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  • 标题:Context-Based Dynamic Meshed Backhaul Construction for 5G Heterogeneous Networks
  • 作者:Gia Khanh Tran ; Ricardo Santos ; Hiroaki Ogawa
  • 期刊名称:Journal of Sensor and Actuator Networks
  • 电子版ISSN:2224-2708
  • 出版年度:2018
  • 卷号:7
  • 期号:4
  • 页码:43
  • DOI:10.3390/jsan7040043
  • 语种:English
  • 出版社:MDPI Publishing
  • 摘要:Five-G heterogeneous network overlaid by millimeter-wave (mmWave) access employs mmWave meshed backhauling as a promising cost-efficient backhaul architecture. Due to the nature of mobile traffic distribution in practice which is both time-variant and spatially non-uniform, dynamic construction of mmWave meshed backhaul is a prerequisite to support the varying traffic distribution. Focusing on such scenario of outdoor dynamic crowd (ODC), this paper proposes a novel method to control mmWave meshed backhaul for efficient operation of mmWave overlay 5G HetNet through Software-Defined Network (SDN) technology. Our algorithm is featured by two functionalities, i.e., backhauling route multiplexing for overloaded mmWave small cell base stations (SC-BSs) and mmWave SC-BSs’ ON/OFF status switching for underloaded spot. In this paper, the effectiveness of the proposed meshed network is confirmed by both numerical analyses and experimental results. Simulations are conducted over a practical user distribution modeled from measured data in realistic environments. Numerical results show that the proposed algorithm can cope with the locally intensive traffic and reduce energy consumption. Furthermore, a WiGig (Wireless Gigabit Alliance certified) device based testbed is developed for Proof-of-Concept (PoC) and preliminary measurement results confirm the proposed dynamic formation of the meshed network’s efficiency.
  • 关键词:mmWave; 5G heterogeneous network; meshed backhaul; outdoor dynamic crowd; SDN; dynamic construction; testbed; numerical analysis; experimental validation mmWave ; 5G heterogeneous network ; meshed backhaul ; outdoor dynamic crowd ; SDN ; dynamic construction ; testbed ; numerical analysis ; experimental validation
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