Low Complexity Implementation of Symbol-level Precoding in Multi-user MISO System

In this paper, we consider the minimum mean square error-based constructive interference optimization (MMSE-CIO) problems to ensure the minimum required constructive interference gain under a fixed total-power constraint, which involves critical implementation issues regarding the computational comp...

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Veröffentlicht in:IEEE Consumer Communications and Networking Conference S. 1042 - 1047
Hauptverfasser: Lee, Jaewon, Kang, Chung G.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 08.01.2023
Schlagworte:
Array signal processing
Computational complexity
constructive interference gain
constructive interference optimization(CIO)
hybrid beamforming
Interference
minimum mean square error (MMSE)
Modulation
Performance gain
Phase shift keying
Precoding
symbol-level precoding(SLP)
ISSN:2331-9860
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Zusammenfassung:In this paper, we consider the minimum mean square error-based constructive interference optimization (MMSE-CIO) problems to ensure the minimum required constructive interference gain under a fixed total-power constraint, which involves critical implementation issues regarding the computational complexity. The optimum solution is derived in a closed form for a digital precoder subject to a fixed analog beam, serving as a key implementation block to reduce the computational complexity in the proposed hybrid beamforming under a more complexity situation in which the different types of modulation schemes are mixed. We also show that MMSE-CIO can achieve a significant performance gain with the advantages of link adaptation over legacy CIO scheme in nonhomogeneous scenario.
ISSN:2331-9860
DOI:10.1109/CCNC51644.2023.10060084