Study on Energy Consumption and Coverage of Hierarchical Cooperation of Small Cell Base Stations in Heterogeneous Networks
Xuming Yao, Yingying Sun, Tao Han

TL;DR
This paper investigates hierarchical cooperation of small cell base stations in heterogeneous networks, demonstrating improved coverage and energy efficiency through simulation, compared to macro base stations alone.
Contribution
It introduces a method to analyze energy consumption and coverage in hierarchical SBS cooperation, highlighting its advantages over traditional macro base station systems.
Findings
Hierarchical SBS cooperation increases system coverage probability.
It reduces overall system energy consumption.
Simulation confirms improved performance over macro base stations.
Abstract
The demand for communication services in the era of intelligent terminals is unprecedented and huge. To meet such development, modern wireless communications must provide higher quality services with higher energy efficiency in terms of system capacity and quality of service (QoS), which could be achieved by the high-speed data rate, the wider coverage and the higher band utilization. In this paper, we propose a way to offload users from a macro base station(MBS) with a hierarchical distribution of small cell base stations(SBS). The connection probability is the key indicator of the implementation of the unload operation. Furthermore, we measure the service performance of the system by finding the conditional probability-coverage probability with the certain SNR threshold as the condition, that is, the probability of obtaining the minimum communication quality when the different base…
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Taxonomy
TopicsCooperative Communication and Network Coding · Advanced MIMO Systems Optimization · Software-Defined Networks and 5G
