[HTML][HTML] Approximate computing in B5G and 6G wireless systems: A survey and future outlook
As modern 5G systems are being deployed, researchers question whether they are sufficient
for the oncoming decades of technological evolution. Growing numbers of interconnected …
for the oncoming decades of technological evolution. Growing numbers of interconnected …
Power allocation in ultra-dense networks through deep deterministic policy gradient
J Liu, H Zhang - IEEE Wireless Communications Letters, 2022 - ieeexplore.ieee.org
The existing reinforcement learning-based downlink power allocation (PA) schemes mostly
consider the power optimization space as a discrete value space, however, their results will …
consider the power optimization space as a discrete value space, however, their results will …
Multi-Branch Unsupervised Learning-Based Beamforming in mm-Wave Massive MIMO Systems With Inaccurate Information
J Liu, H Zhang - IEEE Transactions on Green Communications …, 2024 - ieeexplore.ieee.org
In mobile millimeter wave (mm-Wave) systems, most deep learning-based beamforming
models only input channel state information (CSI). However, as user speed increases, CSI …
models only input channel state information (CSI). However, as user speed increases, CSI …
Spatiotemporal correlation and joint coverage probability in ultra‐dense mobile networks
Z Li, Y He, D Yi, J Lv - Transactions on Emerging …, 2024 - Wiley Online Library
In the existing literature, for the spatial‐temporal characteristic of ultra‐dense network
performances, the joint coverage probability is used to measure the correlation between …
performances, the joint coverage probability is used to measure the correlation between …