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5GCodes 2015 - 2015 Workshop on Coding Techniques for 5G Networks (5GCodes)

Date2015-05-20 - 2015-05-22

Deadline2015-01-20

VenueBudapest, Hungary Hungary

Keywords

Websitehttp://kom.aau.dk/~del/5GCodes.html

Topics/Call fo Papers

This workshop brings together different techniques in the growing research area of 5G communications with a focus on the error correcting and erasure correcting codes necessary to support the various services of 5G networks. 5G systems shall bring a more holistic view on the storage and transport of the data within the network in order to address a series of key future challenges, including, extremely low delay (in the order of milliseconds), massive number of connected (heterogeneous) devices and traffic loads. In the light of 5G communications, both the requirements and potential of codes are growing. The goal of codes in 5G is not only to provide reliability to transmitted data, but it should also be compatible with the natural heterogeneity of the connected systems, the stringent delay requirements of some applications, and even storage systems. Thus, the workshop aims to provide a cutting-edge venue for discussing coding theory and its applications to 5G networks at different levels of the network stack, including, physical layer techniques, packet-level coding techniques (e.g., network coding),and even codes for more efficient caching and storage in 5G networks.
Keynote speaker
To be announced.
Topics of interest include (but are not limited to):
- Polar codes
- LDPC block codes and codes on graphs
- Spatially coupled (convolutional) LDPC codes
- Turbo codes, including parallel, serial, and hybrid concatenation
- Spinal codes, braided codes, and staircase codes
- Secure and error-resilient codes
- Codes for caching and distributed storage
- Fountain codes, including, LT codes, Raptor Codes
- Network coding, including novel code constructions, tunable sparse codes, fulcrum network codes
- Erasure codes for transport protocols
- Codes for heterogeneous networks, Device-to-device communications, and Machine-to-Machine communications
- Joint source-channel coding
- Joint source-network coding
- Efficient decoding methods and algorithms
- Practical Implementations, Test-beds and Demonstrations

Last modified: 2015-01-31 23:23:10