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We consider multi-group multicast precoding designs for cell-free massive multiple-input multiple-output (MIMO) systems. To optimize the transmit and receive beamforming strategies, we focus on minimizing the sum of the maximum mean squared…

Information Theory · Computer Science 2022-11-11 Bikshapathi Gouda , Italo Atzeni , Antti Tölli

We propose fully distributed multi-group multicast precoding designs for cell-free massive multiple-input multiple-output (MIMO) systems with modest training overhead. We target the minimization of the sum of the maximum mean squared errors…

Information Theory · Computer Science 2024-02-01 Bikshapathi Gouda , Italo Atzeni , Antti Tölli

This paper investigates the design of distributed precoding for multi-satellite massive MIMO transmissions. We first conduct a detailed analysis of the transceiver model, in which delay and Doppler precompensation is introduced to ensure…

Signal Processing · Electrical Eng. & Systems 2026-01-13 Yafei Wang , Vu Nguyen Ha , Konstantinos Ntontin , Hong Yan , Wenjin Wang , Symeon Chatzinotas , Björn Ottersten

Downlink massive multiple-input multiple-output (MIMO) precoding algorithms in frequency division duplexing (FDD) systems rely on accurate channel state information (CSI) feedback from users. In this paper, we analyze the tradeoff between…

Information Theory · Computer Science 2023-10-25 Fabrizio Carpi , Sivarama Venkatesan , Jinfeng Du , Harish Viswanathan , Siddharth Garg , Elza Erkip

A centralized coordinated multipoint downlink joint transmission in a frequency division duplex system requires channel state information (CSI) to be fed back from the cell-edge users to their serving BS, and aggregated at the central…

Information Theory · Computer Science 2015-03-27 T. R. Lakshmana , A. Tölli , R. Devassy , T. Svensson

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 propose a novel resource efficient analog over-the-air (OTA) computation framework to address the demanding requirements of the uplink (UL) fronthaul between the access points (APs) and the central processing unit (CPU) in cell-free…

Information Theory · Computer Science 2023-11-15 Zakir Hussain Shaik , Sai Subramanyam Thoota , Emil Björnson , Erik G. Larsson

Cell-free massive multiple-input multiple-output (MIMO) is a key technology for next-generation wireless systems. The integration of cell-free massive MIMO within the open radio access network (O-RAN) architecture addresses the growing need…

Signal Processing · Electrical Eng. & Systems 2026-05-04 Mohammad Hossein Shokouhi , Vincent W. S. Wong

The evolution of mobile networks towards user-centric cell-free distributed Massive MIMO configurations requires the development of novel signal processing techniques. More specifically, digital precoding algorithms have to be designed or…

Signal Processing · Electrical Eng. & Systems 2025-11-10 Emiel Vanspranghels , Raquel Marina Noguera Oishi , Franco Minucci , Sofie Pollin

The performance of centralized and distributed massive MIMO deployments are analyzed for indoor office scenarios. The distributed deployments use one of the following precoding methods: (1) local precoding with local channel state…

Information Theory · Computer Science 2018-01-11 Stefan Dierks , Gerhard Kramer , Berthold Panzner , Wolfgang Zirwas

Cell densification is a key driver to increase area spectral efficiencies in multi-antenna cellular systems. As increasing the densities of base stations (BSs) and users that share the same spectrum, however, both inter-user-interference…

Signal Processing · Electrical Eng. & Systems 2020-11-03 Deokhwan Han , Namyoon Lee

We propose a novel resource-efficient over-the-air(OTA) computation framework to address the huge fronthaul computational and control overhead requirements in cell-free massive multiple-input multiple-output (MIMO) networks. We show that…

Information Theory · Computer Science 2025-06-03 Zakir Hussain Shaik , Sai Subramanyam Thoota , Emil Björnson , Erik G. Larsson

The amalgamation of cell-free networks and reconfigurable intelligent surface (RIS) has become a prospective technique for future sixth-generation wireless communication systems. In this paper, we focus on the precoding and beamforming…

Information Theory · Computer Science 2023-11-23 Peng Zhang , Jiayi Zhang , Huahua Xiao , Xiaodan Zhang , Derrick Wing Kwan Ng , Bo Ai

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

In a recent work, we studied a novel precoding design for cell-free networks called team minimum mean-square error (TMMSE) precoding, which rigorously generalizes centralized MMSE precoding to distributed operations based on…

Information Theory · Computer Science 2022-08-25 Lorenzo Miretti , Emil Björnson , David Gesbert

Downlink coherent multiuser transmission is an essential technique for cell-free massive multiple-input multiple output (MIMO) systems, and the availability of channel state information (CSI) at the transmitter is a basic requirement. To…

This paper addresses cooperation in a multicell environment where base stations (BSs) wish to jointly serve multiple users, under a constrained-capacity backhaul. We point out that for finite backhaul capacity a trade-off between sharing…

Information Theory · Computer Science 2015-05-27 Randa Zakhour , David Gesbert

In this work, we consider the joint precoding across K transmitters (TXs), sharing the knowledge of the user's data symbols to be transmitted towards K single-antenna receivers (RXs). We consider a distributed channel state information…

Information Theory · Computer Science 2011-11-01 Paul de Kerret , David Gesbert

In this work, we consider a wireless network with K cooperating transmitters (TXs) serving jointly K receivers (RXs). Due to the practical limitations of the backhaul network, it is relevant to consider a setting where each TX receives its…

Information Theory · Computer Science 2014-07-01 Paul de Kerret , Richard Fritzsche , David Gesbert , Umer Salim

This paper considers a downlink cell-free multiple-input multiple-output (MIMO) network in which multiple multi-antenna access points (APs) serve multiple users via coherent joint transmission. In order to reduce the energy consumption by…

Information Theory · Computer Science 2025-02-04 Liangzhi Wang , Chen Chen , Jie Zhang , Carlo Fischione
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