Massive MIMO detection techniques: A survey

MA Albreem, M Juntti… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) is a key technology to meet the user demands
in performance and quality of services (QoS) for next generation communication systems …

Leveraging quantum annealing for large MIMO processing in centralized radio access networks

M Kim, D Venturelli, K Jamieson - … of the ACM special interest group on …, 2019 - dl.acm.org
User demand for increasing amounts of wireless capacity continues to outpace supply, and
so to meet this demand, significant progress has been made in new MIMO wireless physical …

Low complexity linear detectors for massive MIMO: A comparative study

MA Albreem, W Salah, A Kumar, MH Alsharif… - IEEE …, 2021 - ieeexplore.ieee.org
Massive multiple-input multiple-output (M-MIMO) is a significant pillar in fifth generation (5G)
networks where a large number of antennas is deployed. It provides massive advantages to …

Video foreground extraction using multi-view receptive field and encoder–decoder DCNN for traffic and surveillance applications

T Akilan, QMJ Wu, W Zhang - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
The automatic detection of foreground (FG) objects in videos is a demanding area of
computer vision, with essential applications in video-based traffic analysis and surveillance …

Massively concurrent non-orthogonal multiple access for 5G networks and beyond

RA Stoica, GTF De Abreu, T Hara, K Ishibashi - IEEE Access, 2019 - ieeexplore.ieee.org
We propose a new signal spreading-based non-orthogonal multiple access (NOMA)
schemes that exploits the frame-theoretic design principles to enable the efficient …

Enabling sphere decoding for SCMA

M Vameghestahbanati, E Bedeer… - IEEE …, 2017 - ieeexplore.ieee.org
In this letter, we propose a reduced-complexity optimal modified sphere decoding (MSD)
detection scheme for sparse code multiple access (SCMA). As SCMA systems are …

Soft-Output Deep LAS Detection for Coded MIMO Systems: A Learning-Aided LLR Approximation

A Ullah, W Choi, TM Berhane… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The multiple-input-multiple-output-orthogonal frequency division multiplexing (MIMO-OFDM)
receiver aims to softly decode the transmitted information from the observed received signal …

Deep learning aided low complex breadth-first tree search for MIMO detection

J Liao, J Zhao, F Gao, GY Li - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
In this paper, we propose a deep learning based breadth-first sphere decoding (SD) scheme
to reduce the detection complexity for multiple-input multiple-output (MIMO) communication …

Geosphere: Consistently turning MIMO capacity into throughput

K Nikitopoulos, J Zhou, B Congdon… - ACM SIGCOMM …, 2014 - dl.acm.org
This paper presents the design and implementation of Geosphere, a physical-and link-layer
design for access point-based MIMO wireless networks that consistently improves network …

An MMP-based approach for detection in large MIMO systems using sphere decoding

AK Sah, AK Chaturvedi - IEEE Wireless Communications …, 2016 - ieeexplore.ieee.org
Sphere decoders (SDs) are known to provide near maximum-likelihood performance in
multiple-input multiple-output systems. But their ability to provide good error performance …