The ACM MobiCom conference seeks papers describing significant research contributions in the field of wireless networking and mobile computing. MobiCom solicits papers that address important research challenges and build practical working systems. Successful papers should propose novel ideas to attack such problems through rigorous analysis, system design, and real-world measurement or deployment of mobile networks, systems, and applications.

MobiCom 2025 will emphasize novelty and creativity while, at the same time, taking a broader and more inclusive view of wireless and mobile systems research. On one hand, the more novel the concept, the harder it can be to fully develop or evaluate all its aspects. On the other hand, the more practical and developed the system, the more simple and sometimes known techniques must be leveraged. The review process will take both cases into account as intellectual merit and novelty can be found in techniques, system designs, implementations, and applications. The review process will also favor papers that describe how the authors will provide access to well-documented datasets, modeling and/or simulation tools, and codebases to support the reproducibility of their methods as well as papers that highlight and discuss not only the significance but also the limitations of the work.

MobiCom 2025 will have a separate category for challenge, experience, and verification papers. These are full papers that provide detailed technical insights from real-world deployments. MobiCom 2025 will also incorporate early notifications for papers rejected in round 1 as described below in more detail. 

Topics

We invite submissions on a wide range of mobile computing, mobile systems, mobile applications, and wireless networking research, including but not limited to the following:

    Edge and cloud computing
    Embedded and energy-harvesting systems
    Backscatter communication and wireless power
    Implantable and wearable computing
    Millimeter-wave and terahertz communications
    Mobile health
    Applications of machine learning (on-device ML, federated/decentralized ML) to mobile/wireless research
    Transfer learning and domain adaptation for mobile applications
    Large language models (LLMs) and generative AI for mobile and wireless systems
    Next generation of mobile networks (5G, 6G and beyond)
    Mobile web, video, virtual reality, augmented reality and other applications
    Novel applications of wireless signals
    Practical quantum applications and systems (quantum sensing, quantum programming, quantum machine learning, etc.)
    Vehicular, robotic and drone-based networking
    Communication with reconfigurable and intelligent reflective surfaces, meta materials, and flexible surfaces
    Satellite networks and integrated satellite-terrestrial networks
    Security and privacy issues/solutions for mobile/wireless systems
    Sensing with radio, light, sound, and acoustics
    Smart cities and smart spaces (e.g. smart factories, smart workspace, smart agriculture, urban mobility)
    Ubiquitous computing and mobile human-computer interaction
    Underwater networking and sensing
    Visible light communications
    Wireless localization and tracking
    Reducing carbon footprint of wireless networks and mobile devices