Efficient Single-Group Multicast Beamforming: A Determinantal Point Process Approach
Author:
Affiliation:
1. School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University,Shanghai,China,200240
2. Shanghai Institute of Satellite Engineering,Shanghai,China,201109
Funder
National Key Re-search and Development Program of China
Natural Science Foundation (NSF) of China
Natural Science Foundation of Shanghai
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9784422/9784599/09784753.pdf?arnumber=9784753
Reference19 articles.
1. Multiple-Antenna Multicasting Using Channel Orthogonalization and Local Refinement
2. Optimal and Successive Approaches to Signal Design for Multiple Antenna Physical Layer Multicasting
3. Machine learning meets stochastic geome-try: Determinantal subset selection for wireless networks;saha;Proc IEEE Globecom,2019
4. Creating Capsule Wardrobes from Fashion Images
5. GDPP: Learning diverse generations using determinantal point processes;elfeki;Proc ICML,2019
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