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Minimum PER user-energy profile for massive SIC receivers under an average energy constraint

Author
Sala, J.; Rey, F.; Villares, J.; F. Molina
Type of activity
Presentation of work at congresses
Name of edition
18th International Workshop on Signal Processing Advances in Wireless Communications
Date of publication
2017
Presentation's date
2017-07
Book of congress proceedings
The 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications took place during 3-6 July 2017 in Sapporo, Japan
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/SPAWC.2017.8227774 Open in new window
Project funding
Communications and Signal Processing in Adverse Scenarios - 1
Repository
http://hdl.handle.net/2117/113273 Open in new window
URL
http://ieeexplore.ieee.org/document/8227774/ Open in new window
Abstract
Interference may pose a severe limitation to massive wireless multiple access unless the central receiver is endowed with strong multipacket reception capabilities. In that respect, Interference Cancellation (IC) has been extensively studied [1]–[3]. Such systems have been proposed for satellite communications, combining Direct Sequence (DS) Code Division Multiple Access (CDMA) with a SIC receiver [4]–[6] or using multipacket transmission as in Contention Resolution Diversity Slotted ALOHA (...
Citation
Sala, J., Rey, F., Villares, J., Molina, F. Minimum PER user-energy profile for massive SIC receivers under an average energy constraint. A: IEEE International Workshop on Signal Processing Advances in Wireless Communications. "The 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications took place during 3-6 July 2017 in Sapporo, Japan". Sapporo: Institute of Electrical and Electronics Engineers (IEEE), 2017.
Keywords
Decoding, Interference, Multiple access, Packet error rate, Receivers, Satellite, Satellites, Signal to noise ratio, Successive interference cancellation, Uplink, Variational calculus
Group of research
SPCOM - Signal Processing and Communications Group

Participants