Context-aware multimedia broadcast and multicast service area planning in 4G networks

Hwang, Ren-Hung; Huang, Chi-Fu; Lin, Chu‐Hsing; Chung, Chih-Yang

doi:10.1016/j.comcom.2015.02.010

Cited by 5 publications

(2 citation statements)

References 29 publications

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“…That work shows that, even in the simple case where throughput is neglected, forming optimal MBSFNs is a MILP problem. A similar formulation is obtained by the authors of [10], who also propose and evaluate two alternative solution strategies, based on an iterative approach (fuse-and-refine) and genetic algorithms respectively. Finally, the more recent work [11] targets the area formation problem by assigning a single frequency for each area, and enlisting the help of user devices to assist the broadcast via device-to-device transfers.…”

Section: Previous Work and Contributionmentioning

confidence: 91%

“…To our knowledge, the only previous works dealing with aspects related to the formation or the configuration of MBSFNs are [13,15,9,10,11]. The analysis in [13] assumes eNBs to be distributed according to a random point process and studies the impact of the minimum spatial separation between eNBs on the network outage probability.…”

Section: Previous Work and Contributionmentioning

confidence: 99%

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Area formation and content assignment for LTE broadcasting

et al. 2017

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Broadcasting and multicasting services in LTE networks are shaping up to be an effective way to provide popular content. A key requirement is that cells are aggregated into areas where a tight time synchronization among transmissions is enforced, so as to broadcast the same radio resources. Our paper addresses a facet of LTE broadcasting that has so far received little attention: the creation of broadcasting areas and the assignment of content to them in order to efficiently exploit radio resources and satisfy user requests. Our original clustering approach, named Single-Content Fusion, achieves these goals by initially aggregating cells into single-content areas and maximizing cell similarity in content interests. Aggregated areas are then merged into multiple-content areas by virtue of similar spatial coverage. We show the validity of our solution pointing out the advantages it provides in comparison to other approaches. We also discuss the impact of various system factors (e.g., number of served users, broadcast data rate, area size) and the scalability of our proposal in large, realistic scenarios with both static and time-varying user interest.

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Section: Previous Work and Contributionmentioning

confidence: 91%