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We study the performance of uplink transmission in a large-scale (massive) MIMO system, where all the transmitters have single antennas and the base station has a large number of antennas. Specifically, we first derive the rates that are…

Information Theory · Computer Science 2016-06-14 Songtao Lu , Zhengdao Wang

In this paper, we analyze the achievable rate of the uplink of a single-cell multi-user distributed massive multiple-input-multiple-output (MIMO) system. The multiple users are equipped with single antenna and the base station (BS) is…

Information Theory · Computer Science 2016-11-17 Ang Yang , Yindi Jing , Chengwen Xing , Zesong Fei , Jingming Kuang

In this paper, full-duplex radios are used to continuously update the channel state information at the transmitter, which is required to compute the downlink precoding matrix in MIMO broadcast channels. The full-duplex operation allows…

Information Theory · Computer Science 2015-05-08 Xu Du , John Tadrous , Chris Dick , Ashutosh Sabharwal

This paper considers maximizing the network-wide minimum supported rate in the downlink of a two-cell system, where each base station (BS) is endowed with multiple antennas. This is done for different levels of cell cooperation. At one…

Information Theory · Computer Science 2011-06-14 Randa Zakhour , Stephen V. Hanly

We study the massive multiple-input multiple-output (MIMO) multicast transmission in cellular networks where each base station (BS) is equipped with a large-scale antenna array and transmits a common message using a single beamformer to…

Information Theory · Computer Science 2016-11-15 Zhengzheng Xiang , Meixia Tao , Xiaodong Wang

This paper takes a new look at Cell-free Massive MIMO (multiple-input multiple-output) through the lens of the dynamic cooperation cluster framework from the Network MIMO literature. The purpose is to identify and address scalability issues…

Information Theory · Computer Science 2019-06-27 Emil Björnson , Luca Sanguinetti

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 present a general framework for the characterization of the packet error probability achievable in cell-free Massive multiple-input multiple output (MIMO) architectures deployed to support ultra-reliable low-latency (URLLC) traffic. The…

Information Theory · Computer Science 2023-04-17 Alejandro Lancho , Giuseppe Durisi , Luca Sanguinetti

Future cellular systems based on the use of above-6 GHz frequencies, the so-called millimeter wave (mmWave) bandwidths, will heavily rely on the use of antenna arrays both at the transmitter and at the receiver, possibly with a large number…

Information Theory · Computer Science 2016-10-25 Stefano Buzzi , Carmen D'Andrea

Cell-free (CF) massive multiple-input-multiple-output (mMIMO) deployments are usually investigated with half-duplex nodes and high-capacity fronthaul links. To leverage the possible gains in throughput and energy efficiency (EE) of…

Signal Processing · Electrical Eng. & Systems 2021-08-11 Soumyadeep Datta , Ekant Sharma , Dheeraj Naidu Amudala , Rohit Budhiraja , Shivendra S. Panwar

In this paper, we investigate cell-free massive MIMO (CF-mMIMO) systems in which access points (APs) are equipped with fluid antennas (FAs) and develop a comprehensive framework for channel estimation, antenna port selection, and uplink…

Information Theory · Computer Science 2025-12-30 Maryam Olyaee , Giovanni Interdonato , Stefano Buzzi

Deploying massive number of antennas at the base station side can boost the cellular system performance dramatically. Meanwhile, it however involves significant additional radio-frequency (RF) front-end complexity, hardware cost and power…

Information Theory · Computer Science 2018-05-09 Zhiyuan Jiang , Sheng Zhou , Zhisheng Niu

We consider the downlink of a cell-free massive multiple-input multiple-output (MIMO) network where numerous distributed access points (APs) serve a smaller number of users under time division duplex operation. An important issue in…

Information Theory · Computer Science 2017-04-12 L. D. Nguyen , T. Q. Duong , H. Q. Ngo , K. Tourki

The physical layer foundations of cell-free massive MIMO (CF-mMIMO) have been well-established. As a next step, researchers are investigating practical and energy-efficient network implementations. This paper focuses on multiple sets of…

Signal Processing · Electrical Eng. & Systems 2024-05-14 Özlem Tuğfe Demir , Lianet Méndez-Monsanto , Nicola Bastianello , Emma Fitzgerald , Gilles Callebaut

Cell-free massive MIMO is a key 6G technology, offering superior spectral and energy efficiency. However, its dense deployment of low-cost access points (APs) makes hardware impairments unavoidable. While narrowband impairments are…

Signal Processing · Electrical Eng. & Systems 2025-07-30 Özlem Tuğfe Demir , Muhammed Selman Somuncu , Ahmet M. Elbir , Emil Björnson

Cell-free massive MIMO communications is an emerging network technology for 5G wireless communications wherein distributed multi-antenna access points (APs) serve many users simultaneously. Most prior work on cell-free massive MIMO systems…

Information Theory · Computer Science 2020-01-22 Asmaa Abdallah , Mohammad M. Mansour

The precoding in cell-free massive multiple-input multiple-output (MIMO) technology relies on accurate knowledge of channel responses between users (UEs) and access points (APs). Obtaining high-quality channel estimates in turn requires the…

Information Theory · Computer Science 2021-01-27 Giovanni Interdonato , Pål Frenger , Erik G. Larsson

Cell-free Massive MIMO (multiple-input multiple-output) is a promising distributed network architecture for 5G-and-beyond systems. It guarantees ubiquitous coverage at high spectral efficiency (SE) by leveraging signal co-processing at…

Information Theory · Computer Science 2020-04-17 Giovanni Interdonato , Marcus Karlsson , Emil Björnson , Erik G. Larsson

This paper aims to minimize the total transmit power consumption for Massive MIMO (multiple-input multiple-output) downlink cellular systems when each user is served by the optimized subset of the base stations (BSs). We derive a lower…

Information Theory · Computer Science 2016-07-08 Trinh Van Chien , Emil Björnson , Erik G. Larsson

This paper considers a mmWave cell-free massive MIMO (multiple-input multiple-output) network composed of a large number of geographically distributed access points (APs) simultaneously serving multiple user equipments (UEs) via coherent…

Signal Processing · Electrical Eng. & Systems 2023-11-03 Mahmoud Zaher , Emil Björnson , Marina Petrova