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Related papers: Area Spectral Efficiency and SINR Scaling Laws in …

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We study the scaling laws of the signal-to-interference-plus-noise ratio (SINR) and the area spectral efficiency (ASE) in multi-antenna cellular networks, where the number of antennas scales with the base station (BS) spatial density…

Information Theory · Computer Science 2020-04-20 Ahmad AlAmmouri , Jeffrey G. Andrews , Francois Baccelli

We study how dense multi-antenna millimeter wave (mmWave) cellular network performance scales in terms of the base station (BS) spatial density $\lambda$, by studying the signal-to-interference-plus-noise ratio (SINR) and the area spectral…

Information Theory · Computer Science 2020-07-01 Ahmad AlAmmouri , Manan Gupta , Francois Baccelli , Jeffrey G. Andrews

In this paper, we investigate the spectral efficiency (SE) of massive multiple-input multiple-output (MIMO) systems with a large number of antennas at the base station (BS) accounting for physical space constraints. In contrast to the vast…

Information Theory · Computer Science 2016-11-17 Jiayi Zhang , Linglong Dai , Michail Matthaiou , Christos Masouros , Shi Jin

This paper considers large random wireless networks where transmit-and-receive node pairs communicate within a certain range while sharing a common spectrum. By modeling the spatial locations of nodes based on stochastic geometry,…

Information Theory · Computer Science 2014-10-29 Namyoon Lee , Francois Baccelli , Robert W. Heath

This work provides a comprehensive scaling law based performance analysis for multi-cell multi-user massive multiple-input-multiple-output (MIMO) downlink systems. Imperfect channel state information (CSI), pilot contamination, and channel…

Information Theory · Computer Science 2017-07-25 Cheng Zhang , Yindi Jing , Yongming Huang , Luxi Yang

This work provides a comprehensive scaling law and performance analysis for multi-user massive MIMO relay networks, where the relay is equipped with massive antennas and uses MRC/MRT for low-complexity processing. CSI error is considered.…

Networking and Internet Architecture · Computer Science 2016-06-27 Qian Wang , Yindi Jing

This paper is on the spectral efficiency (SE) of a dense multi-cell massive multiple-input multiple-output (MIMO). The channels are spatially correlated and the multi-slope path loss model is considered. In our framework, the channel state…

Information Theory · Computer Science 2020-11-05 FahimeSadat Mirhosseini , Aliakbar Tadaion , S. Mohammad Razavizadeh

Massive multiple-input multiple-output (MIMO) systems are cellular networks where the base stations (BSs) are equipped with unconventionally many antennas, deployed on co-located or distributed arrays. Huge spatial degrees-of-freedom are…

Information Theory · Computer Science 2015-04-30 Emil Björnson , Michail Matthaiou , Mérouane Debbah

We consider the problem of coordinated multi- cell downlink beamforming in massive multiple input multiple output (MIMO) systems consisting of N cells, Nt antennas per base station (BS) and K user terminals (UTs) per cell. Specifically, we…

Information Theory · Computer Science 2015-04-09 Subhash Lakshminarayana , Mohamad Assaad , Merouane Debbah

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

An asymptotic technique is developed to find the Signal-to-Interference-plus-Noise-Ratio (SINR) and spectral efficiency of a link with N receiver antennas in wireless networks with non-homogeneous distributions of nodes. It is found that…

Information Theory · Computer Science 2015-03-17 Siddhartan Govindasamy , Daniel W. Bliss

This paper considers base station (BS) cooperation in the form of coordinated beamforming, focusing on min-max fairness in the power usage subject to target SINR constraints. We show that the optimal beamforming strategies have an…

Information Theory · Computer Science 2012-02-06 Randa Zakhour , Stephen V. Hanly

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

In this paper, we examine the benefits of multiple antenna communication in random wireless networks, the topology of which is modeled by stochastic geometry. The setting is that of the Poisson bipolar model introduced in [1], which is a…

Information Theory · Computer Science 2016-08-23 Junse Lee , Namyoon Lee , Francois Baccelli

This paper investigates an intelligent reflecting surface (IRS)-aided multi-cell multiple-input single-output (MISO) system consisting of several multi-antenna base stations (BSs) each communicating with a single-antenna user, in which an…

Signal Processing · Electrical Eng. & Systems 2020-02-10 Hailiang Xie , Jie Xu , Ya-Feng Liu

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

The use of large arrays might be the solution to the capacity problems in wireless communications. The signal-to-noise ratio (SNR) grows linearly with the number of array elements $N$ when using Massive MIMO receivers and half-duplex…

Information Theory · Computer Science 2023-02-22 Emil Björnson , Luca Sanguinetti

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

Opportunistic scheduling (OS) schemes have been proposed previously by the authors for multiuser MIMO-SDMA downlink systems with linear combining. In particular, it has been demonstrated that significant performance improvement can be…

Information Theory · Computer Science 2016-11-17 Man-On Pun , Visa Koivunen , H. Vincent Poor

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
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