Adaptive Multicast Streaming of Virtual Reality Content to Mobile Users

Ahmadi, Hamed; Eltobgy, Omar; Hefeeda, Mohamed

doi:10.1145/3126686.3126743

Cited by 50 publications

(60 citation statements)

References 17 publications

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“…2 Then P {P S | P S = ∅, S ⊆ K, S = ∅} forms a partition of G and I {S | P S = ∅, S ⊆ K, S = ∅} specifies the user sets corresponding to the partition. In contrast with [8], for all S ∈ I, we jointly consider the tiles in P S instead of treating them separately.…”

Section: System Modelmentioning

confidence: 99%

“…In contrast with [8], in [9] we partition the set of tiles to be transmitted into subsets with different subsets for different user groups, and consider the optimization with respect to the subsets of tiles to effectively reduce computational complexity. Note that [8], [9] neglect the fact that channel conditions of users change much faster than their FoVs. Hence, the proposed single timescale solutions in [8], [9] may not yield desired performance in practical systems.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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%

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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show abstract

“…Without loss of generality, we refer to this transmission as multicast, although both unicast and multicast may happen. Later, we shall see that the tile sets S i , i ∈ I instead of tiles serve as optimization units, enabling complexity reduction compared with [10], without loss of optimality. Fig.…”

Section: System Modelmentioning

confidence: 99%

“…As far as we know, [10] is the only work that considers multi-quality 360 VR video transmission in multiuser wireless networks and exploits multicast opportunities to improve transmission efficiency. In particular, [10] optimizes the quality level of each transmitted tile to maximize the total utility of all users, which reflects quality of experience (QoE) of all users. The size of the optimization problem is unnecessarily large, as the modulation and coding scheme (reflecting the quality level) of each tile is optimized separately, and the proposed heuristic algorithm may not provide desirable performance and complexity.…”

Section: Introductionmentioning

confidence: 99%

Optimal Multi-Quality Multicast for 360 Virtual Reality Video

Long

Cui

et al. 2018

2018 IEEE Global Communications Conference (GLOBECOM)

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A 360 virtual reality (VR) video, recording a scene of interest in every direction, provides VR users with immersive viewing experience. However, transmission of a 360 VR video which is of a much larger size than a traditional video to mobile users brings a heavy burden to a wireless network. In this paper, we consider multi-quality multicast of a 360 VR video from a single server to multiple users using time division multiple access (TDMA). To improve transmission efficiency, tiling is adopted, and each tile is pre-encoded into multiple representations with different qualities. We optimize the quality level selection, transmission time allocation and transmission power allocation to maximize the total utility of all users under the transmission time and power allocation constraints as well as the quality smoothness constraints for mixed-quality tiles. The problem is a challenging mixed discrete-continuous optimization problem. We propose two low-complexity algorithms to obtain two suboptimal solutions, using continuous relaxation and DC programming, respectively. Finally, numerical results demonstrate the advantage of the proposed solutions.Index Terms-virtual reality, 360 video, multi-quality multicast, convex optimization, difference of convex programming.

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“…In [2]- [5], the authors consider 360 VR video transmission in single-user [2], [3] and multi-user [4], [5] wireless networks, and optimize video encoding parameters [2], [3] as well as resource allocation [4], [5] to maximize the received 360 VR video quality. The optimization problems in [2]- [5] are discrete, and the obtained solutions do not offer many design insights. In [4], multicast opportunities are ignored, and hence the resulting solution may not be efficient for multi-user wireless networks.…”

Section: Introductionmentioning

confidence: 99%

Optimal Multicast of Tiled 360 VR Video in OFDMA Systems

2018

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In this letter, we study optimal multicast of tiled 360 virtual reality (VR) video from one server (base station or access point) to multiple users in an orthogonal frequency division multiple access (OFDMA) system. For given video quality, we optimize the subcarrier, transmission power and transmission rate allocation to minimize the total transmission power. For given transmission power budget, we optimize the subcarrier, transmission power and transmission rate allocation to maximize the received video quality. These two optimization problems are non-convex problems. We obtain a globally optimal closedform solution and a near optimal solution of the two problems, separately, both revealing important design insights for multicast of tiled 360 VR video in OFDMA systems.Index Terms-virtual reality, 360 video, multicast, OFDMA.

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Adaptive Multicast Streaming of Virtual Reality Content to Mobile Users

Cited by 50 publications

References 17 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

Optimal Multi-Quality Multicast for 360 Virtual Reality Video

Optimal Multicast of Tiled 360 VR Video in OFDMA Systems

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