Steiner et al., 2019 - Google Patents
Optimization of distributed quantizers using an alternating information bottleneck approachSteiner et al., 2019
- Document ID
- 1793539154660383855
- Author
- Steiner S
- Kuehn V
- Publication year
- Publication venue
- WSA 2019; 23rd International ITG Workshop on Smart Antennas
External Links
Snippet
This paper considers a scenario with distributed nodes receiving statistically dependent signals. The nodes have to quantize these signals and forward them over capacity-limited links to a common receiver. As a joint vector quantization is assumed to be infeasible …
- 238000005457 optimization 0 title abstract description 26
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; Arrangements for supplying electrical power along data transmission lines
- H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks ; Receiver end arrangements for processing baseband signals
- H04L25/03006—Arrangements for removing intersymbol interference
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
- H04L1/0015—Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the adaptation strategy
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/004—Arrangements for detecting or preventing errors in the information received by using forward error control
- H04L1/0045—Arrangements at the receiver end
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/004—Arrangements for detecting or preventing errors in the information received by using forward error control
- H04L1/0056—Systems characterized by the type of code used
- H04L1/0057—Block codes
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W28/00—Network traffic or resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W72/00—Local resource management, e.g. wireless traffic scheduling or selection or allocation of wireless resources
- H04W72/04—Wireless resource allocation
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Yang et al. | Quasi-static SIMO fading channels at finite blocklength | |
Sani et al. | Distributed vector estimation for power-and bandwidth-constrained wireless sensor networks | |
Hassanpour et al. | Overview and investigation of algorithms for the information bottleneck method | |
CA2687240C (en) | Load estimation in receiver diversity telecommunication systems | |
Si et al. | A novel and efficient vector quantization based CPRI compression algorithm | |
EP2181512A1 (en) | Supervision of faults in a receiver chain based on noise floor monitoring | |
Steiner et al. | Optimization of distributed quantizers using an alternating information bottleneck approach | |
Steiner et al. | Distributed compression using the information bottleneck principle | |
Khan et al. | Deep compression for efficient and accelerated over-the-air federated learning | |
Liu et al. | Capacity optimality of OAMP in coded large unitarily invariant systems | |
Hassanpour et al. | On the relation between the asymptotic performance of different algorithms for information bottleneck framework | |
Yu et al. | Dynamic transmit covariance design in MIMO fading systems with unknown channel distributions and inaccurate channel state information | |
Jung et al. | Optimized data rate allocation for dynamic sensor fusion over resource constrained communication networks | |
Zhang et al. | Non-parametric statistical learning for URLLC transmission rate control | |
Hassanpour et al. | Forward-aware information bottleneck-based vector quantization: Multiterminal extensions for parallel and successive retrieval | |
Merluzzi et al. | Dynamic resource allocation for wireless edge machine learning with latency and accuracy guarantees | |
Pielli et al. | Minimizing data distortion of periodically reporting iot devices with energy harvesting | |
Stark et al. | Iterative message alignment for quantized message passing between distributed sensor nodes | |
Lewandowsky et al. | Discrete channel estimation by integer passing in information bottleneck graphs | |
Lin et al. | Channel-adaptive quantization for wireless federated learning | |
Yüksel | A random time stochastic drift result and application to stochastic stabilization over noisy channels | |
US9479372B2 (en) | Methods, systems, and media for determining whether a signal of interest is present | |
CN105592006B (en) | IR state transition period selection method and device of ROHC compressor | |
Matamoros et al. | Optimal network size and encoding rate for wireless sensor network-based decentralized estimation under power and bandwidth constraints | |
Hassanpour et al. | A graph-based message passing approach for noisy source coding via information bottleneck principle |