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Consider the single-group multicast beamforming problem, where multiple users receive the same data stream simultaneously from a single transmitter. The problem is NP-hard and all existing algorithms for the problem either find suboptimal…

Information Theory · Computer Science 2017-06-07 Cheng Lu , Ya-Feng Liu

A common approach to obtain channel state information for massive MIMO networks is to use the same orthogonal training sequences in each cell. We call this the full-pilot reuse (FPR) scheme. In this paper, we study an alternative approach…

Information Theory · Computer Science 2017-09-12 Rusdha Muharar , Jamie Evans

Transmit beamforming is a versatile technique for signal transmission from an array of $N$ antennas to one or multiple users [1]. In wireless communications, the goal is to increase the signal power at the intended user and reduce…

Information Theory · Computer Science 2014-07-22 Emil Björnson , Mats Bengtsson , Björn Ottersten

Communication in high frequencies such as millimeter wave and terahertz suffer from high path-loss and intense shadowing which necessitates beamforming for reliable data transmission. On the other hand, at high frequencies the channels are…

Machine Learning · Computer Science 2021-02-23 Abbas Khalili , Sundeep Rangan , Elza Erkip

This paper investigates the performance of optimal single stream beamforming schemes in multiple-input multiple-output (MIMO) dual-hop amplify-and-forward (AF) systems. Assuming channel state information is not available at the source and…

Information Theory · Computer Science 2016-11-17 Caijun Zhong , Tharm Ratnarajah , Shi Jin , Kai Kit Wong

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

Massive MIMO is widely considered as a key enabler of the next generation 5G networks. With a large number of antennas at the Base Station, both spectral and energy efficiencies can be enhanced. Unfortunately, the downlink channel…

Information Theory · Computer Science 2019-08-14 Ali Maatouk , Salah Eddine Hajri , Mohamad Assaad , Hikmet Sari

This paper investigates radar-assisted user acquisition for downlink multi-user multiple-input multiple-output (MIMO) transmission using Orthogonal Frequency Division Multiplexing (OFDM) signals. Specifically, we formulate a concise…

Information Theory · Computer Science 2024-07-02 Yi Song , Fernando Pedraza , Shuangyang Li , Siyao Li , Han Yu , Giuseppe Caire

We investigate the MIMO broadcast channel in the high SNR regime when linear filtering is applied instead of dirty paper coding. Using a user-wise rate duality where the streams of every single user are not treated as self-interference as…

Information Theory · Computer Science 2008-07-18 Raphael Hunger , Michael Joham

We analyze a MISO downlink channel where a multi-antenna transmitter communicates with a large number of single-antenna receivers. Using linear beamforming or nonlinear precoding techniques, the transmitter can serve multiple users…

Information Theory · Computer Science 2018-05-07 Sebastian Schiessl , James Gross , Giuseppe Caire

We consider $K$ links operating concurrently in the same spectral band. Each transmitter has multiple antennas, while each receiver uses a single antenna. This setting corresponds to the multiple-input single-output interference channel. We…

Information Theory · Computer Science 2012-03-23 Rami Mochaourab , Eduard A. Jorswieck

In this paper, we develop various beamforming techniques for downlink transmission for multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) systems. First, a beamforming approach with perfect channel state information…

Information Theory · Computer Science 2018-07-10 Faezeh Alavi , Kanapathippillai Cumanan , Zhiguo Ding , Alister G. Burr

This paper studies the structure of downlink sum-rate maximizing selective decentralized feedback policies for opportunistic beamforming under finite feedback constraints on the average number of mobile users feeding back. Firstly, it is…

Information Theory · Computer Science 2011-07-26 Tharaka Samarasinghe , Hazer Inaltekin , Jamie S. Evans

This paper considers coordinated multicast beamforming in a multi-cell wireless network. Each multiantenna base station (BS) serves multiple groups of single antenna users by generating a single beam with common data per group. The aim is…

Information Theory · Computer Science 2016-11-17 Harri Pennanen , Dimitrios Christopoulos , Symeon Chatzinotas , Björn Ottersten

In this letter, we consider optimal hybrid beamforming design to minimize the transmission power under individual signal-to-interference-plus-noise ratio (SINR) constraints in a multiuser massive multiple-input-multiple-output (MIMO)…

Signal Processing · Electrical Eng. & Systems 2018-11-27 Guangda Zang , Ying Cui , Hei Victor Cheng , Feng Yang , Lianghui Ding , Hui Liu

Optimizing the sum-log-utility for the downlink of multi-frequency band, multiuser, multiantenna networks requires joint solutions to the associated beamforming and user scheduling problems through the use of cloud radio access network…

Information Theory · Computer Science 2020-06-24 Ahmad Ali Khan , Raviraj Adve , Wei Yu

This paper proposes optimal beam patterns of analog beamforming for SU (Single User) massive MIMO (Multi-Input Multi-Output) transmission systems. For hybrid beamforming in SU massive MIMO systems, there are several design parameters such…

Information Theory · Computer Science 2018-12-17 Maki Arai , Kei Sakaguchi , Kiyomichi Araki

In this paper, we consider the design of a multiple-input multiple-output (MIMO) transmitter which simultaneously functions as a MIMO radar and a base station for downlink multiuser communications. In addition to a power constraint, we…

Signal Processing · Electrical Eng. & Systems 2021-09-07 Xiang Liu , Tianyao Huang , Yimin Liu

We analyze a slow-fading interference network with MN non-cooperating single-antenna sources and M non-cooperating single-antenna destinations. In particular, we assume that the sources are divided into M mutually exclusive groups of N…

Information Theory · Computer Science 2007-10-09 J. Thukral , H. Bölcskei

Recently, robust transmit beamforming has drawn considerable attention because it can provide guaranteed receiver performance in the presence of channel state information (CSI) errors. Assuming complex Gaussian distributed CSI errors, this…

Information Theory · Computer Science 2010-11-11 Kun-Yu Wang , Tsung-Hui Chang , Wing-Kin Ma , Anthony Man-Cho So , Chong-Yung Chi