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This paper considers several linear beamformer design paradigms for multiuser time-invariant multiple-input multiple-output interference channels. Notably, interference alignment and sum-rate based algorithms such as the maximum…

Information Theory · Computer Science 2010-11-30 Juho Park , Youngchul Sung , H. Vincent Poor

In this paper, we investigate the design of linear precoders for multiple-input multiple-output (MIMO) multiple access channels (MAC). We assume that statistical channel state information (CSI) is available at the transmitters and consider…

Information Theory · Computer Science 2014-01-22 Yongpeng Wu , Chao-Kai Wen , Chengshan Xiao , Xiqi Gao , Robert Schober

A massive MIMO system entails a large number of base station antennas M serving a much smaller number of users. This leads to large gains in spectral and energy efficiency compared with other technologies. As the number of antennas M grows,…

Information Theory · Computer Science 2018-07-13 Ansuman Adhikary , Alexei Ashikhmin

Large-scale MIMO systems can yield a substantial improvement in spectral efficiency for future communication systems. Due to the finer spatial resolution achieved by a huge number of antennas at the base stations, these systems have shown…

Information Theory · Computer Science 2014-10-15 Abla Kammoun , Axel Müller , Emil Björnson , Mérouane Debbah

This paper considers a single-cell massive MIMO (multiple-input multiple-output) system with dual-polarized antennas at both the base station and users. We study a channel model that includes the key practical aspects that arise when…

Information Theory · Computer Science 2022-09-21 Özgecan Özdogan , Emil Björnson

Linear precoding and post-processing schemes are ubiquitous in wireless multi-input-multi-output (MIMO) settings, due to their reduced complexity with respect to optimal strategies. Despite their popularity, the performance analysis of…

Information Theory · Computer Science 2019-10-31 M. Kieburg , G. Akemann , G. Alfano , G. Caire

In this paper, an analytical framework for evaluating the performance of scalable cell-free massive MIMO (SCF-mMIMO) systems in which all user equipments (UEs) and access points (APs) employ finite resolution digital-to-analog converters…

Information Theory · Computer Science 2021-09-16 Xiangjun Ma , Xianfu Lei , P. Takis Mathiopoulos , Kai Yu , Xiaohu Tang

Massive multiple-input multiple-output (MaMIMO) has become an integral part of the fifth-generation (5G) standard, and is envisioned to be further developed in beyond 5G (B5G) networks. With a massive number of antennas at the base station…

Information Theory · Computer Science 2022-11-15 Anup Mishra , Yijie Mao , Christo Kurisummoottil Thomas , Luca Sanguinetti , Bruno Clerckx

We present a novel and low-complexity massive multiple-input multiple-output (MIMO) precoding strategy based on novel findings concerning the subspace separability of Rician fading channels. Considering a uniform rectangular array at the…

Signal Processing · Electrical Eng. & Systems 2020-09-22 Lucas N. Ribeiro , Stefan Schwarz , André L. F. de Almeida , Martin Haardt

In this paper, superimposed pilots are introduced as an alternative to time-multiplexed pilot and data symbols for mitigating pilot contamination in massive multiple-input multiple-output (MIMO) systems. We propose a non-iterative scheme…

Information Theory · Computer Science 2017-08-09 Karthik Upadhya , Sergiy A. Vorobyov , Mikko Vehkapera

This work considers the uplink (UL) of a multi-cell massive MIMO system with $L$ cells, having each $K$ mono-antenna users communicating with an $N-$antennas base station (BS). The channel model involves Rician fading with distinct per-user…

Information Theory · Computer Science 2018-12-18 Ikram Boukhedimi , Abla Kammoun , Mohamed-Slim Alouini

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

Minimizing the symbol error in the uplink of multi-user multiple input multiple output systems is important, because the symbol error affects the achieved signal-to-interference-plus-noise ratio (SINR) and thereby the spectral efficiency of…

Signal Processing · Electrical Eng. & Systems 2022-03-25 Gábor Fodor , Sebastian Fodor , Miklós Telek

In the uplink of multiuser multiple input multiple output (MU-MIMO) systems operating over aging channels, pilot spacing is crucial for acquiring channel state information and achieving high signal-to-interference-plus-noise ratio (SINR).…

Signal Processing · Electrical Eng. & Systems 2022-04-04 Sebastian Fodor , Gábor Fodor , Doğa Gürgünoğlu , Miklós Telek

This paper optimizes the pilot assignment and pilot transmit powers to mitigate pilot contamination in Massive MIMO (multiple-input multiple-output) systems. While prior works have treated pilot assignment as a combinatorial problem, we…

Information Theory · Computer Science 2017-03-07 Trinh Van Chien , Emil Björnson , Erik G. Larsson

Massive MIMO uses a large number of antennas to increase the spectral efficiency (SE) through spatial multiplexing of users, which requires accurate channel state information. It is often assumed that regular pilots (RP), where a fraction…

Information Theory · Computer Science 2021-05-03 Daniel Verenzuela , Emil Björnson , Xiaojie Wang , Maximilian Arnold , Stephan ten Brink

In this paper, we study the sum rate performance of zero-forcing (ZF) and regularized ZF (RZF) precoding in large MISO broadcast systems under the assumptions of imperfect channel state information at the transmitter and per-user channel…

Information Theory · Computer Science 2012-09-11 Sebastian Wagner , Romain Couillet , Merouane Debbah , Dirk. T. M. Slock

In this paper, the downlink of a multi-cell massive MIMO system is considered where the channel state information (CSI) is estimated via pilot symbols that are orthogonal in a cell but re-used in other cells. Re-using the pilots, however,…

Information Theory · Computer Science 2021-12-21 Meysam Shahrbaf Motlagh , Subhajit Majhi , Patrick Mitran , Hideki Ochiai

We propose a location-aware pilot allocation algorithm for a massive multiple-input multiple-output (MIMO) network with high-mobility users, where the wireless channels are subject to Rician fading. Pilot allocation in massive MIMO is a…

Information Theory · Computer Science 2020-01-14 Noman Akbar , Shihao Yan , Nan Yang , Jinhong Yuan

We consider the downlink of a multi-cell massive MIMO system suffering from asymptotic rate saturation due to pilot contamination. As opposed to treating pilot contamination interference as noise (TIN), we study the performance of decoding…

Information Theory · Computer Science 2022-08-09 Meysam Shahrbaf Motlagh , Subhajit Majhi , Patrick Mitran , Hideki Ochiai