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We provide a comprehensive performance comparison of soft-output and hard-output demodulators in the context of non-iterative multiple-input multiple-output bit-interleaved coded modulation (MIMO-BICM). Coded bit error rate (BER), widely…

Information Theory · Computer Science 2010-12-07 Peter Fertl , Joakim Jalden , Gerald Matz

Beamforming gain is a key ingredient in the performance of LEO satellite communication systems to be integrated into cellular networks. However, beam codebooks previously designed in the context of MIMO communication for terrestrial…

Signal Processing · Electrical Eng. & Systems 2021-11-17 Joan Palacios , Nuria González-Prelcic , Carlos Mosquera , Takayuki Shimizu

Achieving high channel estimation accuracy and reducing hardware cost as well as power dissipation constitute substantial challenges in the design of massive multiple-input multiple-output (MIMO) systems. To resolve these difficulties,…

Information Theory · Computer Science 2022-01-03 Yalin Wang , Xihan Chen , Yunlong Cai , Benoit Champagne , Lajos Hanzo

This paper provides novel insights into channel and subspace codes in nonadaptive channel sensing with a single RF chain. Observing that this problem naturally maps to a noncoherent decoding problem, we show that the sensing performance of…

Signal Processing · Electrical Eng. & Systems 2026-04-23 Parthasarathi Khirwadkar , Robin Rajamäki , Piya Pal

The traditional information theoretic approach to studying feedback is to consider ideal instantaneous high-rate feedback of the channel outputs to the encoder. This was acceptable in classical work because the results were negative:…

Information Theory · Computer Science 2007-12-07 Anant Sahai

We investigate the MIMO broadcast channel in the high SNR regime when linear filtering is applied instead of dirty paper coding. Using a user-wise rate duality where the streams of every single user are not treated as self-interference as…

Information Theory · Computer Science 2008-07-18 Raphael Hunger , Michael Joham

The utility of limited feedback for coding over an individual sequence of DMCs is investigated. This study complements recent results showing how limited or noisy feedback can boost the reliability of communication. A strategy with fixed…

Information Theory · Computer Science 2016-11-17 Krishnan Eswaran , Anand D. Sarwate , Anant Sahai , Michael Gastpar

This paper proposes a model-driven deep learning (MDDL)-based channel estimation and feedback scheme for wideband millimeter-wave (mmWave) massive hybrid multiple-input multiple-output (MIMO) systems, where the angle-delay domain channels'…

Information Theory · Computer Science 2022-01-20 Xisuo Ma , Zhen Gao , Feifei Gao , Marco Di Renzo

We consider coded caching over the fading broadcast channel, where the users, equipped with a memory of finite size, experience asymmetric fading statistics. It is known that a naive application of coded caching over the channel at hand…

Information Theory · Computer Science 2018-01-16 Richard Combes , Asma Ghorbel , Mari Kobayashi , Sheng Yang

We consider a MIMO fading broadcast channel where the fading channel coefficients are constant over time-frequency blocks that span a coherent time $\times$ a coherence bandwidth. In closed-loop systems, channel state information at…

Information Theory · Computer Science 2009-12-11 Mari Kobayashi , Nihar Jindal , Giuseppe Caire

The use of a learnable codebook provides an efficient way for semantic communications to map vector-based high-dimensional semantic features onto discrete symbol representations required in digital communication systems. In this paper, the…

Information Theory · Computer Science 2025-10-16 Lingyi Wang , Rashed Shelim , Walid Saad , Naren Ramakrishnan

We determine the capacity-achieving input covariance matrices for coherent block-fading correlated MIMO Rician channels. In contrast with the Rayleigh and uncorrelated Rician cases, no closed-form expressions for the eigenvectors of the…

Information Theory · Computer Science 2007-07-13 Julien Dumont , Philippe Loubaton , Samson Lasaulce

This paper is motivated by the problem of error control in network coding when errors are introduced in a random fashion (rather than chosen by an adversary). An additive-multiplicative matrix channel is considered as a model for random…

Information Theory · Computer Science 2019-05-07 Danilo Silva , Frank R. Kschischang , Ralf Kötter

The multiple access channel (MAC) capacity with feedback is considered under feedback models designed to tease out which factors contribute to the MAC feedback capacity benefit. Comparing the capacity of a MAC with ``perfect'' feedback,…

Information Theory · Computer Science 2023-05-11 Oliver Kosut , Michelle Effros , Michael Langberg

The problem of excessive pilot overhead required for uplink massive MIMO channel estimation is well known, let alone when it is considered along with wideband (OFDM) transmissions. Towards channel estimators that are both efficient and…

Information Theory · Computer Science 2018-12-11 Gerhard Wunder , Stelios Stefanatos , Axel Flinth , Ingo Roth , Giuseppe Caire

A subspace method for channel estimation has been recently proposed [1] for tackling the pilot contamination effect, which is regarded by some researchers as a bottleneck in massive MIMO systems. It was shown in [1] that if the power ratio…

Information Theory · Computer Science 2015-10-15 Mohammed Teeti , Jun Sun , David Gesbert , Yingzhuang Liu

The effective rate is an important performance metric of real-time applications in next generation wireless networks. In this paper, we present an analysis of the effective rate of multiple-input single-output (MISO) systems over…

Information Theory · Computer Science 2015-07-16 Jiayi Zhang , Linglong Dai , Zhaocheng Wang , Derrick Wing Kwan Ng , Wolfgang H. Gerstacker

This paper investigates the maximum coding rate at which data can be transmitted over a noncoherent, multiple-input, multiple-output (MIMO) Rayleigh block-fading channel using an error-correcting code of a given blocklength with a…

Information Theory · Computer Science 2025-11-19 Chao Qi , Tobias Koch

In this paper, we study feedback optimization problems that maximize the users' signal to interference plus noise ratio (SINR) in a two-cell MIMO broadcast channel. Assuming the users learn their direct and interfering channels perfectly,…

Information Theory · Computer Science 2012-12-12 Rusdha Muharar , Randa Zakhour , Jamie Evans

Transmitter channel state information (CSIT) is crucial for the multiplexing gains offered by advanced interference management techniques such as multiuser MIMO and interference alignment. Such CSIT is usually obtained by feedback from the…

Information Theory · Computer Science 2012-07-02 Mohammad Ali Maddah-Ali , David Tse