Abstract
Small cells (SCs) are expected to be ultra-densely deployed in or close to the traffic hot-spots in the fifth generation (5G) mobile networks to provide wireless capacity cost-effectively. Traffic hot-spots change over time, which means SCs cannot be deployed in a one-off manner as macrocells normally do, rather they should be constructed in a staged process. Hence, mathematical models that capture the time-varying staged-construction process, are urgently needed for operators to effectively predict the construction period, but are currently lacking. In this paper, inspired by the foam bursting process-a natural phenomenon that can be observed in daily life such as hand-washing, we first propose a novel model that can predict the time-varying expectation and logarithmic variance of SC coverage areas. Then, we verify the model by real network deployment cases. Additionally, in order to extract parameters from historical base station deployment data, a parameter estimation algorithm is designed and verified. The findings of the paper reveal that mobile operators should construct ultra-dense SC networks in a staged manner like how larger foams split into smaller ones.
Highlights
Heterogeneous network (HetNet) is a key enabling technology for the fourth generation (4G) and the fifth generation (5G) mobile networks
As the first staged construction (SCON) network modeling, in the absence of existing research on the base stations (BSs) construction process mechanism, we introduce the process with similar evolution from physics-based engineering, i.e., the inverse foam bursting process, as a reference for the BS construction process [17]
The model was inspired by the foam bursting process
Summary
Heterogeneous network (HetNet) is a key enabling technology for the fourth generation (4G) and the fifth generation (5G) mobile networks. Mathematically modeling the variation of the time-varying BS coverage area distribution is crucial for operators to effectively predict the construction period required for network construction using the SCON approach. Existing studies on dynamic networks have been proposed in the field of self-organizing networks and BS on/off switch handling [13]–[15] In these researches, to improve the ultra-dense small cell network’s energy efficiency, researchers have proposed different mathematical models that can automatically switch the state of SCs to respond to the fluctuating network traffic. To fill the gap in the dynamic modeling of ultra-dense small cell deployment using the SCON approach, we propose a novel time-varying mathematical model of BS distribution inspired by the foam distribution model to lay a foundation for this research field.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
