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Jamming Massive MIMO using Massive MIMO: Asymptotic separability results

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
Consider the uplink transmission of a single-cell multi-user multiple-input multiple-output (MIMO) system with K single-antenna users and a base station (BS) equipped with a very large number of antennas denoted by M. Consider a jamming device with N > M distributed antennas attempting to deteriorate the communication between the users and the BS.
Julia Vinogradova   +2 more
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Distributed Massive MIMO Downlink

ICC 2019 - 2019 IEEE International Conference on Communications (ICC), 2019
The feasibility of adopting distributed massive multiple-input multiple-output (D-MMIMO) for mitigating the achievable rate loss incurred by spatially-correlated fading at space-constrained user antenna arrays when served by co-located massive MIMO (C-MMIMO) counterpart is investigated.
Dhanushka Kudathanthirige   +1 more
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Massive But Few Active MIMO

IEEE Transactions on Vehicular Technology, 2016
In this paper, an emerging wireless communication concept, which is termed as spatial modulation (SM) for large-scale multiple-input–multiple-output (MIMO), is considered. The results show that from the information-theoretic perspective, SM achieves capacity comparable to the open-loop MIMO capacity, although a subset of transmit antennas is activated ...
Dushyantha A. Basnayaka   +2 more
openaire   +1 more source

Blocking probability of massive MIMO: What is the capacity of a massive MIMO IoT system?

Journal of the Franklin Institute, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Byung Moo Lee, Hong Yang 0001
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Massive MIMO for mmWave systems

2014 48th Asilomar Conference on Signals, Systems and Computers, 2014
The large bandwidths available at the millimeter wave (mmWave) carrier frequencies (e.g., 30–100 GHz) have sparked significant interest in developing cellular systems in those bands to meet the ever-increasing demand for high data rates. Large-scale antenna arrays with tens or hundreds of antennas are envisioned to be a prerequisite for operating in ...
Frederick W. Vook   +2 more
openaire   +1 more source

Load modulated massive MIMO

2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2014
We propose a new hardware architecture for cost-and size-effective implementation of massive MIMO transmitters based on load modulation that is fully compatible with standard receiver architectures. With load modulation, a massive MIMO transmitter can be driven by a single power amplifier operating at constant envelope.
Ralf R. Müller   +2 more
openaire   +1 more source

Massive MIMO in sparse channels

2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2014
Massive multi-user multiple-input multiple-output (MU-MIMO) systems are cellular networks where the base stations (BSs) are equipped with hundreds of antennas, N, and communicate with tens of mobile stations (MSs), K, such that, N » K » 1. Contrary to most prior works, in this paper, we consider the uplink of a single-cell massive MIMO system operating
Nikolaos Kolomvakis   +2 more
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Massive MIMO

2020
Massive multiple-input multiple-output (MIMO) technology has become one of the key technologies for fifth generation (5G) wireless systems and beyond due to its potential to offer high spectral efficiency simultaneously to many users, with simple signal processing. These remarkable gains are obtained through the use of many antennas at the base station
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Spatial modulation for massive MIMO

2015 IEEE International Conference on Communications (ICC), 2015
Multiple-input multiple-output (MIMO) systems can increase wireless link capacity without requiring additional bandwidth and power. On the one hand, MIMO systems heavily depend on channel state information (CSI) at the receiver. It has also been shown that CSI at the transmitter (CSIT) can improve the link capacity and reliability considerably but with
Dushyantha A. Basnayaka, Harald Haas
openaire   +1 more source

Quantized beamforming in Massive MIMO

2015 49th Annual Conference on Information Sciences and Systems (CISS), 2015
We investigate the effects of quantized beamforming on the capacity of a Massive MIMO by deriving explicit performance formulas. Our approach is applicable to a large class of quantizations, including PSK, QAM and polar quantizations. We show that with any degree of quantization, the beamforming gain grows linearly with the number of transmit antennas.
Hong Yang 0001, Thomas L. Marzetta
openaire   +1 more source

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