A cross layer framework of Radio Resource Allocation for QoS provisioning in multi-channel fading wireless networks

Palit, Basabdatta; Das, Suvra Sekhar

doi:10.1007/s11276-018-1821-1

Cited by 5 publications

(2 citation statements)

References 36 publications

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“…Therefore, this paper considers the uplink subchannel allocation scheme. (ii) Most of the subchannel allocation schemes consider the QoS of high-priority users and the fairness of low-priority users separately, for example [24]. Thus, the QoS of high-priority users and the fairness of low-priority users are considered in this paper.…”

Section: Motivation and Contributionmentioning

confidence: 99%

“…In [23], the SU interference threshold is set to guarantee the QoS of PU, and the threshold is dynamically changed with the PU capacity requirement. A downlink multi-class and multi-server finite buffer queuing system is designed in [8,24], which guarantees QoS by limiting the number of allowed calls. However, user fairness was not considered in the above study.…”

Section: Introductionmentioning

confidence: 99%

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Performance Analysis of QoS-Oriented OFDMA Protocol Based on IEEE 802.11ax for Cognitive Radio Network

Yang

Gao

et al. 2023

Applied Sciences

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To improve the quality of service (QoS) on the internet of medical things, a cognitive radio (CR) protocol based on orthogonal frequency division multiple access (OFDMA) is proposed, named CR-OFDMA. In this protocol, we divide a complete channel into multiple orthogonal subchannels and enhance the subchannel assignment scheme, which achieves QoS improvement under consideration of priority and fairness. Furthermore, we improve spectrum resource utilization by fully utilizing the remaining subchannels, feedback slots, and backoff slots. Then, a two-dimensional Markov model is established to describe the dynamic characteristics of the protocol operation, where the backoff stage and the backoff counter value constitute the system state. By establishing the traffic conservation equations for the system operation, the transmission probability and collision probability are calculated, and expressions of system throughput, channel utilization, and fairness index are derived. Finally, numerical results validate the advantages of CR-OFDMA.

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Section: Motivation and Contributionmentioning

confidence: 99%