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Symbol-level precoding (SLP) based on the concept of constructive interference (CI) is shown to be superior to traditional block-level precoding (BLP), however at the cost of a symbol-by-symbol optimization during the precoding design. In…

Information Theory · Computer Science 2022-03-24 Ang Li , Chao Shen , Xuewen Liao , Christos Masouros , A. Lee Swindlehurst

The recently emerged symbol-level precoding (SLP) technique has been regarded as a promising solution in multi-user wireless communication systems, since it can convert harmful multi-user interference (MUI) into beneficial signals for…

Information Theory · Computer Science 2021-04-21 Zhu Bo , Rang Liu , Ming Li , Qian Liu

Symbol-level precoding (SLP), which converts the harmful multi-user interference (MUI) into beneficial signals, can significantly improve symbol-error-rate (SER) performance in multi-user communication systems. While enjoying symbolic gain,…

Information Theory · Computer Science 2022-05-03 Zichao Xiao , Rang Liu , Ming Li , Yang Liu , Qian Liu

In this paper, we propose a constructive interference (CI)-based block-level precoding (CI-BLP) approach for the downlink of a multi-user multiple-input single-output (MU-MISO) communication system. Contrary to existing CI precoding…

Information Theory · Computer Science 2024-10-28 Ang Li , Chao Shen , Xuewen Liao , Christos Masouros , A. Lee Swindlehurst

Symbol-level precoding (SLP) manipulates the transmitted signals to accurately exploit the multi-user interference (MUI) in the multi-user downlink. This enables that all the resultant interference contributes to correct detection, which is…

Information Theory · Computer Science 2022-11-29 Junwen Yang , Ang Li , Xuewen Liao , Christos Masouros

In this paper, we propose an interference exploitation symbol-level precoding (SLP) method for multi-level modulations via an in-block power allocation scheme to greatly reduce the signaling overhead. Existing SLP approaches require the…

Information Theory · Computer Science 2021-03-11 Ang Li , Fan Liu , Xuewen Liao , Yuanjun Shen , Christos Masouros

This paper investigates the robust design of symbol-level precoding (SLP) for multiuser multiple-input multiple-output (MIMO) downlink transmission with imperfect channel state information (CSI) caused by channel aging. By utilizing the a…

Signal Processing · Electrical Eng. & Systems 2024-02-08 Yafei Wang , Xinping Yi , Hongwei Hou , Wenjin Wang , Shi Jin

Although symbol-level precoding (SLP) based on constructive interference (CI) exploitation offers performance gains, its high complexity remains a bottleneck. This paper addresses this challenge with an end-to-end deep learning (DL)…

Signal Processing · Electrical Eng. & Systems 2025-10-03 Jinshuo Zhang , Yafei Wang , Xinping Yi , Wenjin Wang , Shi Jin , Symeon Chatzinotas , Björn Ottersten

In this paper, we propose a symbol-level precoding (SLP) design that aims to minimize the weighted mean square error between the received signal and the constellation point located in the constructive interference region (CIR). Unlike most…

Information Theory · Computer Science 2022-10-04 Yafei Wang , Wenjin Wang , Li You , Christos G. Tsinos , Shi Jin

Symbol-level precoding is a new paradigm for multiuser downlink systems which aims at creating constructive interference among the transmitted data streams. This can be enabled by designing the precoded signal of the multiantenna…

Information Theory · Computer Science 2017-04-12 Maha Alodeh , Symeon Chatzinotas , Bjorn Ottersten

This paper investigates symbol-level precoding (SLP) for high-order quadrature amplitude modulation (QAM) aimed at minimizing the average symbol error rate (SER), leveraging both constructive interference (CI) and noise power to gain…

Signal Processing · Electrical Eng. & Systems 2023-10-12 Yafei Wang , Hongwei Hou , Wenjin Wang , Xinping Yi

Symbol Level Precoding (SLP) has attracted significant research interest due to its ability to exploit interference for energy-efficient transmission. This paper proposes an unsupervised deep-neural network (DNN) based SLP framework.…

Signal Processing · Electrical Eng. & Systems 2021-11-17 Abdullahi Mohammad , Christos Masouros , Yiannis Andreopoulos

This paper addresses the problem of exploiting interference among simultaneous multiuser transmissions in the downlink of multiple-antenna systems. Using symbol-level precoding, a new approach towards addressing the multiuser interference…

Information Theory · Computer Science 2016-11-17 Maha Alodeh , Symeon Chatzinotas , Bjorn Ottersten

Interference is traditionally viewed as a performance limiting factor in wireless communication systems, which is to be minimized or mitigated. Nevertheless, a recent line of work has shown that by manipulating the interfering signals such…

This paper addresses the optimization problem of symbol-level precoding (SLP) in the downlink of a multiuser multiple-input multiple-output (MU-MIMO) wireless system while the precoder's output is subject to partially-known distortions. In…

Signal Processing · Electrical Eng. & Systems 2019-09-02 Alireza Haqiqatnejad , Shahram Shahbazpanahi , Björn Ottersten

The constructive interference concept in the downlink of multiple-antenna systems is addressed in this paper. The concept of the joint exploitation of the channel state information (CSI) and data information (DI) is discussed. Using…

Information Theory · Computer Science 2015-04-28 Maha Alodeh , Symeon Chatzinotas , Bjorn Ottersten

Intelligent reflecting surfaces (IRSs) have emerged as a revolutionary solution to enhance wireless communications by changing propagation environment in a cost-effective and hardware-efficient fashion. In addition, symbol-level precoding…

Signal Processing · Electrical Eng. & Systems 2021-03-23 R. Liu , M. Li , Q. Liu , A. L. Swindlehurst

This paper focuses on designing robust symbol-level precoding (SLP) in an overlay cognitive radio (CR) network, where the primary and secondary networks transmit signals concurrently. When the primary base station (PBS) shares data and…

Signal Processing · Electrical Eng. & Systems 2023-04-11 Lu Liu , Christos Masouros , A. Lee Swindlehurst

This paper investigates a joint beamforming design in a multiuser multiple-input single-output (MISO) communication network aided with an intelligent reflecting surface (IRS) panel. The symbol-level precoding (SLP) is adopted to enhance the…

Information Theory · Computer Science 2021-09-01 Guangyang Zhang , Chao Shen , Bo Ai , Zhangdui Zhong

This paper investigates the idea of exploiting interference among the simultaneous multiuser transmissions in the downlink of multiple antennas systems. Using symbol level precoding, a new approach towards addressing the multiuser…

Information Theory · Computer Science 2015-05-11 Maha Alodeh , Symeon Chatzinotas , Bjorn Ottersten
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