移动人工智能是第六代移动通信（6G）的重要研究方向之一。实验室近期在国家自然科学基金重点、面上项目和与多个高技术公司合作项目的资助下，研究基于机器学习和无线大数据的边缘缓存、计算与传输资源管理。
为了推动混合现实、全息通信、网络化自动驾驶等应用，6G将支持巨流量、巨连接、全覆盖、超低时延超高可靠通信，成为个性化、自动化的智能信息网络。
继自然语言处理、计算机视觉之后，移动人工智能即将成为人工智能技术的又一个成功案例，正在引起学术界和工业界的广泛关注。移动人工智能以无线大数据为基础、以强化学习和深度学习等机器学习为工具，不仅可以解决大规模无线网络中的传输资源管理问题，还为主动缓存、预测资源分配等基于用户行为预测的缓存与计算资源利用等新问题提供了新的解决思路。
为了推动虚拟/增强现实、全息投影、网络化自动驾驶等应用，6G将支持巨流量、巨连接、全覆盖、超低时延超高可靠通信，成为个性化、自动化的智能泛在网络。
With explosive growth of high-data-rate applications, more and more energy is consumed in wireless networks to guarantee the quality-of-service. Therefore, energy-efficient communications have been paid increasing attention under the background of limited energy resource and environmental-friendly transmission behaviors. Energy efficiency can be improved by cross-layer optimization in time, frequency and spatial domains, as well as by applying new network architecture and advanced transmission techniques.
Interference alignment (IA) is a linear precoding technique that attempts to align interfering signals in time, frequency, or space. In MIMO networks, interference alignment uses the spatial dimension offered by multiple antennas. The key idea is that users coordinate their transmissions such that the interference signal lies in a reduced dimensional subspace at each receiver. Some exciting results show that the interference channel is not fundamentally interference-limited.
Coordinated Multi-Point transmission (CoMP) will increase data transmission rates and help ensure consistent service quality and throughput on LTE wireless broadband networks as well as on 3G and 4G networks. By coordinating and combining signals from multiple base stations, CoMP will make it possible for mobile users to enjoy consistent performance and quality when they access and share videos, photos and other high-bandwidth services whether they are close to the center of an LTE cell or at its outer edges.
The cognitive radio (CR), built on a software-defined radio, is defined as an intelligent wireless communication system that is aware of its environment and uses the methodology of understanding-by-building to learn from the environment and adapt to statistical variations in the input stimuli, with two primary objectives in mind: highly reliable communication whenever and wherever needed; efficient utilization of the radio spectrum.
The cognitive radio (CR), built on a software-defined radio, is defined as an intelligent wireless communication system that is aware of its environment and uses the methodology of understanding-by-building to learn from the environment and adapt to statistical variations in the input stimuli, with two primary objectives in mind: highly reliable communication whenever and wherever needed; efficient utilization of the radio spectrum.
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