Pages that link to "Item:Q1737692"
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The following pages link to Multi-sensor transmission power control for remote estimation through a SINR-based communication channel (Q1737692):
Displaying 19 items.
- State estimation with remote sensors and intermittent transmissions (Q450715) (← links)
- Dynamic sensor transmission power scheduling for remote state estimation (Q463913) (← links)
- Data-driven power control for state estimation: a Bayesian inference approach (Q490853) (← links)
- Maximizing the minimum SINR of V-BLAST system by power control (Q971349) (← links)
- Improved results on transmission power control for remote state estimation (Q1680666) (← links)
- Transmit power control and remote state estimation with sensor networks: a Bayesian inference approach (Q1716540) (← links)
- Optimal DoS attack scheduling for multi-sensor remote state estimation over interference channels (Q2030995) (← links)
- Transmission scheduling for multi-process multi-sensor remote estimation via approximate dynamic programming (Q2063834) (← links)
- Transmission power allocation for remote estimation with multi-packet reception capabilities (Q2125551) (← links)
- Power control for multi-sensor remote state estimation over interference channel (Q2327353) (← links)
- Co-design of jump estimators and transmission policies for wireless multi-hop networks with fading channels (Q2409214) (← links)
- Interference game for intelligent sensors in cyber-physical systems (Q2665160) (← links)
- Multi-channel transmission scheduling with hopping scheme under uncertain channel states (Q2694160) (← links)
- Sensor selection for remote state estimation with QoS requirement constraints (Q6073042) (← links)
- Optimal transmission strategy for multiple Markovian fading channels: existence, structure, and approximation (Q6088373) (← links)
- Probabilistic stability of power control systems with Nakagami-m fading channels (Q6115775) (← links)
- Optimal transmission scheduling for remote state estimation in CPSs with energy harvesting two-hop relay networks (Q6160768) (← links)
- Optimal sensor scheduling for state estimation under limited channel resources (Q6177190) (← links)
- Adaptive anti‐disturbance sampling control of autonomous surface vehicles based on discrete‐time concurrent learning extended state observers (Q6193178) (← links)