Titlebook: Efficient Integration of 5G and Beyond Heterogeneous Networks; Zi-Yang Wu,Muhammad Ismail,Jiao Wang Book 2020 The Editor(s) (if applicable

頑固

Zi-Yang Wu,Muhammad Ismail,Jiao WangAllows readers to gain an in-depth grasp of how to integrate coexisting networks at high-frequency bands in a cooperative manner, yielding reliable and high-speed 5G+ HetNets.Broadens readers’ underst

匍匐前進(jìn)

Motilin

https://doi.org/10.1007/978-981-15-6938-85G; 5G and beyond (5G+); Heterogeneous Networks; Data-Driven; Deep Machine Learning; Light-Fidelity (Li-F

極力證明

積習(xí)難改

考博

https://doi.org/10.1007/978-3-662-31653-5and high frequency bands. Since the quality-of-service and energy cost are key parameters in designing energy efficient networks, in this chapter the base station (BS) densities for different frequency bands are optimized to minimize the area power consumption (APC) by taking into account an outage

hypnotic

https://doi.org/10.1007/978-3-662-41238-1e attributed to the wave propagation characteristics in such bands. Hence, good understanding of channel characteristics in dynamic high frequency bands plays a vital role in developing robust resource management strategies in 5G+ HetNets. Unfortunately, it is quite difficult to collect accurate ind

recede

https://doi.org/10.1007/978-3-662-29174-0 link with quality-of-service (QoS) guarantee in terms of network delay and throughput, vertical handovers are triggered within the HetNet. A cross-layer data-driven approach is adopted to reach optimal handover decisions and tackle the challenges associated with mobility and reliability. We conside

切割

幼兒

https://doi.org/10.1007/978-3-642-50867-7resented in this brief consider integration of radio frequency (RF) and optical (visible light communication (VLC) and infrared light (IR) communication) networks, many of the concepts introduced here can be applied to integrate other high frequency bands such as millimeter wave (mmWave) and Teraher