Interference Cancellation for Wireless Networks

Project: Research

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With a dramatic rise in the number of consumer devices connecting to the wireless network, the current wireless network is struggling to provide high data throughput to all the users. Undoubtedly, the primary challenge is multiuser interference. In a distributed network setting, it is also necessary that the receiver of each user decodes the messages independently of all the other users. A natural question is to ask whether successive interference cancellation at each receiver can provide more significant gain than in channels where a receiver wants to decode only desired message in the presence of interference. This requires the network to consider a decoding constraint, i.e., successive decoding of Gaussian superposition codewords, that bridges the complexity between joint decoding (e.g., in Han-Kobayashi schemes) and simply treating interference as noise. In this project, we study the joint optimization problem of maximizing the sum capacity with successive interference cancellation and decoding.


Project number7002756
Grant typeSRG
Effective start/end date1/05/1231/10/14