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MmWave meshed network with traffic and energy management mechanism

 
: Sakaguchi, K.; Tran, G.K.; Ogawa, H.

:

Institute of Electrical and Electronics Engineers -IEEE-; IEEE Signal Processing Society:
IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017 : 3-6 July 2017, Sapporo, Japan
Piscataway, NJ: IEEE, 2017
ISBN: 978-1-5090-3009-5
ISBN: 978-1-5090-3008-8
ISBN: 978-1-5090-3010-1
S.550-555
International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) <18, 2017, Sapporo>
Englisch
Konferenzbeitrag
Fraunhofer HHI ()

Abstract
mmWave meshed network is a promising architecture for cost-efficient wireless backhaul of millimeter-wave overlay heterogeneous network (mmWave overlay HetNet). As user distribution in practice is time-variant and spatially non-uniform, mmWave meshed backhaul should be controlled adaptively. This paper proposes a novel method to control mmWave meshed backhaul for efficient operation of mmWave overlay HetNet in dynamic crowd scenario e.g. event venues. 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. Considering practical user distribution modeled from realistic measurement data, radio backhaul resources should be concentrated on overloaded mmWave SC-BSs. Inversely, underloaded mmWave SC-BSs should be deactivated for saving power. The performance of mmWave meshed backhaul controlled by the proposed algorithm is evaluated by system level simulation. Numerical results show that the proposed algorithm can cope with the locally intensive traffic and reduce energy consumption.

: http://publica.fraunhofer.de/dokumente/N-502440.html