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Symbol-Level and Multicast Precoding for Multiuser Multiantenna Downlink: A State-of-the-Art, Classification, and Challenges
Univ Luxembourg, Luxembourg.
Univ Luxembourg, Luxembourg.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering. Univ Luxembourg, Luxembourg.
Univ Luxembourg, Luxembourg.
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2018 (English)In: IEEE Communications Surveys and Tutorials, ISSN 1553-877X, E-ISSN 1553-877X, Vol. 20, no 3, p. 1733-1757Article in journal (Refereed) Published
Abstract [en]

Precoding has been conventionally considered as an effective means of mitigating or exploiting the interference in the multiantenna downlink channel, where multiple users are simultaneously served with independent information over the same channel resources. The early works in this area were focused on transmitting an individual information stream to each user by constructing weighted linear combinations of symbol blocks (codewords). However, more recent works have moved beyond this traditional view by: 1) transmitting distinct data streams to groups of users and 2) applying precoding on a symbol-persymbol basis. In this context, the current survey presents a unified view and classification of precoding techniques with respect to two main axes: 1) the switching rate of the precoding weights, leading to the classes of block-level and symbol-level precoding and 2) the number of users that each stream is addressed to, hence unicast, multicast, and broadcast precoding. Furthermore, the classified techniques are compared through representative numerical results to demonstrate their relative performance and uncover fundamental insights. Finally, a list of open theoretical problems and practical challenges are presented to inspire further research in this area.(1)

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2018. Vol. 20, no 3, p. 1733-1757
Keywords [en]
Directional modulation; multiuser MISO; symbol-level precoding; block-level precoding; channel state information; broadcast; unicast; multicast
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-151533DOI: 10.1109/COMST.2018.2837001ISI: 000443030500006OAI: oai:DiVA.org:liu-151533DiVA, id: diva2:1250584
Note

Funding Agencies|Fond National de la Recherche Luxembourg through Satellite Sensor Networks for Spectrum Monitoring Project; Spectrum Management and Interference Mitigation in Cognitive Hybrid Satellite Network Project; Energy and Complexity Efficient Millimeter-wave Large-Array Communications Project; Broadband/Broadcast Convergence through Intelligent Caching in 5G Satellite Networks [10079323]; H2020 Project Shared Access Terrestrial-Satellite Backhaul Network enabled by Smart Antennas

Available from: 2018-09-24 Created: 2018-09-24 Last updated: 2018-09-24

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  • apa
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