Cross Layer Design for Efficient Video Streaming over LTE Using Scalable Video Coding

Abstract

Third Generation Partnership Project (3GPP) Long Term Evolution (LTE) offers high data rate capabilities to mobile users, and network operators are trying to deliver a true mobile broadband experience over LTE networks. Mobile TV and Video on Demand (VoD) are expected to be the main revenue generators in the near future, and efficient video streaming over wireless is the key to achieve this goal. Video services use both unicast and multicast video transmission based on its applications. Enhanced Multimedia Broadcast/Multicast Service (EMBMS) is defined in 3GPP specification to support download delivery and streaming delivery to group users in LTE mobile networks. In 3GPP Release 8 specification, the EMBMS transmission is classified into single-cell transmission and MBSFN (Multicast Broadcast Single Frequency Network) transmission. In this paper, we propose a Scalable Video Coding (SVC) based video streaming scheme with dynamic adaptations and a scheduling scheme based on channel quality for unicast and multicast video transmissions. In our proposed unicast scheme, Channel Quality Indicator (CQI) feedbacks from User Equipment's (UE) are used for dynamic adaptations and scheduling. Cross layer signaling between Medium Access Control (MAC) and Real Time Transport (RTP) protocols is used to achieve the channel dependent adaptation for unicast in video server. Simulation results for unicast indicate improved video quality for more number of users with reduced bit rate video traffic. Approximately 13% video quality gain is observed for users at the cell edge using this adaptation scheme. We have also proposed a scheduling scheme for multicast over MBSFN networks. This scheme optimizes the radio spectrum allocation by adaptive modulation and coding (AMC) and frequency scheduling based on distribution of users in different channel quality regions. Through simulations we demonstrate that spectrum savings in the order of 72 to 82% is achievable in different user distribution scenarios with our proposed scheme.

Content and buffer status aware packet scheduling and resource management framework for video streaming over LTE system

“…With the time when to send the segment request known, how to select the requested segment to adapt to the time-varying channel states becomes a crucial problem to be solved. H.264 SVC (Scalable Video Coding) technology is widely employed in many researches [26][27][28][29] to provide different video qualities by encoding each video sequence into many different layers. The authors in [26,29] exploited the cross-layer design framework for a dynamic scalable video adaptation in varying network capacity.…”

“…H.264 SVC (Scalable Video Coding) technology is widely employed in many researches [26][27][28][29] to provide different video qualities by encoding each video sequence into many different layers. The authors in [26,29] exploited the cross-layer design framework for a dynamic scalable video adaptation in varying network capacity. In order to increase the number of the clients that the system can support, the authors in [27] focused on the multiclient video transmission over OFDMA-based communication system by combining the adaptive subcarrier allocation and bit loading with the transmission of the H.264 SVC encoded video sequences.…”

Frame-based mapping mechanism for energy-efficient MPEG-4 video transmission over IEEE 802.11e networks with better quality of delivery

“…Dropping a packet of a video frame in the video server is a more efficient means of avoiding congestion than is dropping it in the MAC layer. This method can be used to transmit video data with the least possible bandwidth and the best video quality [16]. The authors had also proposed scheme for adapting channel variations by using a Real Time Control Protocol (RTCP) report of vehicles within communication range of the video source [17].…”

Online Source Rate Control for Adaptive Video Streaming Over HSPA and LTE-Style Variable Bit Rate Downlink Channels

“…However, the link throughput at the BS is ber of enhancement layers [17]. Therefore, such CQI-mapping- Against this background, we proposed a novel online source 123 RC framework, where a buffer overflow probability (BOP) 124 estimator is employed at the radio link control (RLC) layer [16], [18], the 133 main contributions of this paper are threefold. 134 • To enable the video encoder to generate a video stream 135 that may be reliably delivered over variable bit rate 136 (VBR) downlink channels, we formulate a constrained 137 optimization problem subject to a constraint imposed on 138 the transmission BOP to guarantee a low delay.…”

“…Therefore, these RC schemes 72 may impose substantial video quality fluctuations. streaming [16]. However, the link throughput at the BS is ber of enhancement layers [17].…”