Slotted Secondary Transmission With Adaptive Modulation and Coding Under Interweave Cognitive Radio

In this paper, we propose a discrete-time Markov model to characterize slotted secondary transmission process under interweave cognitive implementation. Stationary distribution is solved in closed form to evaluate SU-to-PU collision probability and SU successful transmission probability. Assuming th...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology Vol. 68; no. 5; pp. 4800 - 4809
Main Authors: Wang, Wen-Jing, Zhang, Hui-Sheng
Format: Journal Article
Language:English
Published: New York IEEE 01.05.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
adaptive transmission
Coding
Cognitive radio
Collision dynamics
Delays
Encoding
extended delivery time
Markov analysis
Markov chain
Markov chains
Markov processes
Modulation
Optimization
Packet transmission
Queueing analysis
Queues
queuing delay
Sensors
Slotted secondary transmission
spectrum sensing
Throughput
throughput analysis
ISSN:0018-9545, 1939-9359
Online Access:Get full text
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Summary:In this paper, we propose a discrete-time Markov model to characterize slotted secondary transmission process under interweave cognitive implementation. Stationary distribution is solved in closed form to evaluate SU-to-PU collision probability and SU successful transmission probability. Assuming that SU transmission adopts adaptive modulation and coding (AMC), we then carry out the queuing analysis in terms of throughput, queuing delay, and packet drop probability, based on a two-dimensional finite-state Markov chain for small-size packet transmission. The optimal length of secondary slot is solved by maximizing throughput subject to an SU-to-PU collision probability constraint. For large-size packet transmission, the probability mass function of extended delivery time for secondary packet transmission is also derived. Selected numerical results are presented to illustrate the mathematical formulas and to validate our research results.
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2019.2904285