Symbol-Level and Multicast Precoding for Multiuser Multiantenna Downlink: A State-of-the-Art, Classification, and Challenges Visa övriga samt affilieringar
2018 (Engelska) Ingår i: IEEE Communications Surveys and Tutorials, E-ISSN 1553-877X, Vol. 20, nr 3, s. 1733-1757Artikel i tidskrift (Refereegranskat) 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)
Ort, förlag, år, upplaga, sidor IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2018. Vol. 20, nr 3, s. 1733-1757
Nyckelord [en]
Directional modulation; multiuser MISO; symbol-level precoding; block-level precoding; channel state information; broadcast; unicast; multicast
Nationell ämneskategori
Kommunikationssystem
Identifikatorer URN: urn:nbn:se:liu:diva-151533 DOI: 10.1109/COMST.2018.2837001 ISI: 000443030500006 OAI: oai:DiVA.org:liu-151533 DiVA, id: diva2:1250584
Anmärkning 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
2018-09-242018-09-242024-02-27