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This paper investigates the downlink of massive multiple-input multiple-output (MIMO) systems that include a single cell Base Station (BS) equipped with large number of antennas serving multiple users. As the number of RF chains is getting…

Information Theory · Computer Science 2019-07-18 Rami Hamdi , Wessam Ajib

This paper studies a cell-free massive multiple-input multiple-output (MIMO) system where its access points (APs) and users are equipped with multiple antennas. Two transmission protocols are considered. In the first transmission protocol,…

Information Theory · Computer Science 2020-04-27 Trang C. Mai , Hien Quoc Ngo , Trung Q. Duong

We investigate the uplink throughput achievable by a multiple-user (MU) massive multiple-input multiple-output (MIMO) system in which the base station is equipped with a large number of low-resolution analog-to-digital converters (ADCs).…

Information Theory · Computer Science 2017-04-18 Sven Jacobsson , Giuseppe Durisi , Mikael Coldrey , Ulf Gustavsson , Christoph Studer

We consider the uplink of a multicell multiuser multiple-input multiple-output system where the channel experiences both small and large-scale fading. The data detection is done by using the linear zero-forcing technique, assuming the base…

Information Theory · Computer Science 2012-07-02 Hien Quoc Ngo , Michail Matthaiou , Trung Q. Duong , Erik G. Larsson

In this work we extend the concept of uplink-downlink rate balancing to frequency division duplex (FDD) massive MIMO systems. We consider a base station with large number antennas serving many single antenna users. We first show that any…

Information Theory · Computer Science 2016-05-04 Itsik Bergel , Yona Perets , Shlomo Shamai

Cellular networks of massive MIMO base-stations employing TDD/OFDM and relying on uplink training for both downlink and uplink transmission are viewed as an attractive candidate for 5G deployments, as they promise high area spectral and…

Information Theory · Computer Science 2018-11-07 Zekun Zhang , Chenwei Wang , Haralabos Papadopoulos

In this paper, we consider the uplink channel estimation phase and downlink data transmission phase of cell-free millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems with low-capacity fronthaul links and…

Information Theory · Computer Science 2022-11-01 In-soo Kim , Mehdi Bennis , Junil Choi

The uplink achievable rate of massive multiple- input-multiple-output (MIMO) systems, where the low-resolution analog-to-digital converters (ADCs) are assumed to equip at the base station (BS), is investigated in this paper. We assume that…

Information Theory · Computer Science 2018-01-31 Kai Liu , Cheng Tao , Liu Liu , Yinsheng Liu

In this letter, we derive an approximate analytical expression for the uplink achievable rate of a massive multi-input multi-output (MIMO) antenna system when finite precision analog-digital converters (ADCs) and the common maximal ratio…

Information Theory · Computer Science 2015-12-03 Li Fan , Shi Jin , Chao-Kai Wen , Haixia Zhang

Multi-Cell (MC) systems are present in mobile network operations from the first generation to the fifth generation of wireless networks, and considers the signals of all users to a base station (BS) centered in a cell. Cell-Free (CF)…

Information Theory · Computer Science 2022-10-04 E. F. de Almeida , R. C. de Lamare

This paper investigates the capacity scaling of multicell massive MIMO systems in the presence of spatially correlated fading. In particular, we focus on the strong spatial correlation regimes where the covariance matrix of each user…

Information Theory · Computer Science 2019-12-10 Junyoung Nam , Giuseppe Caire , Merouane Debbah , H. Vincent Poor

Since the first cellular networks were trialled in the 1970s, we have witnessed an incredible wireless revolution. From 1G to 4G, the massive traffic growth has been managed by a combination of wider bandwidths, refined radio interfaces,…

Information Theory · Computer Science 2019-09-09 Giovanni Interdonato , Emil Björnson , Hien Quoc Ngo , Pål Frenger , Erik G. Larsson

This paper focuses on the use of a deep learning approach to perform sum-rate-max and max-min power allocation in the uplink of a cell-free massive MIMO network. In particular, we train a deep neural network in order to learn the mapping…

Information Theory · Computer Science 2019-08-30 Carmen D'Andrea , Alessio Zappone , Stefano Buzzi , Merouane Debbah

The performance of simultaneous wireless information and power transfer (SWIPT) in downlink (DL) cell-free massive multiple-input multiple-output (MIMO) is investigated. Tight approximations to the DL harvested energy and the DL/uplink (UL)…

Signal Processing · Electrical Eng. & Systems 2020-11-17 Diluka Loku Galappaththige , Rajan Shrestha , Gayan Amarasuriya Aruma Baduge

In this paper, downlink secure transmission in simultaneous information and power transfer (SWIPT) system enabled with massive multiple-input multiple-output (MIMO) is studied. A base station (BS) with a large number of antennas transmits…

Information Theory · Computer Science 2020-08-12 Zahra Goli , S. Mohammad Razavizadeh , Hamed Farhadi , Tommy Svensson

Massive MIMO is seen as a main enabler for low latency communications, thanks to its high spatial degrees of freedom. The channel hardening and favorable propagation properties of Massive MIMO are particularly important for multiplexing…

Information Theory · Computer Science 2020-07-10 Alexandru-Sabin Bana , Luca Sanguinetti , Elisabeth De Carvalho , Petar Popovski

Holographic MIMO (HMIMO) has emerged as a promising solution for future wireless systems by enabling ultra-dense, spatially continuous antenna deployments. While prior studies have primarily focused on electromagnetic (EM) modeling or…

Signal Processing · Electrical Eng. & Systems 2025-10-07 Gayathri Shekar , Saman Atapattu , Prathapasinghe Dharmawansa , Kandeepan Sithamparanathan

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

In what ways could cellular massive MIMO be improved? This technology has already been shown to bring huge performance gains. However, coverage holes and difficulties to transmit multiple streams to multi-antenna users because of…

Signal Processing · Electrical Eng. & Systems 2025-01-08 Sara Willhammar , Hiroki Iimori , Joao Vieira , Lars Sundström , Fredrik Tufvesson , Erik G. Larsson

This paper considers cell-free and user-centric approaches for coverage improvement in wireless cellular systems operating at millimeter wave frequencies, and proposes downlink power control algorithms aimed at maximizing the global energy…

Information Theory · Computer Science 2018-05-15 Mario Alonzo , Stefano Buzzi , Alessio Zappone