Delay minimization based uplink resource allocation for device-to-device communications considering mmWave propagation
This paper addresses the resource allocation problem in multi-sharing uplink for device-to-device (D2D) communication, one aspect of 5G communication networks. The main advantage and motivation in relation to the use of D2D communication is the significant improvement in the spectral efficiency of t...
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2021-04-01
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| Series: | PeerJ Computer Science |
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| Online Access: | https://peerj.com/articles/cs-462.pdf |
| _version_ | 1818850628725637120 |
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| author | Marcus V.G. Ferreira Flávio Henrique Teles Vieira |
| author_facet | Marcus V.G. Ferreira Flávio Henrique Teles Vieira |
| author_sort | Marcus V.G. Ferreira |
| collection | DOAJ |
| description | This paper addresses the resource allocation problem in multi-sharing uplink for device-to-device (D2D) communication, one aspect of 5G communication networks. The main advantage and motivation in relation to the use of D2D communication is the significant improvement in the spectral efficiency of the system when exploiting the proximity of communication pairs and reusing idle resources of the network, mainly in the uplink mode, where there are more idle available resources. An approach is proposed for allocating resources to D2D and cellular user equipments (CUE) users in the uplink of a 5G based network which considers the estimation of delay bound value. The proposed algorithm considers minimization of total delay for users in the uplink and solves the problem by forming conflict graph and by finding the maximal weight independent set. For the user delay estimation, an approach is proposed that considers the multifractal traffic envelope process and service curve for the uplink. The performance of the algorithm is evaluated through computer simulations in comparison with those of other algorithms in the literature in terms of throughput, delay, fairness and computational complexity in a scenario with channel modeling that describes the propagation of millimeter waves at frequencies above 6 GHz. Simulation results show that the proposed allocation algorithm outperforms other algorithms in the literature, being highly efficient to 5G systems. |
| first_indexed | 2024-12-19T06:52:09Z |
| format | Article |
| id | doaj.art-4b2ad4fd58464496966f2a2c846fac8e |
| institution | Directory Open Access Journal |
| issn | 2376-5992 |
| language | English |
| last_indexed | 2024-12-19T06:52:09Z |
| publishDate | 2021-04-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ Computer Science |
| spelling | doaj.art-4b2ad4fd58464496966f2a2c846fac8e2022-12-21T20:31:41ZengPeerJ Inc.PeerJ Computer Science2376-59922021-04-017e46210.7717/peerj-cs.462Delay minimization based uplink resource allocation for device-to-device communications considering mmWave propagationMarcus V.G. Ferreira0Flávio Henrique Teles Vieira1Universidade Federal de Goiás, Instituto de Informática, Goiânia, Goiás, BrazilUniversidade Federal de Goiás, Instituto de Informática, Goiânia, Goiás, BrazilThis paper addresses the resource allocation problem in multi-sharing uplink for device-to-device (D2D) communication, one aspect of 5G communication networks. The main advantage and motivation in relation to the use of D2D communication is the significant improvement in the spectral efficiency of the system when exploiting the proximity of communication pairs and reusing idle resources of the network, mainly in the uplink mode, where there are more idle available resources. An approach is proposed for allocating resources to D2D and cellular user equipments (CUE) users in the uplink of a 5G based network which considers the estimation of delay bound value. The proposed algorithm considers minimization of total delay for users in the uplink and solves the problem by forming conflict graph and by finding the maximal weight independent set. For the user delay estimation, an approach is proposed that considers the multifractal traffic envelope process and service curve for the uplink. The performance of the algorithm is evaluated through computer simulations in comparison with those of other algorithms in the literature in terms of throughput, delay, fairness and computational complexity in a scenario with channel modeling that describes the propagation of millimeter waves at frequencies above 6 GHz. Simulation results show that the proposed allocation algorithm outperforms other algorithms in the literature, being highly efficient to 5G systems.https://peerj.com/articles/cs-462.pdf5GD2DmmWavesDelayMulti-sharing |
| spellingShingle | Marcus V.G. Ferreira Flávio Henrique Teles Vieira Delay minimization based uplink resource allocation for device-to-device communications considering mmWave propagation PeerJ Computer Science 5G D2D mmWaves Delay Multi-sharing |
| title | Delay minimization based uplink resource allocation for device-to-device communications considering mmWave propagation |
| title_full | Delay minimization based uplink resource allocation for device-to-device communications considering mmWave propagation |
| title_fullStr | Delay minimization based uplink resource allocation for device-to-device communications considering mmWave propagation |
| title_full_unstemmed | Delay minimization based uplink resource allocation for device-to-device communications considering mmWave propagation |
| title_short | Delay minimization based uplink resource allocation for device-to-device communications considering mmWave propagation |
| title_sort | delay minimization based uplink resource allocation for device to device communications considering mmwave propagation |
| topic | 5G D2D mmWaves Delay Multi-sharing |
| url | https://peerj.com/articles/cs-462.pdf |
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