Co-existing communication networks with over-the-air computing

    Project: Research project

    Project Details

    Description

    This project is supported by the General Research Fund of the Research Grants Council of Hong Kong under Project CUHK 14214822 in the amount of HKD 871,682. With the development of the Internet-of-Things (IoT), the number of smart devices is growing tremendously. Many of these devices, such as sensors, generate data to be subsequently collected on servers. Traditionally, different devices use multiple access technologies, such as time division multiple access (TDMA) or frequency division multiple access (FDMA), to transmit to the access point. However, the result can be poor bandwidth efficiency, high latency, and low freshness of data. On the other hand, in the event that data from different devices are to be aggregated, it may be possible and even beneficial to allow multiple nodes to transmit simultaneously so that the signals are combined wirelessly over the channel, which is the basic idea of over-the-air computing. While there are considerable results attempting to optimize isolated IoT/sensor networks with over-the-air computing, the interaction between the IoT/sensor network with over-the-air computing and other co-existing networks, such as the cellular network, is still an open problem. With the proliferation of IoT/sensor networks, we anticipate that such interactions will be very common in the future and therefore urge to address this issue. The goal of this project is to fill this research gap by investigating the optimization and co-existence of general communication networks and IoT/sensor networks with over-the-air computing. We would consider different models that integrate different technologies into co-existing networks. The co-existence of different types of networks in the same space at the same spectrum poses a great challenge to interference management. We would consider different techniques, including non-orthogonal multiple access (NOMA), interference alignment, and etc., to tackle the problems. We would also try to optimize the IoT/sensor network via power control, opportunistic transmission and energy harvesting. We expect that our results would enhance the design and implementation of co-existing communication systems with over-the-air computing.

    Funding Source: RGC - General Research Fund (GRF)
    StatusActive
    Effective start/end date01/09/2231/08/25

    Keywords

    • Over-the-air Computing
    • Co-existing Networks
    • Interference Management
    • IoT
    • Sensor Networks

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