JCAS-MARL: Joint Communication and Sensing UAV Networks via Resource-Constrained Multi-Agent Reinforcement Learning
arXiv 2603.20265•5f125c7fced69868e981aec7ce7a6cb781332ad2deea9c400e4754b4fcd8c6ce
DQN-schedulingJCASMDS-codesOFDMRLNCUAVV2Vcoding-theorycongestion-controlenergy-managementlink-diversitylow-latency-deliverymean-fieldmulti-agent reinforcement learningnetwork-codingpricing-modelsresiliencesensingsuper-regular-matricestiming-jittertransformer-forecastingtransport/multipathvariable-length-codesvehicular-communicationswireless
Paper metadata
- arXiv ID
- 2603.20265
- Version
- Not specified by this published record
- Category
- Mathematics — Information Theory (math.IT)
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Evidence and limitations
- Source ID
- arxiv_math_it
- Record identifier
- 5f125c7fced69868e981aec7ce7a6cb781332ad2deea9c400e4754b4fcd8c6ce
- Enrichment time
- 2026-03-24T08:51:52Z
- AI-assisted enrichment
- Yes
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