Sensing-Aided Peer-to-Peer Millimeter-Wave Communication
One of the bottlenecks of modern communications is to enable sensing and mutual communication simultaneously without causing scheduling conflicts, and how sensing may be leveraged to help directional communication accuracy. To this end, we propose and implement a novel peer-to-peer (P2P) millimeter-wave communication system to jointly achieve beamforming and sensing. A radar and IMU-assisted tracking and beamforming algorithm is designed and tested. The results show that a robust tracking capacity with an overall higher throughput can be obtained. It is also hopeful that based on our proposed system, our design and implementation can be deployed in a more scalable manner for future extensions.
Code (0)
등록된 구현이 없습니다.
Tasks
SchedulingSimilar Papers 제목 키워드 기반
Multi-Beam Object-Localization for Millimeter-Wave ISAC-Aided Connected Autonomous Vehicles
Millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems capable of integrated sensing and communication (ISAC) constitute a key technology for connected autonomous vehicles (CAVs). In this context, we prop…
Autonomous VehiclesIntegrated sensing and communicationISACObject LocalizationNovel Many-to-Many NOMA-based Communication Protocols for Vehicular Platoons
Non-orthogonal multiple access (NOMA) is a promising technique for ultra-reliable low-latency communication as it provides higher spectral efficiency and lower latency. In this work, we propose novel many-to-many (M2M) N…
How Robot Dogs See the Unseeable: Improving Visual Interpretability via Peering for Exploratory Robots
In vegetated environments, such as forests, exploratory robots play a vital role in navigating complex, cluttered environments where human access is limited and traditional equipment struggles. Visual occlusion from obst…
Scene UnderstandingVisual ReasoningMillimeter Wave Sensing: A Review of Application Pipelines and Building Blocks
The increasing bandwidth requirement of new wireless applications has lead to standardization of the millimeter wave spectrum for high-speed wireless communication. The millimeter wave spectrum is part of 5G and covers f…
Systematic Literature ReviewMulti-User Beamforming with Deep Reinforcement Learning in Sensing-Aided Communication
Mobile users are prone to experience beam failure due to beam drifting in millimeter wave (mmWave) communications. Sensing can help alleviate beam drifting with timely beam changes and low overhead since it does not need…
Deep Reinforcement Learning