalable Video Transmission over Heterogeneous Cellular Networks

verfasst von : Liang Wu, Wenyi Zhang

Erschienen in: Handbook of Cognitive Radio

Verlag: Springer Singapore

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Abstract

With the increase of mobile video applications in people’s daily life as well as industrial manufacture, such as video streaming, surveillance, and so on, video has been the main service in cellular networks. Operators and service providers are struggling to enhance the mobile video service, while user requirements for abundant, high-definition, and low-delay video have nearly drained the transmission capacity of current networks. Moreover, the large population of user equipments (UEs) exhibit differentiated video demands and various network transmission environments. Traditional networking, which is static and base station (BS) concentric, can hardly deal with these challenges. Thus, adaptive video transmission schemes are needed by jointly considering the interplay among user demand, video source characteristics, and networking. This work focuses on user-cognizant scalable video transmission over heterogeneous cellular networks. The video source is encoded using scalable video coding, which enables dynamic adaption of source information to the requirements of UEs and is suitable for cellular networks in which the transmission link quality varies substantially over space and time. Three novel transmission schemes are proposed, layered digital transmission, layered hybrid digital-analog transmission, and cooperative digital transmission. Leveraging tools from stochastic geometry, a comprehensive analysis is conducted focusing on three key performance metrics: outage probability, high-definition probability, and average distortion. The associated spectrum allocation and video transmission are chosen based on the user-cognizant information, such as the requirements for video service, wireless channel status, and the connections with the BSs. The results show that the proposed user-cognizant transmission schemes can provide a scalable video experience for UEs.

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Vorheriges Kapitel Spectrum Sharing of Drone Networks
Nächstes Kapitel Precoding and Power Allocation for Two-Tier Heterogeneous Networks
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Metadaten
Titel
User-Cognizant Scalable Video Transmission over Heterogeneous Cellular Networks
verfasst von
Liang Wu
Wenyi Zhang
Copyright-Jahr
2019
Verlag
Springer Singapore
Buch
Handbook of Cognitive Radio

Print ISBN: 978-981-10-1393-5

Electronic ISBN: 978-981-10-1394-2

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-981-10-1394-2_36

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