Comparison of mobile TV deployment strategies in 3G LTE networks

Rong, Letian; Elayoubi, Salah Eddine

doi:10.1109/wts.2009.5068937

Cited by 16 publications

(14 citation statements)

References 9 publications

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“…In this study, three metrics were used: the Internet Protocol Packet Error Ratio (IP PER), the Erroneous Second Ratio (ESR), and the ESR5 (20). The former represents the percentage of erroneously received IP packets.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…This can be taken into account with the other two metrics. ESR represents the percentage of seconds with errors and ESR5 (20) represents the percentage of time intervals of 20 s with at most 1 s with errors (i.e., 5% errors).…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Rong et al developed several analytical models to assess the performance of the Orthogonal Frequency Division Multiple Access (OFDMA) systems like LTE when carrying TV services [19][20][21]. Firstly, an analytical model for the coverage and capacity estimation of MBSFN operation mode was proposed in [19].…”

Section: Performance Evaluation Of Embmsmentioning

confidence: 99%

“…The authors also investigated the optimum combination of cell range and Modulation and Coding Scheme (MCS) to reach a certain spectral efficiency target. In [20], the authors studied different mobile TV deployment strategies including unicast transmission, single cell p-t-m transmission and MBSFN operation mode. This work analyzes the impact of the provision of TV services on other unicast services, showing that MBSFN is the most suitable solution in terms of throughput degradation.…”

Section: Performance Evaluation Of Embmsmentioning

confidence: 99%

“…This section studies AL-FEC performance over different error metrics such as IP PER, ESR and ESR5 (20). Given a protection period, the maximum service data rate was obtained choosing the best combination of MCS and AL-FEC code rate.…”

Section: Chapter 3 Optimum Delivery Of Embms Servicesmentioning

confidence: 99%

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Broadcasting in 4G mobile broadband networks and its evolution towards 5G

Gaspar¹

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networks and its evolution towards 5GAls meus pares, als meus germans i a Clara. AbstractOne of the challenges of the mobile industry is to cope with the growth of mobile traffic demand expected for the next years, primarily driven by the increasing usage of mobile video services. Indeed, the existence of increasingly powerful terminals is encouraging the consumption of high-quality video content. Usually, video services are identified with linear Television (TV) and scheduled broadcast (point-to-multipoint (p-t-m)) distribution. However, the consumption of video content over mobile networks is different from traditional fixed TV because contents are mainly consumed on-demand with unicast point-to-point (p-t-p) connections. Then, the convergence of linear TV and on-demand content delivery represents a challenge that requires a combined broadcast/unicast transmission model. This dissertation addresses the use of broadcasting technologies for the provision of mobile multimedia services in Fourth Generation (4G) mobile broadband networks and beyond. Specifically, the dissertation focuses on the broadcast technology included in 4G Long Term Evolution (LTE) and LTE Advanced (LTE-A) networks, known as Evolved Multimedia Broadcast Multicast Services (eMBMS). It analyses the benefits of the eMBMS physical layer aspects regarding Multimedia Broadcast Multicast Services over Single Frequency Network (MBSFN) deployments and identifies the current limitations of eMBMS at physical layer by comparing with the broadcast technology of the other 4G mobile system, the IEEE 802.16m standard. Those limitations are the use of a dedicated carrier and Multiple-Input Multiple-Output (MIMO) techniques for broadcast transmissions. Our investigations employ a complete simulation platform including link-level and system-level simulations to evaluate the performance of broadcast transmissions in these real technologies.The research on eMBMS services is aimed at finding the optimum delivery of streaming and file download services focusing on the Radio Resource Management (RRM) problem and trade-off between Physical layer -Forward Error Correction (PHY-FEC) and Application Layer -Forward Error Correction (AL-FEC). Concerning streaming services, results show that the use of i ABSTRACT AL-FEC increases the coverage level and, then, the maximum service data rate. The gain due to AL-FEC is greater in scenarios with high mobility users, although, this gain is limited if low zapping times are desired. Regarding file delivery services, this dissertation analyses the duration of the transmission required to guarantee the correct file reception and the reduction in the mean throughput of unicast users with different delivery modes. They are the unicast delivery, the eMBMS delivery and a hybrid approach, which combines a first eMBMS delivery with a post-delivery error repair phase with unicast transmissions. Our results show that the hybrid delivery is the most efficient configuration in terms of file download time, although it further reduces unicast ...

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Simulation Resultsmentioning

confidence: 99%

Section: Performance Evaluation Of Embmsmentioning

confidence: 99%

Section: Performance Evaluation Of Embmsmentioning

confidence: 99%

Section: Chapter 3 Optimum Delivery Of Embms Servicesmentioning

confidence: 99%

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Broadcasting in 4G mobile broadband networks and its evolution towards 5G

Gaspar¹

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Adaptive MBSFN subframe allocation scheme for VBR video streaming over LTE‐A networks

Boujelben

Jemaa²

2018

Trans Emerging Tel Tech

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Meeting the growing demand for multimedia services is still the main challenge for the current mobile network technologies. The 3rd Generation Partnership Project has proposed an emerging technology called multimedia broadcast/multicast service (MBMS). This service is gaining traction as a method of efficiently using the scarce wireless resources for multicasting the same content to a large number of users belonging to the same area. In the multicast broadcast single frequency network (MBSFN) context, the conventional approach specified by the 3rd Generation Partnership Project standard adopts a semistatic resource allocation mechanism for MBMS services according to their quality‐of‐service parameters. More precisely, the resources assigned to all MBMS service flows remain unchanged along the transmission period and reallocation may take place only when a new multicast session is admitted for transmission or a current session ends. This approach is inefficient and not suitable, especially for services with variable bit rate such as live video streaming. In this paper, we propose a proactive resource allocation algorithm that can dynamically adjust the subframe allocation within an MBSFN area in order to keep pace with the variable bit rate traffics' fluctuations. The basic idea of the proposed solution is to periodically reallocate the MBSFN subframes, in case of persistent over or under allocations, based on a linear prediction model of the resources actually consumed and the traffic behavior. The simulation results show that our proposed algorithm can reduce the waste of MBSFN resources, which could be used for other multicast or unicast transmissions, without violating the quality‐of‐service and fairness constraints.

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