학술논문

Traffic Control and Channel Assignment for Quality Differentiation in Dense Urban LoRaWANs
Document Type
Conference
Source
2022 20th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt) Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt), 2022 20th International Symposium on. :153-160 Sep, 2022
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
Performance evaluation
Smart cities
Wireless networks
Pricing
Traffic control
Channel allocation
Ad hoc networks
LoRaWAN
Packet Delivery Ratio
Quality Differentiation
Access Control
IoT
Language
Abstract
Service quality differentiation is gaining popularity in IoT networks, notably in LoRaWAN, with the rapid widespread of applications on connected devices. There is clearly a business demand for quality in IoT in the context of smart cities and network operators are urged by application designer to offer quality differentiation. However, those types of networks have been designed on the basis of a best effort service model. In particular, Packet Delivery Ratio (PDR) can dramatically decrease in dense scenarios. In this paper, we propose and evaluate traffic control and channel assignment solutions for PDR differentiation in dense deployments. Several performance criteria are defined in order to analyze the gain achieved by a network operator as well as end users. Numerical results show that both players can benefit from quality differentiation with ad-hoc pricing. This proves to be effective if penalizing low requirement devices, as they can create a bottleneck in the system. Namely, we show that in high density settings we can reach a 20% better PDR with one of the proposed policies, improving mean device servicing rate by 10% and the operator gain by 7.5%.