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The uplink performance of massive multiple-input-multiple-output (MIMO) systems where the base stations (BS) employ low-resolution analog-to-digital converters (ADCs) is analyzed. A high performance MMSE receiver that takes both additive…

Signal Processing · Electrical Eng. & Systems 2017-11-30 Chao Wei , Zaichen Zhang

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

This paper proposes a stochastic geometry framework to analyze the SINR and rate performance in a large-scale uplink massive MIMO network. Based on the model, expressions are derived for spatial average SINR distributions over user and base…

Information Theory · Computer Science 2016-04-05 Tianyang Bai , Robert W. Heath

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

Large-scale multiple-input multiple-output (MIMO) communication systems can bring substantial improvement in spectral efficiency and/or energy efficiency, due to the excessive degrees-of-freedom and huge array gain. However, large-scale…

Information Theory · Computer Science 2014-08-20 Xinlin Zhang , Michail Matthaiou , Mikael Coldrey , Emil , Björnson

In this paper we first derived the mathematical expression for lower bound spectral efficiency (SE) calculation for zero-force (ZF), and minimum mean square error (MMSE). Secondly, we calculated the simulation SE with three algorithms for…

Signal Processing · Electrical Eng. & Systems 2019-02-14 Tasher Ali Sheikh , Joyatri Bora , Md. Anwar Hussain

Massive MIMO, a candidate for 5G technology, promises significant gains in wireless data rates and link reliability by using large numbers of antennas (more than 64) at the base transceiver station (BTS). Extra antennas help by focusing the…

Information Theory · Computer Science 2016-05-11 Garimella Rama Murthy , Kunal Sankhe

This paper studies the performance of single-input multiple-output (SIMO) systems under receive antenna selection (RAS) and BPSK/QPSK modulations. At the receiver, a subset of branches are selected and combined using maximal-ratio combining…

Signal Processing · Electrical Eng. & Systems 2019-07-16 Chongjun Ouyang , Zeliang Ou , Pei Yang , Lu Zhang , Hongwen Yang , Xin Zhang

In this paper, we investigate the uplink performance of cell-free (CF) extremely large-scale multiple-input-multipleoutput (XL-MIMO) systems, which is a promising technique for future wireless communications. More specifically, we consider…

Information Theory · Computer Science 2023-02-15 Hao Lei , Zhe Wang , Huahua Xiao , Jiayi Zhang , Bo Ai

Both antenna selection and spatial modulation allow for low-complexity MIMO transmitters when the number of RF chains is much lower than the number of transmit antennas. In this manuscript, we present a quantitative performance comparison…

Information Theory · Computer Science 2019-04-04 Bernhard Gäde , Ali Bereyhi , Saba Asaad , Ralf R. Müller

One of focuses in green communication studies is the energy efficiency (EE) of massive multiple-input multiple-output (MIMO) systems. Although the massive MIMO technology can improve the spectral efficiency (SE) of cellular networks by…

Networking and Internet Architecture · Computer Science 2019-02-04 Shuang Zheng , Jing Yang , Xiaohu Ge , Yonghui Li , Lin Tian , Jinglin Shi

In this paper, we study the spectral efficiency (SE) of a multi-cell massive multiple-input multiple-output (MIMO) system with a spatially correlated Rician channel. The correlation between least squares (LS) estimator and its error…

Information Theory · Computer Science 2020-05-12 Mohammad Hadi Sadraei , Mohammad Sadegh Fazel , Ali-Mohammad Doost-Hoseini

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

The ergodic spectral efficiency (SE) in interference-limited multiple-input multiple-output (MIMO) downlink cellular systems is characterized based on stochastic geometry. A single user is served by using singular value decomposition…

Information Theory · Computer Science 2016-11-01 Jinseok Choi , Jeonghun Park , Brian L. Evans

To improve signal-to-interference ratio (SIR) and make better use of file diversity provided by random caching, we consider two types of linear receivers, i.e., maximal ratio combining (MRC) receiver and partial zero forcing (PZF) receiver,…

Information Theory · Computer Science 2018-01-10 Dongdong Jiang , Ying Cui

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

Linear receivers are an attractive low-complexity alternative to optimal processing for multi-antenna MIMO communications. In this paper we characterize the information-theoretic performance of MIMO linear receivers in two different…

Information Theory · Computer Science 2016-11-18 K. Raj Kumar , G. Caire , A. L. Moustakas

The use of large-scale antenna arrays can bring substantial improvements in energy and/or spectral efficiency to wireless systems due to the greatly improved spatial resolution and array gain. Recent works in the field of massive…

Information Theory · Computer Science 2014-12-10 Emil Björnson , Jakob Hoydis , Marios Kountouris , Mérouane Debbah

Massive multiple-input multiple-output (MIMO) is a key technology for improving the spectral and energy efficiency in 5G-and-beyond wireless networks. For a tractable analysis, most of the previous works on Massive MIMO have been focused on…

Information Theory · Computer Science 2021-09-14 Trinh Van Chien , Hien Quoc Ngo , Symeon Chatzinotas , Björn Ottersten , Merouane Debbah

This paper characterizes the performance of cellular networks employing multiple antenna open-loop spatial multiplexing techniques. We use a stochastic geometric framework to model distance depended inter cell interference. Using this…

Information Theory · Computer Science 2016-11-17 Sreejith T. Veetil , Kiran Kuchi , Radha Krishna Ganti