4.7 Article

Quality-of-Service Differentiation in Buffer-Aided Cooperative Free Space Optical Communication Systems

期刊

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
卷 20, 期 9, 页码 6064-6077

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2021.3071672

关键词

Relays; Delays; Quality of service; Radio frequency; Optical buffering; Protocols; Markov processes; Free space optics; relaying; buffer; priority queuing; delay tolerance; asymptotic analysis; quality of service; class-of-service mutation

资金

  1. National Council for Scientific Research-Lebanon (CNRS-L) [851]

向作者/读者索取更多资源

This paper addresses the issue of Quality-of-Service (QoS) differentiation in Buffer-Aided (BA) cooperative Free Space Optical (FSO) communication systems, proposing priority queueing and service class mutation strategies to improve delay and manage the dynamics resulting from co-existing packets with different QoS requirements. The performance measures are evaluated mathematically and through simulations, with an asymptotic analysis highlighting the system's parameter dependence on performance.
In this paper, the problem of Quality-of-Service (QoS) differentiation is studied in the context of Buffer-Aided (BA) cooperative Free Space Optical (FSO) communication systems. This is particularly true since the existing relevant literature overlooked the possibility of preferential treatment of data packets based on their delay requirements. Inspired by this observation, this paper proposes to classify the data packets emanating from the source node into either Delay Tolerant (DT) packets or Non Delay Tolerant (NDT) ones and to service these packets according to this classification at the relay node. Priority queueing is first introduced in the relay's buffer with a view to improving the delay experienced by NDT packets. Class of service mutation is then proposed as a starvation mitigation strategy to better manage the interesting dynamics resulting from the co-existence of packets having different QoS requirements in the same buffer. The various performance measures of interest for the explored QoS-aware communication system are both evaluated mathematically based on a Markov chain analysis and validated through extensive simulations. An asymptotic analysis is also carried out highlighting the dependence of the performance on the system parameters in an intuitive manner.

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