| NSF Org: |
ECCS Division of Electrical, Communications and Cyber Systems |
| Recipient: |
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| Initial Amendment Date: | June 12, 2017 |
| Latest Amendment Date: | June 12, 2017 |
| Award Number: | 1711689 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Lawrence Goldberg
ECCS Division of Electrical, Communications and Cyber Systems ENG Directorate for Engineering |
| Start Date: | September 1, 2017 |
| End Date: | August 31, 2021 (Estimated) |
| Total Intended Award Amount: | $330,000.00 |
| Total Awarded Amount to Date: | $330,000.00 |
| Funds Obligated to Date: |
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| History of Investigator: |
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| Recipient Sponsored Research Office: |
800 WEST CAMPBELL RD. RICHARDSON TX US 75080-3021 (972)883-2313 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
TX US 75080-3021 |
| Primary Place of
Performance Congressional District: |
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| Unique Entity Identifier (UEI): |
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| Parent UEI: |
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| NSF Program(s): | CCSS-Comms Circuits & Sens Sys |
| Primary Program Source: |
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| Program Reference Code(s): |
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| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.041 |
ABSTRACT
Network information theory in the last decade has made strides in characterizing or approximating the fundamental limits of communication in networks. At the same time, in the physical layer, developments such as coordinated multipoint (CoMP) or Cloud Radio Networks (Cloud-RAN) demonstrate an evolution toward multi-node building blocks. Even so, tools and techniques of information theory have yet to be fully and gainfully translated to practical coding and modulation techniques for many multi-node scenarios.
This project is informed in part by recent developments in information theory indicating that a multi-level approximation to the physical channel has a capacity that is within a small SNR-independent gap to the capacity of the physical channel. Supported by preliminary results, this research is based on the hypothesis that a similar multi-level decomposition is a sound and fruitful approach for the design of high-performance coded modulations for multi-terminal networks. Research tasks investigate the proposed methodology to produce efficient coded modulation architectures for a variety of multi-terminal networks.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
Physical layer building blocks are becoming progressively more sophisticated, aiming to capitalize on the techniques and gains revealed by information theory. Among others, recent attention to Non-Orthogonal Multiple-Access (NOMA) has renewed, rebranded, and popularized information theory principles discovered in the 1970s. These principles, e.g., superposition coding, promise significant gains in certain multi-user scenarios. Prior to this project, however, constellation-constrained coded modulation for these multi-user transmission techniques lacked the maturity of point-to-point coded modulation. This project has produced coded modulation design principles for implementing network information theoretic ideas, utilizing various classes of binary error-control codes, such as LDPC and Polar codes.
Conventional additive superposition of coded modulations produces signals whose set size grows exponentially with the number of users. This project produced coded modulations with a pre-defined constellation and a fixed cardinality. For example, superposition broadcast is constructed while being constrained to, e.g., M-QAM. This facilitates the efficient calculation of multi-user log-likelihood ratios (LLRs) at the receiver and allows better power amplifier optimization at the transmitter. Coded modulation under fixed constellations is achieved through a multi-level construction; the components of a superposition signal are encoded with binary error control codes and combined in a prescribed manner into the various levels of the multi-level signal construction.
Manifestations of this design principle were studied with LDPC codes in the broadcast and decode-forward relay channel, as well as with polar coding in decode-forward, amplify-forward, and compress-forward relay channel. In the short block length regime, our results improved by as much as 2.5dB the best reported coded modulation for the relay channel. For amplify-forward and compress-forward, this project produced the first known coded modulation results at block lengths 128 and 256.
Last Modified: 01/15/2022
Modified by: Aria Nosratinia
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