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Random access is necessary in crowded scenarios due to the limitation of pilot sequences and the intermittent pattern of device activity. Nowadays, most of the related works are based on independent and identically distributed (i.i.d.)…

Signal Processing · Electrical Eng. & Systems 2019-08-19 Junyuan Gao , Yongpeng Wu , Fan Wei

In this paper, we study a new kind of pilot contamination appearing in multi-operator reconfigurable intelligent surfaces (RIS) assisted networks, where multiple operators provide services to their respective served users. The operators use…

Signal Processing · Electrical Eng. & Systems 2023-11-03 Doğa Gürgünoğlu , Emil Björnson , Gábor Fodor

Massive MIMO communication systems, by virtue of utilizing very large number of antennas, have a potential to yield higher spectral and energy efficiency in comparison with the conventional MIMO systems. In this paper, we consider uplink…

Information Theory · Computer Science 2015-07-30 Alam Zaib , Mudassir Masood , Anum Ali , Weiyu Xu , Tareq Y. Al-Naffouri

In this paper, the problem of pilot beam pattern design for channel estimation in massive multiple-input multiple-output systems with a large number of transmit antennas at the base station is considered, and a new algorithm for pilot beam…

Information Theory · Computer Science 2015-06-17 Song Noh , Michael D. Zoltowski , Youngchul Sung , David J. Love

We address the design of pilot sequences for channel estimation in the context of multiple-user Massive MIMO; considering the presence of channel correlation, and assuming that the statistics are known, we seek to exploit the spatial…

Information Theory · Computer Science 2016-02-18 Beatrice Tomasi , Maxime Guillaud

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

This paper proposes novel pilot optimization and channel estimation algorithm for the downlink multiuser massive multiple input multiple output (MIMO) system with $K$ decentralized single antenna mobile stations (MSs), and time division…

Applications · Statistics 2014-02-07 Tadilo Endeshaw Bogale , Long Bao Le

Pilot contamination (PC) is a well-known problem that affects massive multiple-input multiple-output (MIMO) systems. When frequency and pilots are reused between different cells, PC constitutes one of the main bottlenecks of the system's…

Signal Processing · Electrical Eng. & Systems 2024-09-12 Amar Kasibovic , Benedikt Fesl , Michael Baur , Wolfgang Utschick

The construction of preamble sequences for channel estimation by superposition of orthogonal pilots can improve performance of massive grant-free uplink from machine-type devices. In this letter, a technique is proposed to obtain full…

Information Theory · Computer Science 2023-12-25 Lorenzo Valentini , Elena Bernardi , Enrico Paolini

This work considers the uplink of a Massive MIMO network wherein the base stations (BSs) are randomly deployed according to a homogenous Poisson point process of intensity $\lambda$. Each BS is equipped with $M$ antennas and serves $K$ user…

Information Theory · Computer Science 2019-06-04 Fahime Sadat Mirhosseini , Andrea Pizzo , Luca Sanguinetti , Aliakbar Tadaion

Dense large-scale antenna deployments are one of the most promising technologies for delivering very large throughputs per unit area in the downlink (DL) of cellular networks. We consider such a dense deployment involving a distributed…

Information Theory · Computer Science 2016-01-11 Ozgun Y. Bursalioglu , Chenwei Wang , Haralabos Papadopoulos , Giuseppe Caire

Single Input-Multiple Output (SIMO) systems are key enablers of high data rates in the next generation wireless communications. However in SIMO systems, channel estimation and equalization are challenging particularly in the presence of…

Information Theory · Computer Science 2025-12-09 K Sai Praneeth , P Aswathylakshmi , Radhakrishna Ganti

The focus of this letter is on the reduction of the large pilot overhead in orthogonal frequency division multiplexing (OFDM) based massive multiple-input multiple-output (MIMO) systems. We propose a novel joint channel estimation and…

Information Theory · Computer Science 2022-12-16 Danilo Lelin Li , Arman Farhang

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

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

We propose a novel algorithm to design user load-achieving pilot sequences that mitigate pilot contamination in multi-cell massive multiple-input multiple-output (MIMO) networks. To this end, we first derive expressions for the user load…

Information Theory · Computer Science 2020-01-14 Noman Akbar , Nan Yang , Parastoo Sadeghi , Rodney A. Kennedy

Massive multiple-input--multiple-output (MIMO) systems can suffer from coherent intercell interference due to the phenomenon of pilot contamination. This paper investigates a two-layer decoding method that mitigates both coherent and…

Information Theory · Computer Science 2019-01-17 Trinh Van Chien , Christopher Mollén , Emil Björnson

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

Massive multiple-input multiple-output (massive MIMO) can provide large spectral and energy efficiency gains. Nevertheless, its potential is conditioned on acquiring accurate channel state information (CSI). In time division duplexing (TDD)…

Information Theory · Computer Science 2018-05-01 Salah Eddine Hajri , Mohamad Assaad

Base stations with a large number of transmit antennas have the potential to serve a large number of users at high rates. However, the receiver processing in the uplink relies on channel estimates which are known to suffer from pilot…

Information Theory · Computer Science 2016-11-18 Narayanan Krishnan , Roy D. Yates , Narayan B. Mandayam