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Related papers: Massive MIMO: How many antennas do we need?

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We analyze the performance of massive MIMO systems with $N$-antenna users. The benefit is that $N$ streams can be multiplexed per user, at the price of increasing the channel estimation overhead linearly with $N$. Uplink and downlink…

Information Theory · Computer Science 2016-03-31 Xueru Li , Emil Björnson , Shidong Zhou , Jing Wang

In this paper, the large-scale MU-MIMO system is considered where a base station (BS) with extremely large number of antennas (N) serves relatively less number of users (K). In order to achieve largest sum rate, it is proven that the amount…

Information Theory · Computer Science 2013-07-16 Wei Ding , Tiejun Lv

Massive spatial modulation aided multiple-input multiple-output (SM-MIMO) systems have recently been proposed as a novel combination of spatial modulation (SM) and of conventional massive MIMO, where the base station (BS) is equipped with a…

Information Theory · Computer Science 2016-12-28 Longzhuang He , Jintao Wang , Jian Song , Lajos Hanzo

This paper is concerned with SC/FDE for bandwidth-efficient uplink block transmission, with QAM schemes, in a MU MIMO system. The number of BS receiver antennas is assumed to be large, but not necessarily much larger than the overall number…

Information Theory · Computer Science 2016-11-15 Paulo Torres , Antonio Gusmao

We consider the uplink of a Massive MIMO network with $L$ cells, each comprising a BS with $M$ antennas and $K$ single-antenna user equipments. Recently, [1] studied the asymptotic spectral efficiency of such networks with optimal multicell…

Information Theory · Computer Science 2019-06-26 Luca Sanguinetti , Emil Björnson , Abla Kammoun

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

In this paper, a new multi-cell MMSE detector is proposed for massive MIMO systems. Let $K$ and $B$ denote the number of users in each cell and the number of available pilot sequences in the network, respectively, with $B = \beta K$, where…

Information Theory · Computer Science 2015-09-08 Xueru Li , Emil Björnson , Erik G. Larsson , Shidong Zhou , Jing Wang

In this paper, we propose algorithms for signal detection in large-scale multiuser {\em spatial modulation multiple-input multiple-output (SM-MIMO)} systems. In large-scale SM-MIMO, each user is equipped with multiple transmit antennas…

Information Theory · Computer Science 2013-11-07 P. Raviteja , T. Lakshmi Narasimhan , A. Chockalingam

Massive MIMO is a promising technique to increase the spectral efficiency (SE) of cellular networks, by deploying antenna arrays with hundreds or thousands of active elements at the base stations and performing coherent transceiver…

Information Theory · Computer Science 2015-10-21 Emil Björnson , Erik G. Larsson , Mérouane Debbah

In this work, salient characteristics of a wireless communication system deploying a great number of antennas in the base station (BS), namely Massive MIMO system, are investigated. In particular, we found a simple and meaningful…

Networking and Internet Architecture · Computer Science 2014-06-17 José Carlos Marinello , Taufik Abrão

Massive multiple-input multiple-output (MIMO) systems are cellular networks where the base stations (BSs) are equipped with unconventionally many antennas. Such large antenna arrays offer huge spatial degrees-of-freedom for transmission…

Information Theory · Computer Science 2014-03-20 Emil Björnson , Michail Matthaiou , Mérouane Debbah

We study the performance of uplink transmission in a large-scale (massive) MIMO system, where all the transmitters have single antennas and the base station has a large number of antennas. Specifically, we first derive the rates that are…

Information Theory · Computer Science 2016-06-14 Songtao Lu , Zhengdao Wang

In this paper, we consider the multi-user detection problem in a multiple-input multiple-output (MIMO) system, where the number of receive antennas at the base station (BS) grows infinitely large. We propose a new performance metric, called…

Signal Processing · Electrical Eng. & Systems 2021-07-22 Ruichen Jiang , Ya-Feng Liu

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

Assume that a multi-user multiple-input multiple-output (MIMO) system is designed from scratch to uniformly cover a given area with maximal energy efficiency (EE). What are the optimal number of antennas, active users, and transmit power?…

Information Theory · Computer Science 2016-02-22 Emil Björnson , Luca Sanguinetti , Jakob Hoydis , Mérouane Debbah

We study the performance of uplink transmission in a large-scale (massive) MIMO system, where all the transmitters have single antennas and the receiver (base station) has a large number of antennas. Specifically, we analyze achievable…

Information Theory · Computer Science 2013-11-07 Zhengdao Wang

The multiple access channel (MAC) with many-user is a general model for massive machine type communications. In this paradigm, the number of users may be comparable or even larger than the coding blocklength $n$. In contrast, classical MAC…

Information Theory · Computer Science 2019-08-12 Fan Wei , Yongpeng Wu , Wen Chen , Yanlin Geng , Giuseppe Caire

Base stations with a large number of transmit antennas have the potential to serve a large number of users simultaneously at higher rates. They also promise a lower power consumption due to coherent combining at the receiver. However, the…

Information Theory · Computer Science 2013-07-17 Narayanan Krishnan , Roy D. Yates , Narayan B. Mandayam

In this paper, a downlink communication system, in which a Base Station (BS) equipped with $M$ antennas communicates with $N$ users each equipped with $K$ receive antennas, is considered. An efficient suboptimum algorithm is proposed for…

Information Theory · Computer Science 2007-07-13 Alireza Bayesteh , Amir Keyvan Khandani

Massive MIMO systems promise high data rates by employing large number of antennas, which also increases the power usage of the system as a consequence. This creates an optimization problem which specifies how many antennas the system…

Information Theory · Computer Science 2017-06-15 Masoud Arash , Ehsan Yazdian , Mohammad sadegh Fazel , Glauber Brante , Muhammad Imran
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