Optimum Boundaries of Signal-to-Noise Ratio for Adaptive Code Modulations
Abstract
Program Officer’s Name: Steven A. Lane Program Officer’s Department: Air Force Research Laboratory PROJECT SUMMARY Future wireless communications must be significantly enhanced to meet the expected consumer need in the 2020–25 timeframe. A key element for such enhancement is to employ adaptive code modulation (ACM). When channel conditions are better (e.g., signal-to-noise power spectral density ratio (SNR) is high), it is desirable to use a higher modulation and a higher rate error correction code to increase the throughputs. On the other hand, when channel conditions become worse, then a lower modulation and a lower rate code is desirable. Otherwise the data needs to be retransmitted due to the higher symbol errors and more frequent no acknowledgements (NACK) feedback from the receiver. The key strategies for this research are as follows: (a) Investigate the optimal decision boundaries of the received SNR for an optimal ACM selection out of multiple available candidates to maximize the bandwidth efficiency; (b) Prove the proposed concept through simulation; and (c) Evaluate the merits and disadvantages of the proposed strategy by doing the following: (1) comparing the bit error rate (BER) and bandwidth efficiency performance in bits per second per hertz of the proposed ACM scheme with those of the existing non-adaptive schemes in the presence of partial band tone jamming (PBTJ) and Rician fading (2) computing the computational complexities, and (3) addressing feasibility and compatibility of the proposed scheme with existing schemes. Although this project focuses only on fundamental and theoretical technology studies, the results would provide many benefits to the public who are using mobile communications and satellite communications devices. These benefits would include longer battery life, higher quality-of-service, higher data throughput, and lower cost. This proposed research effort would support technology that is applicable to the commercial communications, including satellite communications.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 19, 2016
- Source ID
- FA94531610049
Entities
People
- Hyuck Kwon
Organizations
- Air Force Research Laboratory
- United States Air Force
- Wichita State University