Spectrum Usage Analysis And Prediction using Long Short-Term Memory Networks

Author:

Ghosh Anneswa1ORCID,Kasera Sneha2ORCID,Van Der Merwe Jacobus2ORCID

Affiliation:

1. Microsoft Corporation, United States

2. University of Utah, United States

Funder

National Science Foundation

Publisher

ACM

Reference23 articles.

1. Chicago spectrum occupancy measurements & analysis and a long-term studies proposal

2. [ 2 ] F. H. Sanders , “ Broadband Spectrum Survey at San Francisco, California, May-June,” US Dept. of Commerce , Nat. Telecommun. and Inf. , 1995 . [2] F. H. Sanders et al., “Broadband Spectrum Survey at San Francisco, California, May-June,” US Dept. of Commerce, Nat. Telecommun. and Inf., 1995.

3. [ 3 ] F. H. Sanders and V. S. Lawrence , “ Broadband spectrum survey at Denver, Colorado,” US Dept. of Commerce , Nat. Telecommun. and Inf. , 1995 . [3] F. H. Sanders and V. S. Lawrence, “Broadband spectrum survey at Denver, Colorado,” US Dept. of Commerce, Nat. Telecommun. and Inf., 1995.

4. Broadband spectrum surveys in Denver, CO, San Diego, CA, and Los Angeles, CA: methodology, analysis, and comparative results

5. [ 5 ] M. H. Islam , “ Spectrum Survey in Singapore : Occupancy Measurements and Analyses,” in IEEE CrownCom , 2008 . [5] M. H. Islam et al., “Spectrum Survey in Singapore: Occupancy Measurements and Analyses,” in IEEE CrownCom, 2008.

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