What is he best known for?
The fields of study he is best known for:
- Computer network
- Statistics
- Telecommunications
Holger Boche spends much of his time researching Mathematical optimization, Communication channel, MIMO, Topology and Computer network.
His work deals with themes such as Telecommunications link and Power control, which intersect with Mathematical optimization.
His Communication channel research is multidisciplinary, incorporating elements of Transmission, Secrecy, Decoding methods, Transmitter and Robustness.
His MIMO research also works with subjects such as
- Control theory which connect with Monotonic function and Throughput,
- Transmitter power output that intertwine with fields like Spatial multiplexing.
His work carried out in the field of Topology brings together such families of science as Quantum channel and Quantum capacity.
His Computer network research includes themes of Relay and Wireless network, Radio resource management.
His most cited work include:
- Solution of the multiuser downlink beamforming problem with individual SINR constraints (1089 citations)
- Broadcast Capacity Region of Two-Phase Bidirectional Relaying (338 citations)
- Channel capacity and capacity-range of beamforming in MIMO wireless systems under correlated fading with covariance feedback (260 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Communication channel, Mathematical optimization, Computer network, Topology and Algorithm.
His Communication channel research is multidisciplinary, relying on both Transmitter, Transmission, Secrecy and Decoding methods.
His Mathematical optimization research is multidisciplinary, incorporating perspectives in MIMO, Resource allocation, Interference and Power control.
Holger Boche has researched MIMO in several fields, including Covariance matrix and Gaussian.
His Power control study frequently links to other fields, such as Telecommunications link.
His research on Computer network also deals with topics like
- Relay, which have a strong connection to Node,
- Wireless that connect with fields like Quality of service.
He most often published in these fields:
- Communication channel (25.53%)
- Mathematical optimization (18.03%)
- Computer network (17.45%)
What were the highlights of his more recent work (between 2017-2021)?
- Communication channel (25.53%)
- Transmission (10.89%)
- Topology (14.52%)
In recent papers he was focusing on the following fields of study:
Holger Boche mainly investigates Communication channel, Transmission, Topology, Quantum and Algorithm.
His research in Communication channel intersects with topics in Randomness, Computer network, Secrecy and Identification.
In his research on the topic of Randomness, MIMO and Gaussian is strongly related with Communications system.
His Transmission research also works with subjects such as
- Key which connect with Information-theoretic security and Transmitter,
- Fading that connect with fields like Additive white Gaussian noise.
His Topology study combines topics in areas such as Quantum information and Quantum entanglement.
Holger Boche has included themes like Code division multiple access, Bandlimiting, Sequence and Signal processing in his Algorithm study.
Between 2017 and 2021, his most popular works were:
- Secure Identification for Wiretap Channels; Robustness, Super-Additivity and Continuity (24 citations)
- Secure Identification Under Passive Eavesdroppers and Active Jamming Attacks (23 citations)
- On the Algorithmic Solvability of Spectral Factorization and Applications (11 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Statistics
- Telecommunications
Holger Boche focuses on Communication channel, Algorithm, Identification, Turing machine and Computable function.
His biological study spans a wide range of topics, including Quantum, Transmission and Topology.
His Transmission research includes elements of Quantum information science and Electronic engineering.
His Algorithm study combines topics from a wide range of disciplines, such as Correlation, Encoder, Signal processing, Randomness and Gaussian.
His study focuses on the intersection of Identification and fields such as Channel capacity with connections in the field of Resource allocation and Distributed computing.
His Secrecy study incorporates themes from Computer network and Robustness.
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