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The uplink of interference-limited cellular networks with base stations that have large numbers of antennas and use linear Minimum-Mean-Square Error (MMSE) processing with power control is analyzed. Simple approximations, which are exact in…

Information Theory · Computer Science 2015-06-22 Siddhartan Govindasamy

We consider the uplink of massive multicell multiple-input multiple-output systems, where the base stations (BSs), equipped with massive arrays, serve simultaneously several terminals in the same frequency band. We assume that the BS…

Information Theory · Computer Science 2015-01-09 Hien Quoc Ngo , Michail Matthaiou , Erik G. Larsson

A common approach to obtain channel state information for massive MIMO networks is to use the same orthogonal training sequences in each cell. We call this the full-pilot reuse (FPR) scheme. In this paper, we study an alternative approach…

Information Theory · Computer Science 2017-09-12 Rusdha Muharar , Jamie Evans

The spectral efficiency (SE) of Massive MIMO (MaMIMO) systems is affected by low quality channel estimates. Rate-Splitting (RS) has recently gained some interest in multiuser multiple antenna systems as an effective means to mitigate the…

Information Theory · Computer Science 2020-03-17 Christo Kurisummoottil Thomas , Bruno Clerckx , Luca Sanguinetti , Dirk Slock

Pilot reuse in multi-cell massive multi-input multi-output (MIMO) system is investigated where user groups with different priorities exist. Recent investigation on pilot reuse has revealed that when the ratio of the coherent time interval…

Information Theory · Computer Science 2017-05-03 Jy-yong Sohn , Sung Whan Yoon , Jaekyun Moon

In this paper, we consider a joint unicast and multi-group multicast cell-free distributed massive multiple-input multiple-output (MIMO) system, while accounting for co-pilot assignment strategy based channel estimation, pilot contamination…

Information Theory · Computer Science 2022-03-10 Jiamin Li , Qijun Pan , Zhenggang Wu , Pengcheng Zhu , Dongming Wang , Xiaohu You

In this paper, we propose a relative channel estimation error (RCEE) metric, and derive closed-form expressions for its expectation $\rm {Exp}_{rcee}$ and the achievable uplink rate holding for any number of base station antennas $M$, with…

Information Theory · Computer Science 2017-05-16 Pei Liu , Shi Jin , Tao Jiang , Qi Zhang , Michail Matthaiou

In a cell-free massive MIMO architecture a very large number of distributed access points simultaneously and jointly serves a much smaller number of mobile stations; a variant of the cell-free technique is the user-centric approach, wherein…

Signal Processing · Electrical Eng. & Systems 2019-03-28 Mario Alonzo , Stefano Buzzi , Alessio Zappone , Ciro D'Elia

This work studies multiuser detection for one-bit massive multiple-input multiple-output (MIMO) systems in order to diminish the power consumption at the base station (BS). A low-complexity near-maximum-likelihood (nML) multiuser detection…

Information Theory · Computer Science 2018-06-11 Panos Alevizos

This paper demonstrates the feasibility of respiration pattern estimation utilizing a communication-centric cellfree massive MIMO OFDM Base Station (BS). The sensing target is typically positioned near the User Equipment (UE), which…

Signal Processing · Electrical Eng. & Systems 2025-02-18 Haoqiu Xiong , Robbert Beerten , Zhuangzhuang Cui , Yang Miao , Sofie Pollin

We consider the uplink of a cellular massive MIMO network. Acquiring channel state information at the base stations (BSs) requires uplink pilot signaling. Since the number of orthogonal pilot sequences is limited by the channel coherence,…

Information Theory · Computer Science 2016-05-12 Rami Mochaourab , Emil Björnson , Mats Bengtsson

This paper investigates the effect of oscillator phase noise on a multiuser millimeter wave (mmWave) massive MIMO uplink as we scale up the number of base station antennas, fixing the load factor, defined as the ratio of the number of…

Signal Processing · Electrical Eng. & Systems 2019-10-22 Maryam Eslami Rasekh , Mohammed Abdelghany , Upamanyu Madhow , Mark Rodwell

Massive MIMO is a variant of multiuser MIMO in which the number of antennas at the base station (BS) $M$ is very large and typically much larger than the number of served users (data streams) $K$. Recent research has illustrated the…

Information Theory · Computer Science 2018-07-31 Mahdi Nouri Boroujerdi , Saeid Haghighatshoar , Giuseppe Caire

We consider a cell-free massive multiple-input multiple-output (MIMO) system with multiple antennas on the users and access points (APs). In previous works, the downlink spectral efficiency (SE) has been evaluated using the hardening bound…

Information Theory · Computer Science 2026-01-01 Eren Berk Kama , Junbeom Kim , Emil Björnson

This letter proposes a deep learning based pilot design scheme to minimize the sum mean square error (MSE) of channel estimation for multi-user distributed massive multiple-input multiple-output (MIMO) systems. The pilot signal of each user…

Signal Processing · Electrical Eng. & Systems 2019-03-19 Jun Xu , Pengcheng Zhu , Jiamin Li , Xiaohu You

In this work, we consider the downlink of a single-cell multi-user MIMO system in which the base station (BS) makes use of $N$ antennas to communicate with $K$ single-antenna user equipments (UEs). The UEs move around in the cell according…

Information Theory · Computer Science 2016-11-18 Luca Sanguinetti , Aris L. Moustakas , Emil Bjornson , Merouane Debbah

In this work, we consider the downlink of a multi-cell multiple-input multiple-output (MIMO) system and find the jointly optimal number of base station (BS) antennas and transmission powers that minimize the power consumption while…

Information Theory · Computer Science 2019-02-22 Kamil Senel , Emil Björnson , Erik G. Larsson

The capacity of cellular networks can be improved by the unprecedented array gain and spatial multiplexing offered by Massive MIMO. Since its inception, the coherent interference caused by pilot contamination has been believed to create a…

Information Theory · Computer Science 2017-11-10 Emil Björnson , Jakob Hoydis , Luca Sanguinetti

Massive multiple input multiple output (M-MIMO) technology plays a pivotal role in fifth-generation (5G) and beyond communication systems, offering a wide range of benefits, from increased spectral efficiency (SE) to enhanced energy…

Information Theory · Computer Science 2024-09-12 Muhammad Kamran Saeed , Ashfaq Khokhar , Shakil Ahmed

This paper investigates the spectral efficiency (SE) of multi-cell Massive Multi-Input Multi-Output (MIMO) using different channel models. Prior works have derived closed-form SE bounds and approximations for Gaussian distributed channels,…

Information Theory · Computer Science 2016-09-06 Trinh Van Chien , Emil Björnson , Erik G. Larsson