Symbol-Level Precoding for Low Complexity Transmitter Architectures in Large-Scale Antenna Array Systems

In this paper, we consider three transmitter designs for symbol-level-precoding (SLP), a technique that mitigates multiuser interference (MUI) in multiuser systems by designing the transmitted signals using the channel state information and the information-bearing symbols. The considered systems tac...

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Published in:	IEEE transactions on wireless communications Vol. 18; no. 2; pp. 852 - 863
Main Authors:	Domouchtsidis, Stavros, G. Tsinos, Christos, Chatzinotas, Symeon, Ottersten, Bjorn
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.02.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Antenna arrays antenna selection Antennas Chains Complexity Computer architecture Computer simulation constant envelope precoding Design large-scale antenna array systems Least squares method low complexity/low power transceiver multi-user system Multiuser systems non linear precoding Phase shifters Power consumption Power efficiency Precoding Radio frequency Symbol level precoding Transmitting antennas multi-user system Transmitting antennas Symbol level precoding antenna selection phase shifters Radio frequency large-scale antenna array systems constant envelope precoding Precoding Computer architecture low complexity/low power transceiver non linear precoding Antenna arrays
ISSN:	1536-1276, 1558-2248, 1558-2248
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Abstract	In this paper, we consider three transmitter designs for symbol-level-precoding (SLP), a technique that mitigates multiuser interference (MUI) in multiuser systems by designing the transmitted signals using the channel state information and the information-bearing symbols. The considered systems tackle the high hardware complexity and power consumption of existing SLP techniques by reducing or completely eliminating fully digital radio frequency (RF) chains. The first proposed architecture referred to as, Antenna Selection SLP, minimizes the MUI by activating a subset of the available antennas and thus, reducing the number of required RF chains to the number of active antennas. In the other two architectures, which we refer to as RF domain SLP, the processing happens entirely in the RF domain, thus eliminating the need for multiple fully digital RF chains altogether. Instead, the analog phase shifters directly modulate the signals on the transmit antennas. The precoding design for all the considered cases is formulated as a constrained least squares problem and efficient algorithmic solutions are developed via the Coordinate Descent method. Simulations provide insights into the power efficiency of the proposed schemes and the improvements over the fully digital counterparts.
AbstractList	In this paper, we consider three transmitter designs for symbol-level-precoding (SLP), a technique that mitigates multiuser interference (MUI) in multiuser systems by designing the transmitted signals using the channel state information and the information-bearing symbols. The considered systems tackle the high hardware complexity and power consumption of existing SLP techniques by reducing or completely eliminating fully digital radio frequency (RF) chains. The first proposed architecture referred to as, Antenna Selection SLP, minimizes the MUI by activating a subset of the available antennas and thus, reducing the number of required RF chains to the number of active antennas. In the other two architectures, which we refer to as RF domain SLP, the processing happens entirely in the RF domain, thus eliminating the need for multiple fully digital RF chains altogether. Instead, the analog phase shifters directly modulate the signals on the transmit antennas. The precoding design for all the considered cases is formulated as a constrained least squares problem and efficient algorithmic solutions are developed via the Coordinate Descent method. Simulations provide insights into the power efficiency of the proposed schemes and the improvements over the fully digital counterparts.
Author	Domouchtsidis, Stavros Ottersten, Bjorn G. Tsinos, Christos Chatzinotas, Symeon
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Snippet	In this paper, we consider three transmitter designs for symbol-level-precoding (SLP), a technique that mitigates multiuser interference (MUI) in multiuser...
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SubjectTerms	Antenna arrays antenna selection Antennas Chains Complexity Computer architecture Computer simulation constant envelope precoding Design large-scale antenna array systems Least squares method low complexity/low power transceiver multi-user system Multiuser systems non linear precoding Phase shifters Power consumption Power efficiency Precoding Radio frequency Symbol level precoding Transmitting antennas
Title	Symbol-Level Precoding for Low Complexity Transmitter Architectures in Large-Scale Antenna Array Systems
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