Deep learning for massive MIMO uplink detectors
MA Albreem, AH Alhabbash… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Detection techniques for massive multiple-input multiple-output (MIMO) have gained a lot of
attention in both academia and industry. Detection techniques have a significant impact on …
attention in both academia and industry. Detection techniques have a significant impact on …
Cell-free massive MIMO with radio stripes and sequential uplink processing
ZH Shaik, E Björnson… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Cell-free Massive MIMO (mMIMO) is envisaged to be a next-generation technology beyond
5G with its high spectral efficiency and superior spatial diversity as compared to that of …
5G with its high spectral efficiency and superior spatial diversity as compared to that of …
Signal processing techniques for 6G
Abstract 6G networks have the burden to provide not only higher performance compared to
5G, but also to enable new service domains as well as to open the door over a new …
5G, but also to enable new service domains as well as to open the door over a new …
Decentralized massive MIMO processing exploring daisy-chain architecture and recursive algorithms
Algorithms for Massive MIMO uplink detection and downlink precoding typically rely on a
centralized approach, by which baseband data from all antenna modules are routed to a …
centralized approach, by which baseband data from all antenna modules are routed to a …
Data detection in decentralized and distributed massive MIMO networks
In order to meet the user demands in performance and quality of services (QoS) for beyond
fifth generation (B5G) communication systems, research on decentralized and distributed …
fifth generation (B5G) communication systems, research on decentralized and distributed …
Improving cell-free massive MIMO by local per-bit soft detection
C D'Andrea, EG Larsson - IEEE Communications Letters, 2021 - ieeexplore.ieee.org
In this letter, we consider the uplink of a cell-free Massive multiple-input multiple-output
(MIMO) network where each user is decoded by a subset of access points (APs). An …
(MIMO) network where each user is decoded by a subset of access points (APs). An …
Trade-offs in decentralized multi-antenna architectures: The WAX decomposition
Current research on multi-antenna architectures is trending towards increasing the amount
of antennas in the base stations (BSs) so as to increase the spectral efficiency. As a result …
of antennas in the base stations (BSs) so as to increase the spectral efficiency. As a result …
Distributed and scalable uplink processing for LIS: Algorithm, architecture, and design trade-offs
The Large Intelligent Surface (LIS) is a promising technology in the areas of wireless
communication, remote sensing and positioning. It consists of a continuous radiating surface …
communication, remote sensing and positioning. It consists of a continuous radiating surface …
Survey on Resource Allocation for Future 6G Network Architectures: Cell-Free and Radio Stripe Technologies
Future beyond fifth-generation (B5G) and sixth-generation (6G) communication systems
require a higher quality of service (QoS) along with meeting multiple objectives and traffic …
require a higher quality of service (QoS) along with meeting multiple objectives and traffic …
Cell-free Massive MIMO with Sequential Fronthaul Architecture and Limited Memory Access Points
Cell-free massive multiple-input multiple-output (CFmMIMO) is a paradigm that can improve
users' spectral efficiency (SE) far beyond traditional cellular networks. Increased spatial …
users' spectral efficiency (SE) far beyond traditional cellular networks. Increased spatial …