6G for vehicle-to-everything (V2X) communications: Enabling technologies, challenges, and opportunities
We are on the cusp of a new era of connected autonomous vehicles with unprecedented
user experiences, tremendously improved road safety and air quality, highly diverse …
user experiences, tremendously improved road safety and air quality, highly diverse …
6G enabled smart infrastructure for sustainable society: Opportunities, challenges, and research roadmap
The 5G wireless communication network is currently faced with the challenge of limited data
speed exacerbated by the proliferation of billions of data-intensive applications. To address …
speed exacerbated by the proliferation of billions of data-intensive applications. To address …
Intelligent multi-modal sensing-communication integration: Synesthesia of machines
In the era of sixth-generation (6G) wireless communications, integrated sensing and
communications (ISAC) is recognized as a promising solution to upgrade the physical …
communications (ISAC) is recognized as a promising solution to upgrade the physical …
Mobility support for millimeter wave communications: Opportunities and challenges
Millimeter-wave (mmWave) communication technology offers a potential and promising
solution to support 5G and B5G wireless networks in dynamic scenarios and applications …
solution to support 5G and B5G wireless networks in dynamic scenarios and applications …
Beam management in ultra-dense mmWave network via federated reinforcement learning: An intelligent and secure approach
Deploying ultra-dense networks that operate on millimeter wave (mmWave) band is a
promising way to address the tremendous growth on mobile data traffic. However, one key …
promising way to address the tremendous growth on mobile data traffic. However, one key …
A survey of millimeter-wave communication: Physical-layer technology specifications and enabling transmission technologies
Millimeter-wave (mmWave) frequency bands, which offer abundant underutilized spectral
resources, have been explored and exploited in the past several years to meet the …
resources, have been explored and exploited in the past several years to meet the …
Blockage prediction using wireless signatures: Deep learning enables real-world demonstration
Overcoming the link blockage challenges is essential for enhancing the reliability and
latency of millimeter wave (mmWave) and sub-terahertz (sub-THz) communication networks …
latency of millimeter wave (mmWave) and sub-terahertz (sub-THz) communication networks …
Adaptive deep learning strategy with red deer algorithm for sparse channel estimation and hybrid precoding in millimeter wave massive MIMO-OFDM systems
N Unnisa, M Tatineni - Wireless Personal Communications, 2022 - Springer
Millimeter-wave massive multiple-input multiple-output (MIMO) employs a lens antenna
array for minimizing the radio frequency (RF) chains count, yet it remains as a challenge …
array for minimizing the radio frequency (RF) chains count, yet it remains as a challenge …
Deep learning-based user activity detection and channel estimation in grant-free NOMA
In the uplink machine-type communication (MTC) system, a combination of grant-free
transmission and non-orthogonal multiple access (NOMA) emerges to reduce the control …
transmission and non-orthogonal multiple access (NOMA) emerges to reduce the control …
Acquisition of channel state information for mmWave massive MIMO: Traditional and machine learning-based approaches
The accuracy of channel state information (CSI) acquisition directly affects the performance
of millimeter wave (mmWave) communications. In this article, we provide an overview on …
of millimeter wave (mmWave) communications. In this article, we provide an overview on …