Cross-layer coordination for efficient contents delivery in LTE eMBMS traffic

Baik, Eilwoo; Pande, Amit; Mohapatra, Prasant

doi:10.1109/mass.2012.6502540

Cited by 7 publications

(5 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…And so, the QoS is described by the video frame loss rate after FEC correction. Many works tried to assess these error probabilities [27], [28], [29]. The derivation procedure detailed in the previous references is explained in the following :…”

Section: A Model Of Video Frame Loss Probabilitymentioning

confidence: 99%

Impact of Playout Buffering on Mobile TV Performance

Razzac

Elayoubi

Chahed

et al. 2016

IEEE Trans. on Mobile Comput.

View full text Add to dashboard Cite

We study in this work the quality of experience of live mobile TV users in the presence of a playout buffer at the receiver side. We specifically consider an LTE network delivering both unicast and broadcast services, and study two cases: i. lossless channels where interruptions in mobile TV delivery are due to the absence of resources at the base station because they are totally consumed by higher priority real-time voice services, and ii. lossy channels, where we propose to exploit the existence of feedback channels to request, if possible, retransmission of the lost video frame. We derive in both cases several QoS metrics pertaining to mobile TV performance, such as interruption frequency and duration as well as video frame loss probability. Our results show the trends of these metrics as a function of several system parameters and yield design rules for network planning as well as for the playout buffer so as to enhance efficiently the live TV watching experience.

show abstract

Section: A Model Of Video Frame Loss Probabilitymentioning

confidence: 99%

Impact of Playout Buffering on Mobile TV Performance

Razzac

Elayoubi

Chahed

et al. 2016

IEEE Trans. on Mobile Comput.

View full text Add to dashboard Cite

show abstract

“…2/3 of the users have good channel conditions and can use a high-rate coding scheme, and 1/3 of the users have poor channel conditions and use a low-rate coding scheme. The discrete set of possible coding schemes is specified by LTE and maps to approximately [20,31,50,79,116,155,195,253,318,360,439,515,597,675,733] bits/RB [1]. The distribution of bits/RB for the users is bimodal normal with means 555 and 198 (1/4 and 3/4 of the range of coding schemes) and standard deviation 59 (to span the range of coding schemes).…”

Section: Performance Evaluationmentioning

confidence: 99%

“…One might expect cells with few multicast and many unicast users to suffer, because resources are being unnecessarily allocated for multicast. In this experiment, we set up two eNBs, one with more unicast users (40) than multicast users (4), and one with fewer unicast user (10) than multicast users (20). In Fig.…”

Section: Impact Of the Multicast Weighting Functionmentioning

confidence: 99%

Fair and optimal resource allocation for LTE multicast (eMBMS): Group partitioning and dynamics

Chen

Chiang

Erman

et al. 2015

2015 IEEE Conference on Computer Communications (INFOCOM)

View full text Add to dashboard Cite

With recent standardization and deployment of LTE eMBMS, cellular multicast is gaining traction as a method of efficiently using wireless spectrum to deliver large amounts of multimedia data to multiple cell sites. Cellular operators still seek methods of performing optimal resource allocation in eMBMS based on a complete understanding of the complex interactions among a number of mechanisms: the multicast coding scheme, the resources allocated to unicast users and their scheduling at the base stations, the resources allocated to a multicast group to satisfy the user experience of its members, and the number of groups and their membership, all of which we consider in this work. We determine the optimal allocation of wireless resources for users to maximize proportional fair utility. To handle the heterogeneity of user channel conditions, we efficiently and optimally partition multicast users into groups so that users with good signal strength do not suffer by being grouped together with users of poor signal strength. Numerical simulations are performed to compare our scheme to practical heuristics and state-of-the-art schemes. We demonstrate the tradeoff between improving unicast user rates and improving spectrum efficiency through multicast. Finally, we analyze the interaction between the globally fair solution and individual user's desire to maximize its rate. We show that even if the user deviates from the global solution in a number of scenarios, we can bound the number of selfish users that will choose to deviate. * The authors are in alphabetical order except for the 1 st author. 1 This work was done when Jiasi Chen and K.K. Ramakrishnan were at AT&T Labs.

show abstract

“…Hardware architectures have been proposed for mobile video compression and encryption [9][10][11]. Efficient video transmission in cellular low bandwidth scenarios has also been discussed [12][13][14][15][16]. With 4G LTE becoming popular, we attempt to understand the features of LTE which help in high quality video transmission.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Video Communications Over 4G Network

Pande¹

2014

Intelligent Computing, Networking, and Informatics

View full text Add to dashboard Cite

With exponential increase in the volumes of video traffic in cellular networks, there is an increasing need for optimizing the quality of video delivery. Fourth-generation networks (Long-Term Evolution-Advanced or LTE-A) are being introduced in many countries worldwide, which allow a downlink speed of up to 1 Gbps and uplink of 100 Mbps over a single base station. In this paper, we characterize the performance of LTE-A physical layer in terms of transmitted video quality when the channel conditions and LTE settings are varied. We test the performance achieved as the channel quality is changed and HARQ features are enabled in physical layer. Blocking and blurring metrics were used to model image quality.

show abstract

Cross-layer coordination for efficient contents delivery in LTE eMBMS traffic

Cited by 7 publications

References 19 publications

Impact of Playout Buffering on Mobile TV Performance

Impact of Playout Buffering on Mobile TV Performance

Fair and optimal resource allocation for LTE multicast (eMBMS): Group partitioning and dynamics

Performance Evaluation of Video Communications Over 4G Network

Contact Info

Product

Resources

About