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Channel-aware energy allocation for throughput maximization in massive low-rate multiple access

Author
F. Molina; Sala, J.; Rey, F.; Villares, J.
Type of activity
Presentation of work at congresses
Name of edition
2019 IEEE International Conference on Communications
Date of publication
2019
Presentation's date
2019-05-22
Book of congress proceedings
ICC 2019: 2019 IEEE International Conference on Communications (ICC 2019): Shanghai, China: 20-24 May 2019
First page
1
Last page
6
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
10.1109/ICC.2019.8761084
Project funding
Grup de processament del senyal i comunicacions
Wrestling with Interference in Communications and Information Processing (TEC2016-76409-C2-1-R)
Repository
http://hdl.handle.net/2117/172073 Open in new window
URL
https://ieeexplore.ieee.org/document/8761084 Open in new window
Abstract
A multiple access (MA) optimization technique for massive low-rate direct-sequence spread spectrum communications is analyzed in this work. A dense network of users transmitting at the same rate to a common central node under channelaware energy allocation is evaluated. At reception, successive interference cancellation (SIC) aided by channel decoding is adopted. Our contribution focuses on wireless scenarios involving a vast number of users for which the provided user-asymptotic model holds. Va...
Citation
F. Molina [et al.]. Channel-aware energy allocation for throughput maximization in massive low-rate multiple access. A: IEEE International Conference on Communications. "ICC 2019: 2019 IEEE International Conference on Communications (ICC 2019): Shanghai, China: 20-24 May 2019". Institute of Electrical and Electronics Engineers (IEEE), 2019, p. 1-6.
Keywords
Low-rate communications, Massive multiple access, Packet error rate, Successive interference cancellation
Group of research
SPCOM - Signal Processing and Communications Group

Participants

Attachments