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Related papers: Robust Design of Power Minimizing Symbol-Level Pre…

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In this paper, a novel robust beamforming scheme is proposed in three dimensional multi-input multi-output (3D-MIMO) systems. As one of the typical deployments of massive MIMO, a 3D-MIMO system owns sparse channels in angular domain. Thus,…

Signal Processing · Electrical Eng. & Systems 2018-12-19 Kai Liu , Hui Feng , Tao Yang , Bo Hu

Precoding is a critical and long-standing technique in multi-user communication systems. However, the majority of existing precoding methods do not consider channel coding in their designs. In this paper, we consider the precoding problem…

Signal Processing · Electrical Eng. & Systems 2024-10-31 Ly V. Nguyen , Junil Choi , Bjorn Ottersten , A. Lee Swindlehurst

In this paper, we tackle the problem of joint symbol level precoding (SLP) and reconfigurable intelligent surface (RIS) phase shift design with constellation rotation in the finite block length regime. We aim to increase energy efficiency…

Signal-to-leakage-and-noise ratio (SLNR) is a promising criterion for linear precoder design in multi-user (MU) multiple-input multiple-output (MIMO) systems. It decouples the precoder design problem and makes closed-form solution…

Information Theory · Computer Science 2010-08-05 Peng Cheng , Meixia Tao , Wenjun Zhang

Constructive interference (CI) precoding, which converts the harmful multi-user interference into beneficial signals, is a promising and efficient interference management scheme in multi-antenna communication systems. However, CI-based…

Signal Processing · Electrical Eng. & Systems 2024-05-28 Mu Liang , Ang Li , Xiaoyan Hu , 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

In this paper, we propose a novel symbol-level precoding (SLP) method for a multi-user multi-input multi-output (MU-MIMO) downlink Integrated Sensing and Communications (ISAC) system based on faster-than-Nyquist (FTN) signaling. Our method…

Signal Processing · Electrical Eng. & Systems 2023-04-07 Zihan Liao , Fan Liu

This paper considers a $K$-user multiple-input single-output (MISO) interference channels for simultaneous wireless information and power transfer (SWIPT), where each multi-antenna transmitter serves a single-antenna receiver per user pair.…

Information Theory · Computer Science 2017-10-31 Feng Wang , Tao Peng , Yongwei Huang

In this paper, we consider multiuser multiple-input single-output (MISO) interference channel where the received signal is divided into two parts for information decoding and energy harvesting (EH), respectively. The transmit beamforming…

Information Theory · Computer Science 2022-10-17 Ming-Min Zhao , Yunlong Cai , Qingjiang Shi , Benoit Champagne , Min-Jian Zhao

For multiuser MISO systems with bounded uncertainties in the Channel State Information (CSI), we consider two classical robust design problems: maximizing the minimum rate subject to a transmit power constraint, and power minimization under…

Information Theory · Computer Science 2016-01-21 Hamdi Joudeh , Bruno Clerckx

In this paper, we consider massive multiple-input-multiple-output (MIMO) communication systems with a uniform planar array (UPA) at the base station (BS) and investigate the downlink precoding with imperfect channel state information (CSI).…

Information Theory · Computer Science 2020-05-28 Junchao Shi , Wenjin Wang , Xinping Yi , Xiqi Gao , Geoffrey Ye Li

In this paper, the robust distributed relay beamforming problem is solved using the worst case approach, where the problem solution has been involved because of the effect of uncertainty of channel knowledge on the quality of service (QoS)…

Information Theory · Computer Science 2017-03-07 Behrad Mahboobi , Mehrdad Ardebilipour , Ashkan Kalantari , Ehsan Soleimani-Nasab

We propose a data-aided transmit beamforming scheme for the multi-user multiple-input-single-output (MISO) downlink channel. While conventional beamforming schemes aim at the minimization of the transmit power subject to suppressing…

Information Theory · Computer Science 2023-07-19 C. Masouros , G. Zheng

This paper considers the design of the beamformers for a multiple-input single-output (MISO) downlink system that seeks to mitigate the impact of the imperfections in the channel state information (CSI) that is available at the base station…

Information Theory · Computer Science 2018-02-14 Mostafa Medra , Timothy N. Davidson

In this letter, we propose a robust beamforming design for non-orthogonal multiple access (NOMA) based multiple-input single-output (MISO) downlink systems. In particular, the robust power minimization problem is studied with imperfect…

Information Theory · Computer Science 2017-08-29 Faezeh Alavi , Kanapathippillai Cumanan , Zhiguo Ding , Alister G. Burr

We consider a downlink multiuser MISO system with bounded errors in the Channel State Information at the Transmitter (CSIT). We first look at the robust design problem of achieving max-min fairness amongst users (in the worst-case sense).…

Information Theory · Computer Science 2016-11-03 Hamdi Joudeh , Bruno Clerckx

This paper investigates the optimization of the long-standing probabilistically robust transmit beamforming problem with channel uncertainties in the multiuser multiple-input single-output (MISO) downlink transmission. This problem poses…

Information Theory · Computer Science 2024-06-06 Kai Liang , Gan Zheng , Zan Li , Kai-Kit Wong , Chan-Byoung Chae

We consider the downlink scenario of multiuser multiple-input-single-output (MU-MISO) communication systems with constant envelope (CE) signals emitted from each antenna. This results in energy efficient power amplifiers (PAs). We propose a…

Information Theory · Computer Science 2017-06-28 Andreas Noll , Hela Jedda , Josef A. Nossek

Massive MIMO is seen as a main enabler for low latency communications, thanks to its high spatial degrees of freedom. The channel hardening and favorable propagation properties of Massive MIMO are particularly important for multiplexing…

Information Theory · Computer Science 2020-07-10 Alexandru-Sabin Bana , Luca Sanguinetti , Elisabeth De Carvalho , Petar Popovski

This article is on the energy efficient precoder design in multi-user multiple-input-multiple-output (MU-MIMO) systems which is also robust with respect to the imperfect channel state information (CSI) at the transmitters. In other words,…

Information Theory · Computer Science 2018-11-16 Hossein Vaezy , Mohammad Javad Omidi , Halim Yanikomeroglu