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At the dawn of generative AI era: A tutorial-cum-survey on new frontiers in 6G wireless intelligence
As we transition from the 5G epoch, a new horizon beckons with the advent of 6G, seeking a
profound fusion with novel communication paradigms and emerging technological trends …
profound fusion with novel communication paradigms and emerging technological trends …
Rendezvous of ISAC and NOMA: Progress and prospects of next-generation multiple access
Integrated sensing and communication (ISAC) has become a key strategy, where a
comprehensive framework transcends a single radar functionality by incorporating various …
comprehensive framework transcends a single radar functionality by incorporating various …
Explainable and robust artificial intelligence for trustworthy resource management in 6G networks
Artificial intelligence (AI) is expected to be an integral part of radio resource management
(RRM) in sixth-generation (6G) networks. However, the opaque nature of complex deep …
(RRM) in sixth-generation (6G) networks. However, the opaque nature of complex deep …
Joint user-target pairing, power control, and beamforming for NOMA-aided ISAC networks
Integrated sensing and communication (ISAC) emerges as a pivotal solution for augmenting
spectrum efficiency and fostering synergies between sensing and communication …
spectrum efficiency and fostering synergies between sensing and communication …
Decentralized interference-aware codebook learning in millimeter wave MIMO systems
Beam codebooks are integral components of future millimeter wave MIMO systems.
Therefore, it is critical to optimize these codebooks for efficient and reliable communications …
Therefore, it is critical to optimize these codebooks for efficient and reliable communications …
Deep reinforcement learning based beamforming codebook design for RIS-aided mmWave systems
Reconfigurable intelligent surfaces (RISs) are envisioned to play a pivotal role in future
wireless systems with the capability of enhancing propagation environments by intelligently …
wireless systems with the capability of enhancing propagation environments by intelligently …
Multi-agent DRL for distributed codebook design in RIS-aided cell-free massive MIMO networks
This paper proposes an innovative approach for enhancing network capacity and coverage
by integrating cell-free massive multiple-input multiple-output (CF-mMIMO) networks with …
by integrating cell-free massive multiple-input multiple-output (CF-mMIMO) networks with …
Joint Precoding and AP Selection for Energy Efficient RIS-aided Cell-Free Massive MIMO Using Multi-agent Reinforcement Learning
Cell-free (CF) massive multiple-input multiple-output (mMIMO) and reconfigurable intelligent
surface (RIS) are two advanced transceiver technologies for realizing future sixth-generation …
surface (RIS) are two advanced transceiver technologies for realizing future sixth-generation …
Joint Codebook Selection and MCS Adaptation for MmWave eMBB Services Based on Deep Reinforcement Learning
This article investigates the joint codebook selection and modulation-coding-scheme (MCS)
adaptation issue for the enhanced mobile broadband (eMBB) service in millimeter-wave …
adaptation issue for the enhanced mobile broadband (eMBB) service in millimeter-wave …
Site-Specific Beam Codebook Design for Distributed RIS Networks Using Deep Reinforcement Learning
Reconfigurable intelligent surfaces (RISs) have recently been identified as a prominent
technology capable of augmenting propagation environments by intelligently redirecting …
technology capable of augmenting propagation environments by intelligently redirecting …