Multicast and Broadcast Services Over Mobile Networks: A Survey on Standardized Approaches and Scientific Outcomes

Striccoli, Domenico; Piro, Giuseppe; Boggia, Gennaro

doi:10.1109/comst.2018.2880591

Cited by 25 publications

(11 citation statements)

References 144 publications

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“…coding rates, multirate multicast becomes capable of serving subscribers having diverse channel conditions at different video qualities [24]. In [12], the opportunistic schemes were improved for supporting multirate multicast by exploiting multiple description coding (MDC) [25]. The original video was coded into multiple representations having various rates so that the subscribers could adaptively select the most appropriate representation according to their near-instantaneous channel conditions.…”

Section: Related Workmentioning

confidence: 99%

“…The problem can be formulated as: (11). (12) Generally, addressing such a time-averaged constrained optimization problem hinges on the dynamics of users' requests and channel quality, but there is no priori knowledge about them. To overcome this difficulty, we will develop an online algorithm based on Lyapunov optimization theory.…”

Section: Problem Formulationmentioning

confidence: 99%

“…To overcome these issues, most MSRA schemes proposed rely on heuristic algorithms [12]- [14]. They tend to have lowcomplexity implementation, but provide sub-optimal solutions.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic Resource Allocation for Scalable Video Multirate Multicast Over Wireless Networks

Chen

Yang

et al. 2020

IEEE Trans. Veh. Technol.

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Aided by scalable video coding, multirate multicast has become a promising technique of providing differentiated quality of experience (QoE) for massive numbers of video subscribers operating in heterogeneous channel conditions. Nevertheless, due to the time-varying nature of wireless channels and the subscribers' diverse requirements, it is challenging to dynamically control the video rate in the light of the available radio resource to achieve the best QoE. To elaborate a little further, the time scale of resource scheduling is of short-term nature, which determines the short-term video quality variation, but from a service provider's perspective the design objective is to optimize the long-term QoE for all subscribers. Despite its importance, this problem has not been considered before. Explicitly, we formulated this problem as a time-averaged stochastic optimization problem which avoids the impact of both the shortterm channel quality fluctuation and that of the video bitrates, whilst maintaining both inter-and intra-group fairness. The stratified structure of the problem inspires us to decompose it into a two-phase optimization: coarse grained assignment for each user group and fine grained assignment for each subgroup. We propose an adaptive multicast algorithm based on Lyapunov's optimization theory for solving this problem, by striking a compelling trade-off between the system's utility and its queue stability. We quantify the achievable performance of our proposed solution based on realistic video traces.

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Section: Related Workmentioning

confidence: 99%

Section: Problem Formulationmentioning

confidence: 99%

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Dynamic Resource Allocation for Scalable Video Multirate Multicast Over Wireless Networks

Chen

Yang

et al. 2020

IEEE Trans. Veh. Technol.

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“…is the pointwise minimum of a family of affine functions, the optimal point is one of the coordinates of the intersections of the lines given in (7) or boundaries. Instead of examining all the continuous values of B B in the range of (B |Ω B | , B |Ω| ], the optimal point can be found iteratively, as shown in Algorithm 1.…”

Section: Single-cell Multicast Transmission Scheme With Full Channel mentioning

confidence: 99%

“…Obviously, as more people use the multicast service, multicast transmission consumes fewer resources than unicast transmission, since it uses a single, common multicast channel instead of as many unicast channels as the number of users. Unlike unicast transmission, however, conventional multicast transmission receives no feedback from users on channel quality information and therefore, the well-known link adaptation cannot be applied, that is, modulation level and coding rate are fixed [7]. Therefore, bandwidth is determined conservatively so that even the user having the worst channel quality, herein called the worst user, can obtain a target multicast rate.…”

Section: Introductionmentioning

confidence: 99%

Optimal Resource Allocation for a Single-Cell Multicast Transmission Scheme with a Supplementary Multicast Channel

Kwon

Kim

2019

Electronics

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Multicast transmission is an attractive solution when a large number of users receive the same content in a wide area, for example, as with mobile TV. Ever since the multimedia broadcast multicast service (MBMS) was introduced in the 3rd Generation Partnership Project (3GPP), continuing work on the multicast transmission has been done and its importance is growing in the fifth generation (5G) cellular networks. The use cases of multicast transmission have been enlarged from mobile TV and public safety to vehicular-to-everything (V2X) and unmanned aerial vehicles (UAV). Recently, for group communications in public safety networks and for geographical information sharing in automotive, airborne and social networks, multicast transmission has been targeted at fewer users in a relatively small area, which has stimulated extensive research on the single-cell multicast transmission scheme. In the proposed single-cell multicast transmission scheme, a supplementary multicast channel is additionally assigned in a single-cell multicast transmission scheme to exploit channel diversity. The resource allocation is adaptive to the channel variations of the users (responsive to users QoS needs), using channel feedback from the users, in contrast with previous approaches where resources were determined conservatively. An optimal resource allocation problem to minimize the required bandwidth while enabling every user to obtain the target multicast rate is formulated as a convex problem and an iterative algorithm is proposed in a computationally efficient way. Performance is evaluated mathematically and through intensive simulations, where other cell interference is considered using a fluid model. The proposed single-cell multicast transmission scheme provides benefits in comparison to existing multicast schemes in the simulations, under a set of various parameters including the number of multicast users and channel correlation between the multicast channels.

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Analysis and Clustering of Sensor Recorded Data to Determine Sensors Consuming the Least Energy

Abbi¹,

Arora²,

Gupta³

et al. 2022

Smart and Sustainable Approaches for Optimizing Performance of Wireless Networks

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Multicast and Broadcast Services Over Mobile Networks: A Survey on Standardized Approaches and Scientific Outcomes

Cited by 25 publications

References 144 publications

Dynamic Resource Allocation for Scalable Video Multirate Multicast Over Wireless Networks

Dynamic Resource Allocation for Scalable Video Multirate Multicast Over Wireless Networks

Optimal Resource Allocation for a Single-Cell Multicast Transmission Scheme with a Supplementary Multicast Channel

Analysis and Clustering of Sensor Recorded Data to Determine Sensors Consuming the Least Energy

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