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The high energy consumption of massive multi-input multi-out (MIMO) system has become a prominent problem in the millimeter wave(mm-Wave) communication scenario. The hybrid precoding technology greatly reduces the number of radio…

Signal Processing · Electrical Eng. & Systems 2019-08-02 Kai Chen , Jing Yang , Xiaohu Ge , Yonghui Li

In cell-free massive MIMO systems with multiple distributed access points (APs) serving multiple users over the same time-frequency resources, downlink beamforming is done through spatial precoding. Precoding vectors can be optimally…

Systems and Control · Electrical Eng. & Systems 2025-04-08 Mehdi Zafari , Divyanshu Pandey , Rahman Doost-Mohammady , César A. Uribe

In the cell-free massive multiple-input multiple-output (CF mMIMO) system, the centralized transmission scheme is widely adopted to manage the inter-user interference. Unfortunately, its implementation is limited by the extensive signaling…

Signal Processing · Electrical Eng. & Systems 2022-08-02 Hongkang Yu , Xinquan Ye , Yijian Chen

We consider the downlink of a single-cell multi-user MIMO system in which the base station makes use of $N$ antennas to communicate with $K$ single-antenna user equipments (UEs) randomly positioned in the coverage area. In particular, we…

Information Theory · Computer Science 2016-11-17 Luca Sanguinetti , Emil Bjornson , Merouane Debbah , Aris Moustakas

This paper compares centralized and distributed methods to solve the power minimization problem with quality-of-service (QoS) constraints in the downlink (DL) of multi-cell Massive multiple-input multiple-output (MIMO) systems. In…

Information Theory · Computer Science 2018-02-21 Trinh Van Chien , Emil Björnson , Erik G. Larsson , Tuan Anh Le

Non-cooperative cellular massive MIMO, combined with power control, is known to lead to significant improvements in per-user throughput compared with conventional LTE technology. In this paper, we investigate further refinements to massive…

Information Theory · Computer Science 2021-04-23 Shahram Shahsavari , Mehrdad Nosrati , Parisa Hassanzadeh , Alexei Ashikhmin , Thomas L. Marzetta , Elza Erkip

A cellular multiple-input multiple-output (MIMO) downlink system is studied in which each base station (BS) transmits to some of the users, so that each user receives its intended signal from a subset of the BSs. This scenario is referred…

Information Theory · Computer Science 2013-02-12 Saeed Kaviani , Osvaldo Simeone , Witold A Krzymień , Shlomo Shamai

We consider a multigroup multicast cell-free multiple-input multiple-output (MIMO) downlink system with short-term power constraints. In particular, the normalized conjugate beamforming scheme is adopted at each access point (AP) to keep…

Signal Processing · Electrical Eng. & Systems 2022-01-14 Muhammad Farooq , Markku Juntti , Le-Nam Tran

We consider a downlink multiuser massive MIMO system comprising multiple heterogeneous base stations with hybrid precoding architectures. To enhance the energy efficiency of the network, we propose a novel coordinated hybrid precoding…

Signal Processing · Electrical Eng. & Systems 2019-08-12 Ganapati Hegde , Christos Masouros , Marius Pesavento

Precoding with block diagonalization is an attractive scheme for approaching sum capacity in multiuser multiple input multiple output (MIMO) broadcast channels. This method requires either global channel state information at every receiver…

Information Theory · Computer Science 2007-07-13 Seijoon Shim , Chan-Byoung Chae , Robert W. Heath

Sharing global channel information at base stations (BSs) is commonly assumed for downlink multi-cell precoding. In the context of massive multi-input multi-output (MIMO) systems where each BS is equipped with a large number of antennas,…

Information Theory · Computer Science 2014-11-18 Liangbin Li , Alexei Ashikhmin , Thomas Marzetta

We propose a downlink beamforming scheme that combines spatial division and orthogonal space-time block coding (OSTBC) in multi-user massive MIMO systems. The beamformer is divided into two parts: a pre-beamforming matrix to separate the…

Information Theory · Computer Science 2018-09-12 Ke-Wen Huang , Hui-Ming Wang , Jia Hou , Shi Jin

In this paper, we consider massive multiple-input multiple-output (MIMO) systems for both downlink and uplink scenarios, where three radio units (RUs) connected via one digital unit (DU) support multiple user equipments (UEs) at the…

Information Theory · Computer Science 2016-11-17 Yeon-Geun Lim , Chan-Byoung Chae , Giuseppe Caire

Block diagonalization is a linear precoding technique for the multiple antenna broadcast (downlink) channel that involves transmission of multiple data streams to each receiver such that no multi-user interference is experienced at any of…

Information Theory · Computer Science 2007-07-16 Niranjay Ravindran , Nihar Jindal

Cell-free Massive multiple-input multiple-output (MIMO) ensures ubiquitous communication at high spectral efficiency (SE) thanks to increased macro-diversity as compared cellular communications. However, system scalability and performance…

Information Theory · Computer Science 2019-09-09 Giovanni Interdonato , Marcus Karlsson , Emil Björnson , Erik G. Larsson

We present a mathematical analysis of linear precoders for downlink massive MIMO multiuser systems that employ one-bit digital-to-analog converters at the basestation in order to reduce complexity and mitigate power usage. The analysis is…

Information Theory · Computer Science 2016-10-24 Amodh Kant Saxena , Inbar Fijalkow , A. Lee Swindlehurst

Modern wireless cellular networks use massive multiple-input multiple-output (MIMO) technology. This technology involves operations with an antenna array at a base station that simultaneously serves multiple mobile devices which also use…

Information Theory · Computer Science 2023-07-26 Evgeny Bobrov , Boris Chinyaev , Viktor Kuznetsov , Hao Lu , Dmitrii Minenkov , Sergey Troshin , Daniil Yudakov , Danila Zaev

In this paper, we investigate downlink power control in massive multiple-input multiple-output (MIMO) networks with distributed antenna arrays. The base station (BS) in each cell consists of multiple antenna arrays, which are deployed in…

Information Theory · Computer Science 2020-01-14 Noman Akbar , Emil Björnson , Erik G. Larsson , Nan Yang

Modern 5G wireless cellular networks use massive multiple-input multiple-output (MIMO) technology. This concept entails using an antenna array at a base station to concurrently service many mobile devices that have several antennas on their…

Information Theory · Computer Science 2023-06-09 Evgeny Bobrov , Boris Chinyaev , Viktor Kuznetsov , Dmitrii Minenkov , Daniil Yudakov

We present an approach to solve the nonconvex optimization problem that arises when designing the transmit covariance matrices in multiuser multiple-input multiple-output (MIMO) broadcast networks implementing simultaneous wireless…

Information Theory · Computer Science 2016-04-05 Javier Rubio , Antonio Pascual-Iserte , Daniel P. Palomar , Andrea Goldsmith