Cell-free massive MIMO: A survey
S Elhoushy, M Ibrahim… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Towards a fully connected intelligent digital world, 5G and beyond networks experience a
new era of Internet of intelligence with connected people and things. This new era brings …
new era of Internet of intelligence with connected people and things. This new era brings …
Massive MIMO systems for 5G and beyond networks—overview, recent trends, challenges, and future research direction
The global bandwidth shortage in the wireless communication sector has motivated the
study and exploration of wireless access technology known as massive Multiple-Input …
study and exploration of wireless access technology known as massive Multiple-Input …
A tutorial on environment-aware communications via channel knowledge map for 6G
Sixth-generation (6G) mobile communication networks are expected to have dense
infrastructures, large antenna size, wide bandwidth, cost-effective hardware, diversified …
infrastructures, large antenna size, wide bandwidth, cost-effective hardware, diversified …
Deep learning for mmWave beam and blockage prediction using sub-6 GHz channels
M Alrabeiah, A Alkhateeb - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Predicting the millimeter wave (mmWave) beams and blockages using sub-6 GHz channels
has the potential of enabling mobility and reliability in scalable mmWave systems. Prior work …
has the potential of enabling mobility and reliability in scalable mmWave systems. Prior work …
Machine learning in beyond 5G/6G networks—State-of-the-art and future trends
Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important
role in realizing and optimizing 6G network applications. In this paper, we present a brief …
role in realizing and optimizing 6G network applications. In this paper, we present a brief …
Deep reinforcement learning for 5G networks: Joint beamforming, power control, and interference coordination
The fifth generation of wireless communications (5G) promises massive increases in traffic
volume and data rates, as well as improved reliability in voice calls. Jointly optimizing …
volume and data rates, as well as improved reliability in voice calls. Jointly optimizing …
Vision-aided 6G wireless communications: Blockage prediction and proactive handoff
G Charan, M Alrabeiah… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The sensitivity to blockages is a key challenge for millimeter wave and terahertz networks in
5G and beyond. Since these networks mainly rely on line-of-sight (LOS) links, sudden link …
5G and beyond. Since these networks mainly rely on line-of-sight (LOS) links, sudden link …
Deep learning-based downlink channel prediction for FDD massive MIMO system
In a frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO)
system, the acquisition of downlink channel state information (CSI) at base station (BS) is a …
system, the acquisition of downlink channel state information (CSI) at base station (BS) is a …
Millimeter wave base stations with cameras: Vision-aided beam and blockage prediction
M Alrabeiah, A Hredzak… - 2020 IEEE 91st vehicular …, 2020 - ieeexplore.ieee.org
This paper investigates a novel research direction that leverages vision to help overcome
the critical wireless communication challenges. In particular, this paper considers millimeter …
the critical wireless communication challenges. In particular, this paper considers millimeter …
A review on machine learning and deep learning for various antenna design applications
The next generation of wireless communication networks will rely heavily on machine
learning and deep learning. In comparison to traditional ground-based systems, the …
learning and deep learning. In comparison to traditional ground-based systems, the …