DocumentCode :
2881594
Title :
Performance analysis of cognitive machine-to-machine communications
Author :
Dinh Thai Hoang ; Niyato, Dusit
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear :
2012
fDate :
21-23 Nov. 2012
Firstpage :
245
Lastpage :
249
Abstract :
In this paper, we first introduce the concept of cognitive machine-to-machine (M2M) communications. In cognitive M2M communications, devices generate packets and the packets are transferred to a concentrator. The concentrators are considered to be secondary users in the cognitive radio network opportunistically accessing a channel allocated to primary users. Based on a random access channel (RACH) mechanism, a queuing model to analyze the performance of cognitive M2M communications is proposed. The queuing model uses an iterative approach to reduce the complexity, and it is able to obtain various performance measures (e.g., queue throughput and delay).
Keywords :
channel allocation; cognitive radio; communication complexity; iterative methods; line concentrators; queueing theory; wireless channels; RACH mechanism; channel allocation; cognitive M2M communications; cognitive machine-to-machine communications performance analysis; cognitive radio network; complexity reduction; concentrators; iterative approach; packet generation; queuing model; random access channel mechanism; secondary users; Delay; Iterative methods; Probability; Queueing analysis; Radiation detectors; Steady-state; Vectors; Cognitive radio networks; Machine-to-Machine communications; backoff algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Systems (ICCS), 2012 IEEE International Conference on
Conference_Location :
Singapore
ISSN :
Pending
Print_ISBN :
978-1-4673-2052-8
Type :
conf
DOI :
10.1109/ICCS.2012.6406147
Filename :
6406147
Link To Document :
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