Abstract
On Performance Improvement of Centroid Topology Optimization Schemes in LTE Networks
Highlights
The Long Term Evolution (LTE)-based networks provide broadband wireless communication network infrastructure, which can support high data rate service and numerous smart-world applications powered by the Internet of Things (IoT) technology [24, 25, 28, 31, 40, 47,48,49, 51, 53]
Note that we focus on a single cell with one macro eNodeB in an LTE network in this paper to demonstrate the effectiveness of our schemes
We extend the Original scenario by redeploying the macro eNodeB to the center-of-gravity of all UEs by using the centroid topology optimization (CTO)-based scheme, while all the positions of UEs remain the same as in the Original scenario. We demonstrate this scenario to compare the LTE network performance with that of the Original scenario, regarding the seven key metrics defined in Section 4.2, and to evaluate the communication deterioration of those UEs on the edge of the macro eNodeB’s transmission coverage as a result of CTO-based schemes
Summary
The Long Term Evolution (LTE)-based networks provide broadband wireless communication network infrastructure, which can support high data rate service and numerous smart-world applications (smart home, smart grid, smart manufacturing, and smart health, among others) powered by the Internet of Things (IoT) technology [24, 25, 28, 31, 40, 47,48,49, 51, 53]. When eNodeB and connected UEs are located far away from each other, the network topology generated by a CTO-based scheme could incur the risk of link disconnection between them, especially for those UEs located at the edge of eNobeB coverage prior to the CTO-based schemes being implemented To address this issue, in this study we first evaluate the performance of CTO-based schemes in LTE networks, with respect to throughput, delay, DSD, PLR, SINR, MCS index, and TBS to understand their limitations. The experimental results demonstrate the limitation of CTO-based schemes regarding UEs at the edge of macro eNodeB coverage, and validates the effectiveness of our proposed Power Control-based and Femto Relay-based schemes in mitigating this limitation with respect to throughput, delay, DSD, PLR, SINR, MCS index, and TBS in LTE networks.
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