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We consider online coordinated precoding design for downlink wireless network virtualization (WNV) in a multi-cell multiple-input multiple-output (MIMO) network with imperfect channel state information (CSI). In our WNV framework, an…

Information Theory · Computer Science 2021-05-18 Juncheng Wang , Ben Liang , Min Dong , Gary Boudreau

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

In this study, we explore the integration of satellites with ground-based communication networks. Specifically, we analyze downlink data transmission from a constellation of satellites to terrestrial users and address the issue of delayed…

Signal Processing · Electrical Eng. & Systems 2024-06-11 Yasaman Omid , Sangarapillai Lambotharan , Mahsa Derakhshani

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

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

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

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

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

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

In this paper, we consider delay-optimal MIMO precoder and power allocation design for a MIMO Link in wireless fading channels. There are $L$ data streams spatially multiplexed onto the MIMO link with heterogeneous packet arrivals and delay…

Information Theory · Computer Science 2009-06-02 Vincent K. N. Lau , Yan Chen

Multi-antenna precoding effectively mitigates the interference in wireless networks. However, the precoding efficiency can be significantly degraded by the overhead due to the required feedback of channel state information (CSI). This paper…

Information Theory · Computer Science 2010-09-20 Kaibin Huang , Rui Zhang

We consider the problem of downlink precoding for Network (multi-cell) MIMO networks where Transmitters (TXs) are provided with imperfect Channel State Information (CSI). Specifically, each TX receives a delayed channel estimate with the…

Information Theory · Computer Science 2012-10-22 Xinping Yi , Paul de Kerret , David Gesbert

Hybrid precoding is a cost-efficient technique for millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) communications. This paper proposes a deep learning approach by using a distributed neural network for hybrid…

Information Theory · Computer Science 2022-04-19 Kai Wei , Jindan Xu , Wei Xu , Ning Wang , Dong Chen

It is generally believed that downlink cell-free networks perform best under centralized implementations where the local channel state information (CSI) acquired by the access-points (AP) is forwarded to one or more central processing units…

Information Theory · Computer Science 2024-04-22 Lorenzo Miretti , Sławomir Stańczak

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

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

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

Interference mitigation techniques are essential for improving the performance of interference limited wireless networks. In this paper, we introduce novel interference mitigation schemes for wireless cellular networks with space division…

Information Theory · Computer Science 2014-08-18 Martin Kasparick , Gerhard Wunder

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

Multi-antenna precoding effectively mitigates the interference in wireless networks. However, the resultant performance gains can be significantly compromised in practice if the precoder design fails to account for the inaccuracy in the…

Information Theory · Computer Science 2012-02-28 Kaibin Huang , Rui Zhang
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