P
Pablo Angueira
Researcher at University of the Basque Country
Publications - 216
Citations - 2617
Pablo Angueira is an academic researcher from University of the Basque Country. The author has contributed to research in topics: Multiplexing & Computer science. The author has an hindex of 23, co-authored 190 publications receiving 2073 citations. Previous affiliations of Pablo Angueira include University of Cagliari.
Papers
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Journal ArticleDOI
Layered-Division-Multiplexing: Theory and Practice
Liang Zhang,Wei Li,Yiyan Wu,Xianbin Wang,Sung-Ik Park,Heung Mook Kim,Jae-Young Lee,Pablo Angueira,Jon Montalban +8 more
TL;DR: A detailed overview of the fundamental advantages of the LDM over the traditional TDM/FDM systems are analyzed from information theory point of view, and the efficient implementation of LDM in the ATSC 3.0 system is presented to show that the performance advantages are obtained with small additional complexity.
Journal ArticleDOI
Low Complexity Layered Division Multiplexing for ATSC 3.0
Sung-Ik Park,Jae-Young Lee,Seho Myoung,Liang Zhang,Yiyan Wu,Jon Montalban,Sunhyoung Kwon,Bo-Mi Lim,Pablo Angueira,Heung Mook Kim,Namho Hur,Jeongchang Kim +11 more
TL;DR: Simulation and laboratory test results show that the proposed LDM system has significant performance advantage (3-9 dB) over traditional TDM systems, and maintains its performance up to the velocity of 260 km/h in mobile reception.
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Multimedia Multicast Services in 5G Networks: Subgrouping and Non-Orthogonal Multiple Access Techniques
Jon Montalban,Pasquale Scopelliti,Mauro Fadda,Eneko Iradier,Cristina Desogus,Pablo Angueira,Maurizio Murroni,Giuseppe Araniti +7 more
TL;DR: The present article proposes the joint use of subgrouping multicast techniques and NOMA in an eMBMS-like scenario, and performance is evaluated in envisaged 5G environments, where different quality video services are delivered to a group of users interested in the same contents.
Journal ArticleDOI
Cloud Transmission: System Performance and Application Scenarios
Jon Montalban,Liang Zhang,U. Gil,Yiyan Wu,Itziar Angulo,Khalil Salehian,Sung-Ik Park,Bo Rong,Wei Li,Heung Mook Kim,Pablo Angueira,Manuel Velez +11 more
TL;DR: The performance of Cloud Txn broadcasting system is described, which is designed to withstand combined noise, co-channel interference and multipath distortion power levels higher than the desired signal power.
Journal ArticleDOI
On the Methodology for Calculating SFN Gain in Digital Broadcast Systems
TL;DR: An unambiguous methodology to obtain the actual SFN gain is presented and the variation of the gain is investigated for a DVB-H network as a function of the signal strength difference received from different transmitters.