activity
20122026
most citedMassive MIMO Systems with Non-Ideal Hardware: Energy Efficiency, Estimation, and Capacity Limits

963 citations · 4.2k across the 63 of their papers we have counts for

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Showing 2015Show all

11 papers · 1 filter

cs.IT2015

Random Access Protocol for Massive MIMO: Strongest-User Collision Resolution (SUCR)

Emil Björnson, Elisabeth de Carvalho, Erik G. Larsson +1

Wireless networks with many antennas at the base stations and multiplexing of many users, known as Massive MIMO systems, are key to handle the rapid growth of data traffic. As the…

cs.NI2015

Energy-Efficient Load-Adaptive Massive MIMO

M. M. Aftab Hossain, Cicek Cavdar, Emil Björnson +1

Massive MIMO is a promising technique to meet the exponential growth of global mobile data traffic demand. However, contrary to the current systems, energy consumption of next gene…

cs.IT2015★ 2 cited

Three Practical Aspects of Massive MIMO: Intermittent User Activity, Pilot Synchronism, and Asymmetric Deployment

Emil Björnson, Erik G. Larsson

This paper considers three aspects of Massive MIMO (multiple-input multiple-output) communication networks that have received little attention in previous works, but are important…

cs.IT2015★ 1 cited

Random Access for Massive MIMO Systems with Intra-Cell Pilot Contamination

Elisabeth de Carvalho, Emil Bjornson, Erik G. Larsson +1

Massive MIMO systems, where the base stations are equipped with hundreds of antenna elements, are an attractive way to attain unprecedented spectral efficiency in future wireless n…

cs.IT2015★ 34 cited

Adaptive Pilot Clustering in Heterogeneous Massive MIMO Networks

Rami Mochaourab, Emil Björnson, Mats Bengtsson

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 ortho…

cs.IT2015★ 84 cited

Achievable Rate of Rician Large-Scale MIMO Channels with Transceiver Hardware Impairments

Jiayi Zhang, Linglong Dai, Xinling Zhang +2

Transceiver hardware impairments (e.g., phase noise, in-phase/quadrature-phase (I/Q) imbalance, amplifier non-linearities, and quantization errors) have obvious degradation effects…

cs.IT2015★ 138 cited

On the Feasibility of Wireless Energy Transfer Using Massive Antenna Arrays

Salil Kashyap, Emil Björnson, Erik G. Larsson

We illustrate potential benefits of using massive antenna arrays for wireless energy transfer (WET). Specifically, we analyze probability of outage in WET over fading channels when…

cs.IT2015★ 40 cited

Energy Efficiency and Sum Rate when Massive MIMO meets Device-to-Device Communication

Serveh Shalmashi, Emil Björnson, Marios Kountouris +2

This paper considers a scenario of short-range communication, known as device-to-device (D2D) communication, where D2D users reuse the downlink resources of a cellular network to t…

cs.IT2015★ 24 cited

ML Detection in Phase Noise Impaired SIMO Channels with Uplink Training

Antonios Pitarokoilis, Emil Björnson, Erik G. Larsson

The problem of maximum likelihood (ML) detection in training-assisted single-input multiple-output (SIMO) systems with phase noise impairments is studied for two different scenario…

cs.IT2015★ 9 cited

Deploying Dense Networks for Maximal Energy Efficiency: Small Cells Meet Massive MIMO

Emil Björnson, Luca Sanguinetti, Marios Kountouris

How would a cellular network designed for maximal energy efficiency look like? To answer this fundamental question, tools from stochastic geometry are used in this paper to model f…

cs.IT2015★ 2 cited

Optimal Detection in Training Assisted SIMO Systems with Phase Noise Impairments

Antonios Pitarokoilis, Emil Björnson, Erik G. Larsson

In this paper, the problem of optimal maximum likelihood detection in a single user single-input multiple-output (SIMO) channel with phase noise at the receiver is considered. The…