Name
Abstract | ||
|---|---|---|
This paper studies layered division multiplexing (LDM) for local cover age/services, such as location targeted advertisement or local content insertion. The LDM upper layer can be used to deliver time-division multiplexed (TDM-ed) mobile-HD and 4k-UHD services. The LDM lower layer with a negative SNR threshold can reliably provide seamless local coverage/service from each single frequency network (SFN) transmitter without coverage gaps among adjacent SFN transmitter service areas. No directional receiving antenna is required and receivers simply tune into the stronger local received signal. This is the concept of Cloud Transmission. In LDM system, the upper layer is operating in a traditional SFN mode to provide network-wide coverage. The lower layer is actually operating in a special form of Distributed MIMO or gap-filler mode to provide a targeted local coverage. Only Advanced Television Systems Committee (ATSC) 3.0 Baseline Technologies are used, i.e., there is no need to modify the ATSC 3.0 standard. Giving the upper and lower layers data rate requirements and the SNR thresholds, the lower layer injection level can be optimized for maximizing upper and lower layer performance and coverage. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/BMSB.2016.7521967 | 2016 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB) |
Keywords | Field | DocType |
Local Service Insertion,SFN,LDM,Distributed MIMO,Cloud Transmission,Gap-Filler,NOMA,DTTB,Digital Broadcasting,eMBMS | High-definition video,Transmitter,Single-frequency network,Computer science,Signal-to-noise ratio,Computer network,MIMO,Data rate,Multiplexing,Cloud computing | Conference |
ISSN | ISBN | Citations |
2155-5044 | 978-1-4673-9045-3 | 3 |
PageRank | References | Authors |
0.42 | 9 | 15 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Li | 1 | 422 | 56.67 |
| Yiyan Wu | 2 | 1610 | 180.83 |
| Liang Zhang | 3 | 464 | 92.08 |
| Khalil Salehian | 4 | 161 | 20.41 |
| Sebastien Lafleche | 5 | 28 | 5.61 |
| Dazhi He | 6 | 137 | 33.79 |
| Yao Wang | 7 | 19 | 4.33 |
| Yunfeng Guan | 8 | 148 | 27.38 |
| Wenjun Zhang | 9 | 1789 | 177.28 |
| Jon Montalban | 10 | 305 | 37.04 |
| Pablo Angueira | 11 | 390 | 47.52 |
| Manuel Vélez | 12 | 272 | 40.08 |
| sung ik park | 13 | 626 | 81.37 |
| Jae-Young Lee | 14 | 237 | 20.64 |
| Heung Mook Kim | 15 | 472 | 65.04 |