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