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The interference between two active mmWave links

The interference between two active mmWave links

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Fig. 1: An illustration of the scheduling decisions made by the...
Fig. 2: A multihop mmWave wireless backhaul with five IAB nodes and one BS
Fig. 3: The interference between two active mmWave links
Fig. 4: ORAN deployment scenario [5]
+1 Fig. 5: Example of the convergence of the reward function for the...
Using Deep Reinforcement Learning for mmWave Real-Time Scheduling
Preprint
Full-text available
  • Oct 2022
We study the problem of routing and scheduling of real-time flows over a multi-hop millimeter wave (mmWave) mesh. We develop a model-free deep reinforcement learning algorithm that determines which subset of the mmWave links should be activated during each time slot and using what power level. The proposed algorithm, called Adaptive Activator RL (A...
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Contexts in source publication

Context 1
... í µí¼‚ is a uniform thermal noise. í µí°· T is defined similarly using the transmit angle í µí¼ƒ T (refer to Fig 3). ...
Context 2
... number of bits that can be transmitted over í µí±™ is given by í µí± í µí±™ = í µí° ¶ í µí±™ Δí µí±¡, where Δí µí±¡ is the configurable slot duration. Figure 3 illustrates the interference between links í µí±™ and link í µí±™ . When network interference level reaches 100%, only one link can transmit at a time. ...
Context 3
... í µí¼‚ is a uniform thermal noise. í µí°· T is defined similarly using the transmit angle í µí¼ƒ T (refer to Fig 3). ...
Context 4
... number of bits that can be transmitted over í µí±™ is given by í µí± í µí±™ = í µí° ¶ í µí±™ Δí µí±¡, where Δí µí±¡ is the configurable slot duration. Figure 3 illustrates the interference between links í µí±™ and link í µí±™ . When network interference level reaches 100%, only one link can transmit at a time. ...

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