Optimal Multi-Objective Resource Allocation for D2D Underlaying Cellular Networks in Uplink Communications
In this paper, we study a resource allocation problem in orthogonal frequency division multiple access (OFDMA)-based Device-to-Device (D2D) communications. To this end, we propose a multi-objective optimization problem (MOOP) framework, which jointly maximizes the sum rate of D2D users (DUs) and cel...
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9497112/ |
| _version_ | 1818595961228754944 |
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| author | Siavash Bayat Jalal Jalali Ata Khalili Mohammad Robat Mili Sabine Wittevrongel Heidi Steendam |
| author_facet | Siavash Bayat Jalal Jalali Ata Khalili Mohammad Robat Mili Sabine Wittevrongel Heidi Steendam |
| author_sort | Siavash Bayat |
| collection | DOAJ |
| description | In this paper, we study a resource allocation problem in orthogonal frequency division multiple access (OFDMA)-based Device-to-Device (D2D) communications. To this end, we propose a multi-objective optimization problem (MOOP) framework, which jointly maximizes the sum rate of D2D users (DUs) and cellular users (CUs) in uplink communications and minimizes the total transmit power. The proposed problem formulation takes into account the minimum data-rates and the maximum transmitted power budget for both DUs and CUs. We transform this MOOP into a single-objective optimization problem (SOOP) using the weighted sum method and then propose an approach to solve this SOOP via a monotonic approach yielding an efficient optimal solution. Furthermore, a suboptimal solution based on the successive convex approximation (SCA) is presented to compromise complexity and performance gain. This is done to reveal that the proposed suboptimal solution closely approaches an optimal solution through simulation analysis. Numerical results unveil an interesting tradeoff between D2Ds CUs and demonstrate the superiority of our proposed solution compared to other baseline schemes. |
| first_indexed | 2024-12-16T11:24:20Z |
| format | Article |
| id | doaj.art-f104590e27a642f2bc4f9a158c0e6856 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T11:24:20Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-f104590e27a642f2bc4f9a158c0e68562022-12-21T22:33:24ZengIEEEIEEE Access2169-35362021-01-01911415311416610.1109/ACCESS.2021.31003569497112Optimal Multi-Objective Resource Allocation for D2D Underlaying Cellular Networks in Uplink CommunicationsSiavash Bayat0https://orcid.org/0000-0001-9511-3427Jalal Jalali1https://orcid.org/0000-0002-3609-6775Ata Khalili2https://orcid.org/0000-0002-3845-1144Mohammad Robat Mili3https://orcid.org/0000-0003-4120-1872Sabine Wittevrongel4https://orcid.org/0000-0001-6985-8361Heidi Steendam5https://orcid.org/0000-0003-0667-3276Electronics Research Institute, Sharif University of Technology, Tehran, IranDepartment of Telecommunications and Information Processing, TELIN/IMEC, Ghent University, Ghent, BelgiumElectronics Research Institute, Sharif University of Technology, Tehran, IranDepartment of Telecommunications and Information Processing, TELIN/IMEC, Ghent University, Ghent, BelgiumDepartment of Telecommunications and Information Processing, TELIN/IMEC, Ghent University, Ghent, BelgiumDepartment of Telecommunications and Information Processing, TELIN/IMEC, Ghent University, Ghent, BelgiumIn this paper, we study a resource allocation problem in orthogonal frequency division multiple access (OFDMA)-based Device-to-Device (D2D) communications. To this end, we propose a multi-objective optimization problem (MOOP) framework, which jointly maximizes the sum rate of D2D users (DUs) and cellular users (CUs) in uplink communications and minimizes the total transmit power. The proposed problem formulation takes into account the minimum data-rates and the maximum transmitted power budget for both DUs and CUs. We transform this MOOP into a single-objective optimization problem (SOOP) using the weighted sum method and then propose an approach to solve this SOOP via a monotonic approach yielding an efficient optimal solution. Furthermore, a suboptimal solution based on the successive convex approximation (SCA) is presented to compromise complexity and performance gain. This is done to reveal that the proposed suboptimal solution closely approaches an optimal solution through simulation analysis. Numerical results unveil an interesting tradeoff between D2Ds CUs and demonstrate the superiority of our proposed solution compared to other baseline schemes.https://ieeexplore.ieee.org/document/9497112/Device-to-Device (D2D)resource allocationmulti-objective optimization problem (MOOP)weighted sum methodmonotonic optimizationsuccessive convex approximation (SCA) |
| spellingShingle | Siavash Bayat Jalal Jalali Ata Khalili Mohammad Robat Mili Sabine Wittevrongel Heidi Steendam Optimal Multi-Objective Resource Allocation for D2D Underlaying Cellular Networks in Uplink Communications IEEE Access Device-to-Device (D2D) resource allocation multi-objective optimization problem (MOOP) weighted sum method monotonic optimization successive convex approximation (SCA) |
| title | Optimal Multi-Objective Resource Allocation for D2D Underlaying Cellular Networks in Uplink Communications |
| title_full | Optimal Multi-Objective Resource Allocation for D2D Underlaying Cellular Networks in Uplink Communications |
| title_fullStr | Optimal Multi-Objective Resource Allocation for D2D Underlaying Cellular Networks in Uplink Communications |
| title_full_unstemmed | Optimal Multi-Objective Resource Allocation for D2D Underlaying Cellular Networks in Uplink Communications |
| title_short | Optimal Multi-Objective Resource Allocation for D2D Underlaying Cellular Networks in Uplink Communications |
| title_sort | optimal multi objective resource allocation for d2d underlaying cellular networks in uplink communications |
| topic | Device-to-Device (D2D) resource allocation multi-objective optimization problem (MOOP) weighted sum method monotonic optimization successive convex approximation (SCA) |
| url | https://ieeexplore.ieee.org/document/9497112/ |
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