R
Raymond Knopp
Researcher at Institut Eurécom
Publications - 233
Citations - 7141
Raymond Knopp is an academic researcher from Institut Eurécom. The author has contributed to research in topics: Communication channel & MIMO. The author has an hindex of 32, co-authored 230 publications receiving 6832 citations. Previous affiliations of Raymond Knopp include École Polytechnique Fédérale de Lausanne & McGill University.
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Journal ArticleDOI
Joint Optimization of Service Function Chaining and Resource Allocation in Network Function Virtualization
TL;DR: Results have shown that JoraNFV can get a solution within 1.25 times of the optimal solution with reasonable execution time, which indicates that Joras can be used for online NFV planning.
Journal ArticleDOI
Hard Fairness Versus Proportional Fairness in Wireless Communications: The Single-Cell Case
TL;DR: A wireless communication system formed by a single cell with one base station and K user terminals is considered, which finds simple iterative resource allocation algorithms that converge to the optimal delay-limited throughput for orthogonal (frequency-division multiple access (FDMA)/time-divisionmultiple access (TDMA)) and optimal (superposition/interference cancellation) signaling.
Journal ArticleDOI
MU-MIMO in LTE Systems
Jonathan Duplicy,Biljana Badic,Rajarajan Balraj,Rizwan Ghaffar,Peter Horvath,Florian Kaltenberger,Raymond Knopp,Istvan Z. Kovacs,Hung T. Nguyen,Deepaknath Tandur,Guillaume Vivier +10 more
TL;DR: It is shown that MU-MIMO only offers marginal performance gains with respect to single-user MIMO and calls for improved schemes for the upcoming releases.
Proceedings ArticleDOI
Multi-Pair Two-Way Relay Channel with Multiple Antenna Relay Station
TL;DR: This paper considers a multi-pair two-way relay channel where the single-antenna mobile terminals on each pair seek to communicate, and can do so, via a common multiple antenna relay station (RS), and proposes different transmit/receive beamforming schemes at the RS that outperform the Decode-and-Forward relaying strategy.
Proceedings ArticleDOI
Correlation and capacity of measured multi-user MIMO channels
TL;DR: The results show that in most scenarios MU-MIMO provides a higher throughput than SU-M IMO also in the measured channels, however, in outdoor scenarios with a line of sight, the capacity drops significantly when the users are close together, due to high correlation at the transmitter side of the channel.