Special issue on Source Localization in Massive MIMO
摘要截稿:
全文截稿: 2018-11-30
影响因子: 2.871
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 工程技术 - 2区
• 小类 : 工程:电子与电气 - 3区
Overview
With the development of millimeter-wave (mmWave) technology, massive multiple-input multiple-output (MIMO) becomes very promising in next generation wireless communication systems. By using a very large number of antennas (typically, hundreds or thousands) at the base station, massive MIMO can provide much better system performance in terms of channel capacity, spectrum efficiency and link reliability than classical MIMO equipping with multiple antennas (typically, two to tens). Besides, massive MIMO also enables high-accuracy localization for location-based services in our daily lives, e.g., indoor navigation, vehicle localization, map-based game, fraud detection, disaster relief, targeted advertisement, etc. Current localization technologies using global positioning systems (GPS) or Wi-Fi offer inferior performance in urban areas due to the limited number of antennas, complex multi-path or non-line-of-sight propagation environments. In contrast, massive MIMO may bring significant benefit in improving localization performance due to its large number of serving antennas. Nevertheless, the localization research using massive MIMO has just started for both academy and industry. There are various research issues to be addressed ranging from algorithm reliability and robustness to system achievement.
The goal of the Special Issue is to push the localization research specifically using massive MIMO with enhanced degrees-of-freedom. Review papers on this topic are also welcome. Topics of interest in this Special Issue include, but are not limited to:
- Antenna selection and array calibration
- Co-existence between radar and massive MIMO systems
- Compressive sampling and sparse sensing
- Hybrid analog-digital signal processing
- Indoor localization and vehicle navigation
- Location-based security authentication in Internet of Things (IoT)
- Massive UAV-to-ground communication and localization
- Non-line-of-sight positioning
- One-bit quantization
- Pilot design and channel estimation
- Resource-constrained beamforming
- Source enumeration and direction-of-arrival estimation
- Through-the-wall localization, imaging and pattern recognition