Performance analysis of cognitive machine-to-machine communications
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 oppor...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2013
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| Online Access: | https://hdl.handle.net/10356/97689 http://hdl.handle.net/10220/12039 |
| _version_ | 1826126771961987072 |
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| author | Hoang, Dinh Thai Niyato, Dusit |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Hoang, Dinh Thai Niyato, Dusit |
| author_sort | Hoang, Dinh Thai |
| collection | NTU |
| description | 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). |
| first_indexed | 2024-10-01T06:58:07Z |
| format | Conference Paper |
| id | ntu-10356/97689 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:58:07Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/976892020-05-28T07:18:29Z Performance analysis of cognitive machine-to-machine communications Hoang, Dinh Thai Niyato, Dusit School of Computer Engineering IEEE International Conference on Communication Systems (2012 : Singapore) DRNTU::Engineering::Computer science and engineering 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). 2013-07-23T03:33:05Z 2019-12-06T19:45:30Z 2013-07-23T03:33:05Z 2019-12-06T19:45:30Z 2012 2012 Conference Paper Hoang, D. T., & Niyato, D. (2012). Performance analysis of cognitive machine-to-machine communications. 2012 IEEE International Conference on Communication Systems (ICCS). https://hdl.handle.net/10356/97689 http://hdl.handle.net/10220/12039 10.1109/ICCS.2012.6406147 en © 2012 IEEE. |
| spellingShingle | DRNTU::Engineering::Computer science and engineering Hoang, Dinh Thai Niyato, Dusit Performance analysis of cognitive machine-to-machine communications |
| title | Performance analysis of cognitive machine-to-machine communications |
| title_full | Performance analysis of cognitive machine-to-machine communications |
| title_fullStr | Performance analysis of cognitive machine-to-machine communications |
| title_full_unstemmed | Performance analysis of cognitive machine-to-machine communications |
| title_short | Performance analysis of cognitive machine-to-machine communications |
| title_sort | performance analysis of cognitive machine to machine communications |
| topic | DRNTU::Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/97689 http://hdl.handle.net/10220/12039 |
| work_keys_str_mv | AT hoangdinhthai performanceanalysisofcognitivemachinetomachinecommunications AT niyatodusit performanceanalysisofcognitivemachinetomachinecommunications |