Abstract
Mobile networks are playing a tremendous role in our day-to-day activities. In the currently evolving networks such as 5G, satisfying quality of service (QoS) is remaining as a challenging problem due to the dense network deployment. Moreover, multiple technologies such as LTE, Wi-Fi, and 5G contending and cooperating make the resource allocation a complex problem. This paper attempts to optimize the radio resource allocation in heterogeneous wireless networks for a particular geographical region by finding the throughput by maintaining the QoS along with a combination of network parameters. Specifically, the proposed research work uses different parameters such as RSSI, RSRP, and RSRQ for calculating the throughput of user equipment in a specified area. The feedback-enabled method (FETE) is then compared with and evaluated for the MIMO system, where it is observed that an overall throughput gain can be obtained by using right optimization technique for different parameters.
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Praveenkumar, B. et al. (2021). FETE: Feedback-Enabled Throughput Evaluation for MIMO Emulated Over 5G Networks. In: Pandian, A., Fernando, X., Islam, S.M.S. (eds) Computer Networks, Big Data and IoT. Lecture Notes on Data Engineering and Communications Technologies, vol 66. Springer, Singapore. https://doi.org/10.1007/978-981-16-0965-7_71
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DOI: https://doi.org/10.1007/978-981-16-0965-7_71
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