Channel-aware scheduling and link adaptation (LA) methods are widely considered to be crucial for realizing high data rates in wireless networks. Multi-carrier systems that spread...
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Periodic and aperiodic tasks co-exist in many realtime systems. The periodic tasks typically arise from sensor data or control loops, while the aperiodic tasks generally arise fro...
Reliability-aware power management (RAPM) has been a recent research focus due the negative effects of the popular power management technique dynamic voltage and frequency scaling ...
Abstract--We consider the problem of delay-efficient scheduling in general multihop networks. While the class of max-weight type algorithms are known to be throughput optimal for t...