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An Optimal Two-Step Decoding for PSK-Modulated Noisy Index Coding

delete2024-10-01
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N
Navya Saxena
A
Anjana A. Mahesh
B
B. Sundar Rajan *
DOI:10.1109/TCOMM.2024.3395332delete
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摘要

摘要

En 中文
This paper studies noisy index coding problems over broadcast channels. The codewords from a chosen binary index code of length N are mapped to a 2(N) -PSK constellation before being transmitted over an AWGN channel. The receivers follow the two-step decoding process of first estimating the PSK symbol using a maximum-likelihood decoder and then performing index code decoding. After estimating the PSK symbol, there is, in general, more than one decoding strategy at a receiver, i.e., more than one linear combination of index-coded bits along with a subset of side information bits, that can be used to estimate the requested message. Thomas et al. in [Single Uniprior Index Coding With Min-Max Probability of Error Over Fading Channels, IEEE Transactions on Vehicular Technology, pp. 6050-6059, July 2017] showed that for binary-modulated index code transmissions, minimizing the number of transmissions used to decode a requested message is equivalent to reducing the probability of error. This paper shows that this is no longer true while employing multi-level modulations. Further, we consider the side information available to each receiver also to be noisy and derive an expression for the probability that a requested message bit is estimated erroneously at a receiver. We also show that the criterion for choosing a decoding strategy that gives the best probability of error performance at a receiver changes with the signal-to-noise ratio at which the side information is broadcast. Hence, for a given index coding problem and a chosen index code, we give an algorithm to select the best decoding strategy for the receivers. The above results are shown to be valid over fading channels also.
Keyword:
Broadcast channels
noisy index coding
side information
Broadcast channels
noisy index coding
side information

期刊

IEEE Transactions on Communications 封面图
IEEE Transactions on Communications
IF:
8.3
论文数:
1.2W
被引数:
3.6W

机构

Q
qualcomm
学者数:
782
论文数: 646
被引数: 1
I
indian institute of science (iisc) - bangalore
学者数:
1.4W
论文数: 1.4W
被引数: 11
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