JET: Joint source and channel coding for error resilient virtual reality video wireless transmission

Liu, Zhi; Ishihara, Susumu; Cui, Ying; Ji, Yusheng; Tanaka, Yoshiaki

doi:10.1016/j.sigpro.2018.01.009

Cited by 36 publications

(32 citation statements)

References 21 publications

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“…For an arbitrary time frame of duration T (in seconds), 3 let H k ∈ H denote the random channel state of user k, representing the power of the channel between user k and the server, where H denotes the finite channel state space. Let H (H k ) k∈K ∈ H K denote the random system channel (3,4), (2,5), (3,5), (2,6), (3,6) (4,5), (3,6), (4,6), (3,7),(4, 7)}, r 1 = 1, r 2 = 2 and r 3 = 2.…”

Section: System Modelmentioning

confidence: 99%

“…In our previous work [3], [4], we consider optimal transmission of a single-quality tiled 360 VR video in a TDMA system and an OFDMA system, respectively, by exploiting multicast opportunities. In [5]- [7], the authors consider transmission of a multi-quality tiled 360 VR video in singer-user wireless networks and focus on the optimal quality level selection for each tile to be transmitted. The proposed solutions in [5]- [7] may not imply efficient multicast of a multi-quality tiled 360 VR video, as optimal resource sharing among users with heterogeneous channel conditions is not considered and multicast opportunities are ignored.…”

Section: Introductionmentioning

confidence: 99%

“…In [5]- [7], the authors consider transmission of a multi-quality tiled 360 VR video in singer-user wireless networks and focus on the optimal quality level selection for each tile to be transmitted. The proposed solutions in [5]- [7] may not imply efficient multicast of a multi-quality tiled 360 VR video, as optimal resource sharing among users with heterogeneous channel conditions is not considered and multicast opportunities are ignored. In [8], [9], the scenario of transmitting a multi-quality tiled 360 VR video to multiple users is considered, and multicast opportunities are utilized to improve transmission efficiency.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimal Transmission of Multi-Quality Tiled 360 VR Video by Exploiting Multicast Opportunities

Long

Cui

et al. 2019

2019 IEEE Global Communications Conference (GLOBECOM)

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In this paper, we would like to investigate fundamental impacts of multicast opportunities on efficient transmission of a 360 VR video to multiple users in the cases with and without transcoding at each user. We establish a novel mathematical model that reflects the impacts of multicast opportunities on the average transmission energy in both cases and the transcoding energy in the case with user transcoding, and facilitates the optimal exploitation of transcoding-enabled multicast opportunities. In the case without user transcoding, we optimize the transmission resource allocation to minimize the average transmission energy by exploiting natural multicast opportunities. The problem is nonconvex. We transform it to an equivalent convex problem and obtain an optimal solution using standard convex optimization techniques. In the case with user transcoding, we optimize the transmission resource allocation and the transmission quality level selection to minimize the weighted sum of the average transmission energy and the transcoding energy by exploiting both natural and transcodingenabled multicast opportunities. The problem is a challenging mixed discrete-continuous optimization problem. We transform it to a Difference of Convex (DC) programming problem and obtain a suboptimal solution using a DC algorithm. Finally, numerical results demonstrate the importance of effective exploitation of transcoding-enabled multicast opportunities in the case with user transcoding.

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Section: System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimal Transmission of Multi-Quality Tiled 360 VR Video by Exploiting Multicast Opportunities

Long

Cui

et al. 2019

2019 IEEE Global Communications Conference (GLOBECOM)

Self Cite

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“…Its basic idea is to fetch the invisible portion of a video at the lowest quality based on users head movement prediction, and to adaptively decide the video playback quality for the visible portion based on bandwidth prediction. Liu et al considered unequal error protection for FoV and formulated the inherent error resilient VR video transmission problem into a joint source and channel coding problem [5].…”

Section: B Related Workmentioning

confidence: 99%

An Algorithm for Transmitting VR Video Based on Adaptive Modulation

Feng

Zhai

et al. 2019

2019 IEEE/CIC International Conference on Communications in China (ICCC)

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Virtual reality (VR) is making waves around the world recently. However, traditional video streaming is not suitable for VR video because of the huge size and view switch requirements of VR videos. Since the view of each user is limited, it is unnecessary to send the whole 360-degree scene at high quality which can be a heavy burden for the transmission system. Assuming filed-of-view (FoV) of each user can be predicted with high probability, we can divide the video screen into partitions and send those partitions which will appear in FoV at high quality. Hence, we propose an novel strategy for VR video streaming. First, we define a quality-of-experience metric to measure the viewing experience of users and define a channel model to reflect the fluctuation of the wireless channel. Next, we formulate the optimization problem and find its feasible solution by convex optimization. In order to improve bandwidth efficiency, we also add adaptive modulation to this part. Finally, we compare our algorithm with other VR streaming algorithm in the simulation. It turns out that our algorithm outperforms other algorithms.

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“…To improve the quality of experience (QoE) [1], most 360-degree videos have 6K or even higher resolution. Streaming such high-resolution videos is non-trivial because of the limited bandwidth of wireless communication channels [2]. In addition, there has been a recent trend toward highquality 360-degree video content creation using 3D panoramic VR cameras.…”

Section: Introductionmentioning

confidence: 99%

QoE-Driven Coupled Uplink and Downlink Rate Adaptation for 360-Degree Video Live Streaming

Feng

Sun

et al. 2020

IEEE Commun. Lett.

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360-degree video provides an immersive 360-degree viewing experience and has been widely used in many areas. The 360-degree video live streaming systems involve capturing, compression, uplink (camera to video server) and downlink (video server to user) transmissions. However, few studies have jointly investigated such complex systems, especially the rate adaptation for the coupled uplink and downlink in the 360degree video streaming under limited bandwidth constraints. In this letter, we propose a quality of experience (QoE)-driven 360-degree video live streaming system, in which a video server performs rate adaptation based on the uplink and downlink bandwidths and information concerning each user's real-time field-of-view (FOV). We formulate it as a nonlinear integer programming problem and propose an algorithm, which combines the Karush-Kuhn-Tucker (KKT) condition and branch and bound method, to solve it. The numerical results show that the proposed optimization model can improve users' QoE significantly in comparison with other baseline schemes.

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JET: Joint source and channel coding for error resilient virtual reality video wireless transmission

Cited by 36 publications

References 21 publications

Optimal Transmission of Multi-Quality Tiled 360 VR Video by Exploiting Multicast Opportunities

Optimal Transmission of Multi-Quality Tiled 360 VR Video by Exploiting Multicast Opportunities

An Algorithm for Transmitting VR Video Based on Adaptive Modulation

QoE-Driven Coupled Uplink and Downlink Rate Adaptation for 360-Degree Video Live Streaming

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