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Massive multi-input multiple-out (MIMO) is a key ingredient in improving the spectral efficiencies for next-generation cellular systems. Thanks to the channel reciprocity, in time-division-duplexing mode, each base station (BS) can acquire…

Signal Processing · Electrical Eng. & Systems 2021-07-30 Deokhwan Han , Namyoon Lee

Recent information theoretic results suggest that precoding on the multi-user downlink MIMO channel with delayed channel state information at the transmitter (CSIT) could lead to data rates much beyond the ones obtained without any CSIT,…

Information Theory · Computer Science 2012-07-10 Xinping Yi , David Gesbert

Satellite-terrestrial integrated networks (STINs) are promising architecture for providing global coverage. In STINs, full frequency reuse between a satellite and a terrestrial base station (BS) is encouraged for aggressive spectrum reuse,…

Information Theory · Computer Science 2024-08-21 Doseon Kim , Sungyoon Cho , Wonjae Shin , Jeonghun Park , Dong Ku Kim

In this manuscript we tackle the problem of semi-distributed user selection with distributed linear precoding for sum rate maximization in multiuser multicell systems. A set of adjacent base stations (BS) form a cluster in order to perform…

Information Theory · Computer Science 2015-04-29 Eduardo Castañeda , Adão Silva , Ramiro Samano-Robles , Atilio Gameiro

Precoding techniques are key to dealing with multiuser interference in the downlink of cell-free (CF) multiple-input multiple-output systems. However, these techniques rely on accurate estimates of the channel state information at the…

Information Theory · Computer Science 2024-07-09 A. Flores , R. de Lamare

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 space limitation and the channel acquisition prevent Massive MIMO from being easily deployed in a practical setup. Motivated by current deployments of LTE-Advanced, the use of multi-polarized antennas can be an efficient solution to…

Information Theory · Computer Science 2015-01-13 Jaehyun Park , Bruno Clerckx

Cell-free (CF) systems have the potential to fulfill the increasing performance demand of future wireless applications by employing distributed access points (APs) that transmit the information over the same time-frequency resources. Due to…

Information Theory · Computer Science 2024-10-08 A. Flores , R. C. de Lamare

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

Most works on cell-free massive multiple-input multiple-output (MIMO) consider non-cooperative precoding strategies at the base stations (BSs) to avoid extensive channel state information (CSI) exchange via backhaul signaling. However,…

Information Theory · Computer Science 2020-10-14 Italo Atzeni , Bikshapathi Gouda , Antti Tölli

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

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

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

MIMO processing plays a central part towards the recent increase in spectral and energy efficiencies of wireless networks. MIMO has grown beyond the original point-to-point channel and nowadays refers to a diverse range of centralized and…

Information Theory · Computer Science 2016-11-17 Bruno Clerckx , Hamdi Joudeh , Chenxi Hao , Mingbo Dai , Borzoo Rassouli

Integrated sensing and communication (ISAC) is a very promising technology designed to provide both high rate communication capabilities and sensing capabilities. However, in Massive Multi User Multiple-Input Multiple-Output (Massive MU…

Information Theory · Computer Science 2024-10-22 Jun Zhu , Yin Xu , Dazhi He , Haoyang Li , YunFeng Guan , Wenjun Zhang

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

This paper presents a new virtualization method for the downlink of a multi-cell multiple-input multiple-output (MIMO) network, to achieve service isolation among multiple Service Providers (SPs) that share the base station resources of an…

Information Theory · Computer Science 2022-01-11 Juncheng Wang , Min Dong , Ben Liang , Gary Boudreau , Hatem Abou-zeid

We propose a hierarchical interference mitigation scheme for massive MIMO cellular networks. The MIMO precoder at each base station (BS) is partitioned into an inner precoder and an outer precoder. The inner precoder controls the intra-cell…

Information Theory · Computer Science 2015-06-16 An Liu , Vincent Lau

This article studies a novel distributed precoding design, coined team minimum mean-square error (TMMSE) precoding, which rigorously generalizes classical centralized MMSE precoding to distributed operations based on transmitter-specific…

Information Theory · Computer Science 2021-11-04 Lorenzo Miretti , Emil Björnson , David Gesbert

This paper addresses the problem of exploiting interference among simultaneous multiuser transmissions in the downlink of multiple-antenna systems. Using symbol-level precoding, a new approach towards addressing the multiuser interference…

Information Theory · Computer Science 2016-11-17 Maha Alodeh , Symeon Chatzinotas , Bjorn Ottersten
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