Modeling of Time and Frequency Random Access Network and Throughput Capacity Analysis
In this paper, we model the random multi-user multi-channel access network by using the occupancy problem from probability theory, and we combine this with a network interference model in order to derive the achievable throughput capacity of such networks. Furthermore, we compare the randommulti-cha...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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European Alliance for Innovation (EAI)
2017-05-01
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| Series: | EAI Endorsed Transactions on Cognitive Communications |
| Subjects: | |
| Online Access: | http://eudl.eu/doi/10.4108/eai.31-5-2017.152555 |
| _version_ | 1818178099320193024 |
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| author | Vincent Savaux Apostolos Kountouris Yves Louet Christophe Moy |
| author_facet | Vincent Savaux Apostolos Kountouris Yves Louet Christophe Moy |
| author_sort | Vincent Savaux |
| collection | DOAJ |
| description | In this paper, we model the random multi-user multi-channel access network by using the occupancy problem from probability theory, and we combine this with a network interference model in order to derive the achievable throughput capacity of such networks. Furthermore, we compare the randommulti-channel access with a cognitive radio systemin which the users are able to minimize the channels occupancy. Besides, we show that the sampling rate can be reduced under the Nyquist rate if the use of the spectrum resource is known at the gateway side. This scenario is referred as "cognitive radio" context. The mathematical developments and results are illustrated through various simulations results. The proposed model is particularly relevant in analyzing the performance of networks where the users are not synchronized neither in time nor in frequency as it is often the case in various Internet of Things (IoT) applications. |
| first_indexed | 2024-12-11T20:42:35Z |
| format | Article |
| id | doaj.art-f2e406d3c67f443a8de138f4a053bdfd |
| institution | Directory Open Access Journal |
| issn | 2313-4534 |
| language | English |
| last_indexed | 2024-12-11T20:42:35Z |
| publishDate | 2017-05-01 |
| publisher | European Alliance for Innovation (EAI) |
| record_format | Article |
| series | EAI Endorsed Transactions on Cognitive Communications |
| spelling | doaj.art-f2e406d3c67f443a8de138f4a053bdfd2022-12-22T00:51:27ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Cognitive Communications2313-45342017-05-013111910.4108/eai.31-5-2017.152555Modeling of Time and Frequency Random Access Network and Throughput Capacity AnalysisVincent Savaux0Apostolos Kountouris1Yves Louet2Christophe Moy3Signal, Communication & Embedded Electronics (SCEE) research group/IETR, CentraleSupélec, Rennes, France; vincent.savaux@b-com.comOrange Labs, Grenoble, FranceSignal, Communication & Embedded Electronics (SCEE) research group/IETR, CentraleSupélec, Rennes, FranceSignal, Communication & Embedded Electronics (SCEE) research group/IETR, CentraleSupélec, Rennes, FranceIn this paper, we model the random multi-user multi-channel access network by using the occupancy problem from probability theory, and we combine this with a network interference model in order to derive the achievable throughput capacity of such networks. Furthermore, we compare the randommulti-channel access with a cognitive radio systemin which the users are able to minimize the channels occupancy. Besides, we show that the sampling rate can be reduced under the Nyquist rate if the use of the spectrum resource is known at the gateway side. This scenario is referred as "cognitive radio" context. The mathematical developments and results are illustrated through various simulations results. The proposed model is particularly relevant in analyzing the performance of networks where the users are not synchronized neither in time nor in frequency as it is often the case in various Internet of Things (IoT) applications.http://eudl.eu/doi/10.4108/eai.31-5-2017.152555Throughput capacityNetwork interferenceOccupancy problemRandom accessCognitive RadioSub- Nyquist sampling |
| spellingShingle | Vincent Savaux Apostolos Kountouris Yves Louet Christophe Moy Modeling of Time and Frequency Random Access Network and Throughput Capacity Analysis EAI Endorsed Transactions on Cognitive Communications Throughput capacity Network interference Occupancy problem Random access Cognitive Radio Sub- Nyquist sampling |
| title | Modeling of Time and Frequency Random Access Network and Throughput Capacity Analysis |
| title_full | Modeling of Time and Frequency Random Access Network and Throughput Capacity Analysis |
| title_fullStr | Modeling of Time and Frequency Random Access Network and Throughput Capacity Analysis |
| title_full_unstemmed | Modeling of Time and Frequency Random Access Network and Throughput Capacity Analysis |
| title_short | Modeling of Time and Frequency Random Access Network and Throughput Capacity Analysis |
| title_sort | modeling of time and frequency random access network and throughput capacity analysis |
| topic | Throughput capacity Network interference Occupancy problem Random access Cognitive Radio Sub- Nyquist sampling |
| url | http://eudl.eu/doi/10.4108/eai.31-5-2017.152555 |
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