Abstract
This paper presents a comprehensive model including a wireless backhaul as a cost-effective backhaul alternative to wired backhaul for vehicular networks, a heterogeneous underlay cognitive vehicular network with multiple mobile secondary transmitters acting as mobile small cells, a mob
Highlights
With scenarios such as 5G, Internet of Things, smart cities and smart vehicles, future wireless networks will be more heterogeneous and dense[1]
We present a heterogeneous underlay cognitive vehicular network with a Macro-base station (BS) connected to the cloud, K mobile secondary transmitters acting as mobile small cells {T1, ...Tk, ...TK }, a mobile secondary receiver SU and a mobile primary user P U
The numerical results in terms of the outage probability are evaluated to investigate the effect of backhaul reliability on the proposed heterogeneous cognitive vehicular network in Fig. 1 and 2
Summary
With scenarios such as 5G, Internet of Things, smart cities and smart vehicles, future wireless networks will be more heterogeneous and dense[1]. Wireless backhauls are not as reliable as wired backhauls due to non-LOS propagation and channel fading [2] The influence of this unreliability upon system performance remains a concern [1] [2] [3]. Wireless backhaul is an efficient way to enable vehicle to infrastructure (V2I) communications by connecting moving small cells to fixed macro-base stations. As mentioned previously, unreliable backhaul can affect the system performance significantly, so backhaul reliability is an essential parameter to be considered [5,6,7,8] This motivates us to propose a heterogeneous underlay cognitive vehicular networks where the effects of backhaul reliability and the number of mobile secondary transmitters on system performance are examined
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