2017
DOI: 10.1109/jsyst.2015.2493180
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An Efficient Live TV Scheduling System for 4G LTE Broadcast

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Cited by 19 publications
(12 citation statements)
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References 18 publications
(21 reference statements)
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“…The authors made use of unicast bearers for unpopular content and showed considerable bandwidth saving over traditional DTV in urban environments. Along a similar theme, more recent work by Lau et al in [5] further explores broadcast television over cellular networks, once again reinforcing the concepts linking popularity and overall spectral efficiency gains. Further more, the work used real world data and scenarios to develop an audience-driven TV scheduling framework, optimising the scheduling of broadcast resources.…”
Section: Introductionmentioning
confidence: 84%
“…The authors made use of unicast bearers for unpopular content and showed considerable bandwidth saving over traditional DTV in urban environments. Along a similar theme, more recent work by Lau et al in [5] further explores broadcast television over cellular networks, once again reinforcing the concepts linking popularity and overall spectral efficiency gains. Further more, the work used real world data and scenarios to develop an audience-driven TV scheduling framework, optimising the scheduling of broadcast resources.…”
Section: Introductionmentioning
confidence: 84%
“…For example, physical multicast channel (PMCH) is introduced to carry user plane eMBMS data to eMBMS users in the cell. Resource allocation, coding and modulation configuration at PMCH can be further optimized for efficient LTE video broadcasting [54][55][56], although these prospects are rarely applied at mobile operators. …”
Section: Radio Access Network Support For Mobile Video Delivery Over Ltementioning
confidence: 99%
“…Actually, the dominating complexity of the AMSA algorithm is determined mainly by the iteration number of the inner loop, which is equal to M iterations. There is also another factor that is involved in the AMSA algorithm complexity, which is the sample window length L of the two prediction functions (8) and (9). Consequently, the maximum number of iterations of the AMSA algorithm is equal to (2L × M) iterations, where L is a lesser term compared to M and therefore can be ignored, to obtain finally a linear computation complexity of O(M).…”
Section: Adaptive Mbsfn Subframes Allocation Schemementioning
confidence: 99%
“…The authors made use of multicast bearers for popular content and showed considerable bandwidth saving over the traditional mobile TV services. Along a similar theme, a more recent work by Lau et al further explored broadcast television over cellular networks . The work used live scenarios collected within the real‐work context to develop an audience‐driven TV scheduling framework that can optimize the scheduling of broadcast resources.…”
Section: Introductionmentioning
confidence: 99%