Physical-layer Rateless Codes for Wireless Channels

Summary

RATELESS codes were initially developed to achieve efficient transmission in erasure channels. The initial work on rateless codes has mainly been limited to erasure channels with the primary application in multimedia video streaming. Recently, the design of rateless codes for wireless channels has attracted significant attention. Rateless codes are particularly beneficial to wireless transmissions because, in contrast to traditional fixed-rate coding schemes, the transmitter potentially does not need to know the channel state information before sending its encoded symbols, and the receiver can retain a resilient decoding performance. This property is of particular importance in the design of codes for time varying wireless channels. It thus has a wide spectrum of applications in various modern wireless communication networks. A major drawback of the existing physical-layer rateless codes is the notably high error floor. Another major drawback of the existing physical-layer rateless codes is that different wireless channel conditions need different check node degree distributions to achieve the near capacity performance.

Supervisor(s)

Professor Yonghui Li, Professor Branka Vucetic

Research Location

Electrical and Information Engineering

Program Type

Masters/PHD

Synopsis

In this project, we will develop novel rateless encoding approach to tackle these two problems by designing new encoding structure and optimizing it based on robust EXIT analytical tools.

Keywords

rateless codes, fountain codes, raptor codes, physical-layer, wireless communications, EXIT, LDPC, graph codes

Opportunity ID

The opportunity ID for this research opportunity is: 1750

Other opportunities with Professor Yonghui Li

• Dynamic spectrum access for wireless multi-hop cognitive radio networks
• Cooperative communications for future wireless networks
• Distributed network channel coding for wireless sensor networks
• Game theory based transmission strategies for cognitive radio
• Signal Processing and Disease Diagnosis in Traditional Chinese Medicine (TCM)
• Millimeter Wave Gigabit Wireless Network Design for 5th Generation (5G) Communications
• Physical Layer Security
• Demand Side Management in Future Smart Grid: Control, Communication, and Security
• Discovering DNA sequences based on error control codes
• Large-scale Machine-to-Machine Communications Networks
• Interference Cancellation in Co-working WLANs
• Iterative channel estimation for high mobility MIMO-OFDM systems
• Design of Novel Channel Coding Techniques for Short Packet Transmission in Massive Internet of Things
• Channel Code Design in Short Block Length Regime: Capacity Analysis and Code Design

Other opportunities with Professor Branka Vucetic

• Interference Cancellation in Co-working WLANs
• Precoded multiuser MIMO and packet scheduling
• Cooperative transmission in MIMO relay broadcast channels
• Iterative channel estimation for high mobility MIMO-OFDM systems
• Dynamic spectrum access for wireless multi-hop cognitive radio networks
• Cooperative communications for future wireless networks
• Distributed network channel coding for wireless sensor networks
• Game theory based transmission strategies for cognitive radio
• Signal Processing and Disease Diagnosis in Traditional Chinese Medicine (TCM)
• Millimeter Wave Gigabit Wireless Network Design for 5th Generation (5G) Communications
• Physical Layer Security
• Demand Side Management in Future Smart Grid: Control, Communication, and Security
• Discovering DNA sequences based on error control codes
• Large-scale Machine-to-Machine Communications Networks
• Design of Network Coding Schemes for Next Generation of Wireless Cellular Systems
• Non-orthogonal multiple access for massive Internet of Things
• Design of Novel Channel Coding Techniques for Short Packet Transmission in Massive Internet of Things
• Channel Code Design in Short Block Length Regime: Capacity Analysis and Code Design