From the 1 of 35 linked papers with an AI index.
14 papers · 1 filter
Green Cell-Free Massive MIMO for ISAC: Joint Cloud, Fronthaul and Radio Resource Allocation
Zinat Behdad, Ãzlem TuÄfe Demir, Özlem Tuğfe Demir +3
The paper proposes a cross‑layer framework that jointly optimizes transmit power, AP operation, user‑sensing association, and cloud/fronthaul resources in cell‑free massive MIMO sy…
Energy-Efficient Dual-Band Communication: How to Allocate Traffic to Sub-THz Carriers?
Anders Enqvist, Emil Björnson, Cicek Cavdar
As 6G wireless networks transition toward sub-Terahertz (sub-THz) frequencies to satisfy extreme capacity demands, managing the trade-off between massive bandwidth and power consum…
Interplay between VAoI, Packet Error Rate, and Delay for Energy-Efficient Remote Monitoring
Yasaman Khorsandmanesh, Zinat Behdad, Emil Bjornson +1
This letter studies energy optimization of short-packet transmission for event-triggered remote monitoring over finite-blocklength wireless links. A wireless sensor node generates…
RIS-Assisted Survivable Backhaul Recovery in Small-Cell Systems
Zhenyu Li, Ãzlem TuÄfe Demir, Emil Björnson +1
The increasing densification of small-cell networks substantially expands cable-based backhaul infrastructure, creating heightened vulnerability to cable link failures. This paper…
Energy Saving for Cell-Free Massive MIMO Networks: A Multi-Agent Deep Reinforcement Learning Approach
Qichen Wang, Keyu Li, Ozan Alp Topal +3
This paper focuses on energy savings in downlink operation of cell-free massive MIMO (CF mMIMO) networks under dynamic traffic conditions. We propose a multi-agent deep reinforceme…
EARL: Energy-Aware Adaptive Antenna Control with Reinforcement Learning in O-RAN Cell-Free Massive MIMO Networks
Zilin Ge, Ozan Alp Topal, Irshad Ahmad Meer +2
Cell-free massive multi-input multi-output (MIMO) promises uniform high performance across the network, but also brings a high energy cost due to joint transmission from distribute…