NDLI: Achievable rate region of gaussian broadcast channel with finite input alphabet and quantized output

Content Provider	IEEE Xplore Digital Library
Author	Chandrasekaran, S. Mohammed, S.K. Chockalingam, A.
Copyright Year	2012
Description	Author affiliation: Communication Systems Division, Department of Electrical Engg., Linköping University, Sweden (Mohammed, S.K.) \|\| Department of ECE, Indian Institute of Science, Bangalore, India (Chandrasekaran, S.; Chockalingam, A.)
Abstract	In this paper, we study the achievable rate region of two-user Gaussian broadcast channel (GBC) when the messages to be transmitted to both the users take values from finite signal sets and the received signal is quantized at both the users. We refer to this channel as quantized broadcast channel (QBC). We first observe that the capacity region defined for a GBC does not carry over as such to QBC. Also, we show that the optimal decoding scheme for GBC (i.e., high SNR user doing successive decoding and low SNR user decoding its message alone) is not optimal for QBC. We then propose an achievable rate region for QBC based on two different schemes. We present achievable rate region results for the case of uniform quantization at the receivers. We find that rotation of one of the user's input alphabet with respect to the other user's alphabet marginally enlarges the achievable rate region of QBC when almost equal powers are allotted to both the users.
Starting Page	1
Ending Page	5
File Size	243366
Page Count	5
File Format	PDF
ISBN	9781467308151
e-ISBN	9781467308168
DOI	10.1109/NCC.2012.6176887
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-02-03
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Successive decoding Achievable rate region Receivers Gaussian broadcast channel Quantization Finite input alphabet Encoding Decoding Mutual information Quantized receiver Signal to noise ratio
Content Type	Text
Resource Type	Article

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