Special Issue on Big Data Driven Millimeter Wave Systems (submission due: September 1, 2019)
摘要截稿:
全文截稿: 2019-09-01
影响因子: 1.594
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 计算机科学 - 4区
• 小类 : 工程:电子与电气 - 4区
• 小类 : 电信学 - 4区
Overview
Millimeter wave (mmWave) communication systems have raised increasing attentions from both academia and industry. Compared with existing wireless communication systems, such as Wi-Fi and 4G, mmWave systems adopt much higher carrier frequencies and thus come with advantages including wider bandwidth, narrower beam, higher transmission quality, and stronger detection ability. These advantages well address the challenging situations caused by recent popular applications. For example, mmWave systems can significantly reduce the delivery time of skyrocketing video streaming.
In the meantime, more and more bandwidth intensive applications are emerging (e.g., HDTV, UHDV). These massive data traffic bring great pressure to existing wireless systems. To meet this incredible increase, mmWave communication systems, which can offer multi-gigabit data rate, hold potential to be utilized in future wireless networks. However, applying mmWave into practice is challenging. Since mmWave links are highly directional to combat severe attenuation. For example, in order to reduce the complexity and cost, mmWave communications are suggested to assist data transmission in data centers. Nevertheless, densely deployed servers will cause interference to each other and thus mmWave links are easily broken. Therefore, multiple data flows in data centers should be scheduled to optimize the system performance based on the unique features of mmWave communications. Another typical application scenario for mmWave communications is the future 5G networks, to meet the transmission requirements of the arrival of the big data era. To ensure the quality of service, mmWave links should be maintained in highly dynamic environments.
The goal of this Special Issue is to disseminate the latest research and innovations on big data driven mmWave systems, including the system modelling, design principles, architecture, performance evaluation, communication protocols and routing schemes. The topic of interests includes, but not limited to:
- Architecture design and modelling of mmWave systems used for big data services and applications
- Security, privacy and reliability in big data driven mmWave networks
- Network capacity and performance in big data driven mmWave networks
- Framework design for big data driven mmWave networks
- Traffic engineering for massive data in mmWave networks
- Green wireless communications in big data based mmWave networks
- Reliable communication protocols in big data based mmWave networks
- Routing strategies and algorithms for big data based mmWave networks
- Practical implementations of large-scale mmWave networks
- Interference management in big data driven mmWave networks
- Massive MIMO technology in big data driven mmWave networks
- Network coding in big data driven mmWave networks