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Symbol-Level Multiuser MISO Precoding for Multi-Level Adaptive Modulation
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering. KTH, School of Electrical Engineering (EES), Signal Processing. (Signal Processing)
2017 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 16, no 8, p. 5511-5524Article in journal (Refereed) Published
Abstract [en]

Symbol-level precoding is a new paradigm for multiuser multiple-antenna downlink systems aimed at creating constructive interference among transmitted data streams. This can be enabled by designing the precoded signal of the multiantenna transmitter on a symbol level, taking into account both channel state information and data symbols. Previous literature has studied this paradigm for Mary phase shift keying modulations by addressing various performance metrics, such as power minimization and maximization of the minimum rate. In this paper, we extend this to generic multi-level modulations, i.e., Mary quadrature amplitude modulation by establishing connection to PHY layer multicasting with phase constraints. Furthermore, we address the adaptive modulation schemes which are crucial in enabling the throughput scaling of symbol-level precoded systems. In this direction, we design the signal processing algorithms for minimizing the required power under per-user signal to interference noise ratio or goodput constraints. Extensive numerical results show that the proposed algorithm provides considerable power and energy efficiency gains, while adapting the employed modulation scheme to match the requested data rate.

Place, publisher, year, edition, pages
2017. Vol. 16, no 8, p. 5511-5524
Keywords [en]
Downlink;Estimation;Interference;Modulation;Precoding;Signal to noise ratio;Transmitters;MQAM;Symbol-level precoding;constructive interference;multi-level modulation;multiuser MISO channel
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-258986DOI: 10.1109/TWC.2017.2712604ISI: 000407726200047Scopus ID: 2-s2.0-85029606777OAI: oai:DiVA.org:kth-258986DiVA, id: diva2:1350473
Available from: 2019-09-11 Created: 2019-09-11 Last updated: 2019-09-27Bibliographically approved

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