The DOI matches its Crossref record, with a small difference in title or year.
Joint source/channel coding for wireless channels
Abstract
Shannon's (1948) fundamental theorem showing that source coding and channel coding can be separated without any loss of optimality does not apply to general time-varying channels. Since the distortion by the source encoder decreases with the data rate, while the channel errors increase with the data rate, the joint source/channel coding problem reduces to allocating bits in an optimal way between the source and channel encoders as the source and channel vary. The author introduces two additional degrees of freedom by allowing both the transmit power and the data rate to vary, subject to an average power constraint. Under these varying power and rate conditions, he first obtains an expression to minimize the end-to-end distortion of general joint source/channel codes for fading channels. He then proposes an adaptive joint source/channel coded modulation technique. The channel code adapts both the transmission rate and power using variable-rate coded MQAM (on a Rayleigh fading channel). He analytically derives the minimum end-to-end distortion of our joint coding scheme. The solution cannot be obtained in closed form, and therefore requires computer search methods. He also obtains a simple upper bound on the distortion by holding the channel error rate constant. Numerical results for this distortion upper bound as a function of the channel coding gain and error rate are obtained. The optimal power control which achieve this bound is also determined.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“For example, the separation of source and channel coding for many practical channels and short block lengths (see [10] and references therein) as well as separate coding and modulation [11] are known to be sub-optimal.”
From An Introduction to Deep Learning for the Physical Layer (2017) · cites this paper as [10]
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 12
- 10.1109/TIT.1987.1057376 · DOI
- 10.1109/78.91143 · DOI
- jayant, 1984, Digital Coding of Waveforms Principles and Applications to Speech and Video
- 10.1109/CTMC.1994.512602 · DOI
- 10.1002/j.1538-7305.1948.tb01338.x · DOI · Paper page
- goldsmith, 1994, Design and performance of high-speed communication systems over time-varying radio channels
- spilker, 1977, Digital Communications by Satellite
- viterbi, 1979, Principles of Digital Communications and Coding
- 10.1109/18.144704 · DOI
- 10.1109/TIT.1987.1057373 · DOI
- khansari, 1994, Time-varying channels with side information and separation principle
- vcmbu, 1995, The source-channel separation theorem revisited, IEEE Trans Inform Theory, it 41, 44
Cited by
Sorted by citations
An Introduction to Deep Learning for the Physical Layer
O'Shea, T., & Hoydis, J. (2017) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2017.2758370 · Cited by 2,980
Metadata
- Authors
- Goldsmith, A.
- Affiliations
- California Institute of Technology (US)
- Corresponding author
- Goldsmith, A.
- ORCID
- Goldsmith, A.
- Venue
- 1995 IEEE 45th Vehicular Technology Conference. Countdown to the Wireless Twenty-First Century
- Publisher
- IEEE
- Published
- 2002-11-19
- Volume
- 2
- Pages
- 614-618
- ISSN
- 1090-3038 (ISSN-L)
- OpenAlex
- W1952867853
- Cited by
- 37
- References
- 0
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 4 · 2022: 1 · 2021: 1 · 2020: 5 · 2019: 2 · 2018: 3 · 2017: 1 · 2014: 1
- FWCI
- 2.25
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE Vehicular Technology Conference (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Communication Techniques
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Network Optimization
- Physical Sciences › Computer Science › Computer Networks and Communications › Error Correcting Code Techniques
- Keywords
- joint source-channel coding, fading channels, Rayleigh fading, adaptive modulation and coding, transmission power control, rate adaptation, time-varying channels
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Joint source/channel coding for wireless channels. https://app.cochat.ai/papers/10.1109/vetec.1995.504941
- The paper
- Goldsmith, A. (2002). Joint source/channel coding for wireless channels. 1995 IEEE 45th Vehicular Technology Conference. Countdown to the Wireless Twenty-First Century. https://doi.org/10.1109/vetec.1995.504941