NDLI: Information Theoretic Foundations of Adaptive Coded Modulation

Content Provider	IEEE Xplore Digital Library
Author	Caire, G. Kumar, K.R.
Copyright Year	1963
Abstract	In wireless/mobile communications, terminals adapt their rate and transmit power or, more in general, their coding and modulation scheme, depending on the time-varying channel conditions. This paper presents, in a tutorial form, the information theoretic framework underlying such ldquoadaptive modulationrdquo techniques. First, we review fading channel models, channel state information assumptions, and related capacity results. Then, we treat the case of input power constraint, where the optimal input distribution is Gaussian. Finally, we address the case of discrete modulations. In order to treat the latter, we make use of the recently developed method of ldquomercury-waterfillingrdquo, based on the relationship between mutual information and minimum mean-square error (MMSE) estimation of the channel input from the channel output. While the traditional design of adaptive modulation schemes based on uncoded bit-error rate (BER) involves the optimization over a discrete set of signal constellations, when powerful (i.e., capacity approaching) coding schemes are used the corresponding adaptive coded modulation design becomes surprisingly simple. The regime of very powerful coding is justified by the use of modern coding schemes, such as turbo codes and low-density parity-check codes, able to perform close to channel capacity at very small BER.
Sponsorship	IEEE Publication
Starting Page	2274
Ending Page	2298
Page Count	25
File Size	1766891
File Format	PDF
ISSN	00189219
Volume Number	95
Issue Number	12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Modulation coding Bit error rate Signal design Wireless communication Mobile communication Time-varying channels Fading Channel state information Mutual information Estimation error information theory Adaptive transmission schemes channel state information coded modulation fading channels
Content Type	Text
Resource Type	Article
Subject	Computer Science Electrical and Electronic Engineering

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