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Open AccessArticle

Distributed Algorithm for Base Station Assignment in 4G/5G Machine-Type Communication Scenarios with Backhaul Limited Conditions

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Centro de Investigación y de Estudios Avanzados del I.P.N. (Cinvestav), Unidad Tamaulipas, Ciudad Victoria 87130, Mexico
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Centro de Investigación Científica y de Educación Superior de Ensenada (Cicese), Ensenada 22860, Mexico
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Conacyt-Centro de Investigación y de Estudios Avanzados del I.P.N. (Cinvestav), Unidad Tamaulipas, Ciudad Victoria 87130, Mexico
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Author to whom correspondence should be addressed.
Sensors 2020, 20(22), 6553; https://doi.org/10.3390/s20226553
Received: 19 October 2020 / Revised: 8 November 2020 / Accepted: 11 November 2020 / Published: 17 November 2020
(This article belongs to the Special Issue Communications and Computing in Sensor Network)
A progressive paradigm shift from centralized to distributed network architectures has been consolidated since the 4G communication standard, calling for novel decision-making mechanisms with distributed control to operate at the network edge. This situation implies that each base station (BS) must manage resources independently to meet the quality of service (QoS) of existing human-type communication devices (HTC), as well as the emerging machine type communication (MTC) devices from the internet of things (IoT). In this paper, we address the BS assignment problem, whose aim is to determine the most appropriate serving BS to each mobile device. This problem is formulated as an optimization problem for maximizing the system throughput and imposing constraints on the air interface and backhaul resources. The assignment problem is challenging to solve, so we present a simple yet valid reformulation of the original problem while using dual decomposition theory. Subsequently, we propose a distributed price-based BS assignment algorithm that performs at each BS the assignment process, where a novel pricing update scheme is presented. The simulation results show that our proposed solution outperforms traditional maximum signal to interference plus noise ratio (Max-SINR) and minimum path-loss (Min-PL) approaches in terms of system throughput. View Full-Text
Keywords: base station assignment; distributed algorithm; IoT; resource allocation base station assignment; distributed algorithm; IoT; resource allocation
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Esquivel-Mendiola, E.A.; Galeana-Zapién, H.; Covarrubias, D.H.; Aldana-Bobadilla, E. Distributed Algorithm for Base Station Assignment in 4G/5G Machine-Type Communication Scenarios with Backhaul Limited Conditions. Sensors 2020, 20, 6553.

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