Joint Resource Optimization for Orthogonal Frequency Division Multiplexing Based Cognitive Amplify and Forward Relaying Networks
This paper investigates two resource allocation problems in cognitive relaying networks where both secondary network and primary network coexist in the same frequency band and adopt orthogonal frequency division multiplexing (OFDM) technology. The first one is the sum rate maximization problem of a...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-04-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/7/2074 |
| _version_ | 1797571242543284224 |
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| author | Dong Qin Tianqing Zhou |
| author_facet | Dong Qin Tianqing Zhou |
| author_sort | Dong Qin |
| collection | DOAJ |
| description | This paper investigates two resource allocation problems in cognitive relaying networks where both secondary network and primary network coexist in the same frequency band and adopt orthogonal frequency division multiplexing (OFDM) technology. The first one is the sum rate maximization problem of a secondary network under total power budget of a secondary network and tolerable interference constraint of a primary network. The second one is the sum rate maximization problem of a secondary network under separate power budgets of a secondary network and tolerable interference constraint of a primary network. These two optimization problems are completely different from those in traditional cooperative communication due to interference management constraint condition. A joint optimization algorithm is proposed, where power allocation and subcarrier pairing are decomposed into two subproblems with reasonable cost. The first one is a closed form solution of power allocation of the secondary network while managing the interference to a primary network under a constraint condition. The other is optimal subcarrier pairing at given power allocation. Simulation results reveal aspects of average signal to noise ratio (SNR), interference level, relay position, and power ratio on the sum rate of a secondary network. |
| first_indexed | 2024-03-10T20:37:33Z |
| format | Article |
| id | doaj.art-2c3e85e221d94c9792fa0fa26bd991d6 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T20:37:33Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2c3e85e221d94c9792fa0fa26bd991d62023-11-19T20:55:17ZengMDPI AGSensors1424-82202020-04-01207207410.3390/s20072074Joint Resource Optimization for Orthogonal Frequency Division Multiplexing Based Cognitive Amplify and Forward Relaying NetworksDong Qin0Tianqing Zhou1School of Information Engineering, Nanchang University, Nanchang 330031, ChinaSchool of Information Engineering, East China Jiaotong University, Nanchang 330013, ChinaThis paper investigates two resource allocation problems in cognitive relaying networks where both secondary network and primary network coexist in the same frequency band and adopt orthogonal frequency division multiplexing (OFDM) technology. The first one is the sum rate maximization problem of a secondary network under total power budget of a secondary network and tolerable interference constraint of a primary network. The second one is the sum rate maximization problem of a secondary network under separate power budgets of a secondary network and tolerable interference constraint of a primary network. These two optimization problems are completely different from those in traditional cooperative communication due to interference management constraint condition. A joint optimization algorithm is proposed, where power allocation and subcarrier pairing are decomposed into two subproblems with reasonable cost. The first one is a closed form solution of power allocation of the secondary network while managing the interference to a primary network under a constraint condition. The other is optimal subcarrier pairing at given power allocation. Simulation results reveal aspects of average signal to noise ratio (SNR), interference level, relay position, and power ratio on the sum rate of a secondary network.https://www.mdpi.com/1424-8220/20/7/2074cognitive radioamplify and forwardOFDM |
| spellingShingle | Dong Qin Tianqing Zhou Joint Resource Optimization for Orthogonal Frequency Division Multiplexing Based Cognitive Amplify and Forward Relaying Networks Sensors cognitive radio amplify and forward OFDM |
| title | Joint Resource Optimization for Orthogonal Frequency Division Multiplexing Based Cognitive Amplify and Forward Relaying Networks |
| title_full | Joint Resource Optimization for Orthogonal Frequency Division Multiplexing Based Cognitive Amplify and Forward Relaying Networks |
| title_fullStr | Joint Resource Optimization for Orthogonal Frequency Division Multiplexing Based Cognitive Amplify and Forward Relaying Networks |
| title_full_unstemmed | Joint Resource Optimization for Orthogonal Frequency Division Multiplexing Based Cognitive Amplify and Forward Relaying Networks |
| title_short | Joint Resource Optimization for Orthogonal Frequency Division Multiplexing Based Cognitive Amplify and Forward Relaying Networks |
| title_sort | joint resource optimization for orthogonal frequency division multiplexing based cognitive amplify and forward relaying networks |
| topic | cognitive radio amplify and forward OFDM |
| url | https://www.mdpi.com/1424-8220/20/7/2074 |
| work_keys_str_mv | AT dongqin jointresourceoptimizationfororthogonalfrequencydivisionmultiplexingbasedcognitiveamplifyandforwardrelayingnetworks AT tianqingzhou jointresourceoptimizationfororthogonalfrequencydivisionmultiplexingbasedcognitiveamplifyandforwardrelayingnetworks |