Joint Optimization of User Association and Resource Allocation for Millimeter-Wave Integrated Backhaul and Access Network
Since the millimeter wave integrated backhaul and access network(mm-Wave IBAN) can divide the resource ratio between the access and the backhaul link as needed, there is a huge advantage in the improvement of the utilization rate for 5G communication network. A joint optimization method of user asso...
| Format: | Article |
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| Language: | zho |
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EDP Sciences
2019-10-01
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| Series: | Xibei Gongye Daxue Xuebao |
| Subjects: | |
| Online Access: | https://www.jnwpu.org/articles/jnwpu/full_html/2019/05/jnwpu2019375p943/jnwpu2019375p943.html |
| _version_ | 1797427258126761984 |
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| collection | DOAJ |
| description | Since the millimeter wave integrated backhaul and access network(mm-Wave IBAN) can divide the resource ratio between the access and the backhaul link as needed, there is a huge advantage in the improvement of the utilization rate for 5G communication network. A joint optimization method of user association and resource allocation is proposed and implemented for the mm-Wave IBAN from the perspective of the maximization of the transmission traffic in the whole network. The joint optimization problem of the user association and the resource allocation is formulated as a combined non-convex optimization problem, and then the problem is decomposed into two sub-problems. The first sub-problem, which is aimed at the maximization of the whole access rate, is the problem of the user association under the condition of the match between the access rate and backhaul rate. The second sub-problem, which is aimed at the maximization of the whole traffic of the network, is the problem of the resources allocation between the access link and backhaul link. The artificial immune optimization algorithm (IOA) is used to solve the first sub-problem. After that, the optimal transmission resource ratio between the access link and backhaul link is obtained according to the differentiating of the expression for the whole traffic. The simulation results show that the proposed method has more gains in the improvement of the whole network traffic when compared with the user association mechanism based on the nearest distance. |
| first_indexed | 2024-03-09T08:42:39Z |
| format | Article |
| id | doaj.art-2b274e9fd84d401ca8428f1f857741a0 |
| institution | Directory Open Access Journal |
| issn | 1000-2758 2609-7125 |
| language | zho |
| last_indexed | 2024-03-09T08:42:39Z |
| publishDate | 2019-10-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | Xibei Gongye Daxue Xuebao |
| spelling | doaj.art-2b274e9fd84d401ca8428f1f857741a02023-12-02T16:29:33ZzhoEDP SciencesXibei Gongye Daxue Xuebao1000-27582609-71252019-10-0137594395110.1051/jnwpu/20193750943jnwpu2019375p943Joint Optimization of User Association and Resource Allocation for Millimeter-Wave Integrated Backhaul and Access Network012School of Electronics and Information, Northwestern Polytechnical UniversitySchool of Electronics and Information, Northwestern Polytechnical UniversitySchool of Electronics and Information, Northwestern Polytechnical UniversitySince the millimeter wave integrated backhaul and access network(mm-Wave IBAN) can divide the resource ratio between the access and the backhaul link as needed, there is a huge advantage in the improvement of the utilization rate for 5G communication network. A joint optimization method of user association and resource allocation is proposed and implemented for the mm-Wave IBAN from the perspective of the maximization of the transmission traffic in the whole network. The joint optimization problem of the user association and the resource allocation is formulated as a combined non-convex optimization problem, and then the problem is decomposed into two sub-problems. The first sub-problem, which is aimed at the maximization of the whole access rate, is the problem of the user association under the condition of the match between the access rate and backhaul rate. The second sub-problem, which is aimed at the maximization of the whole traffic of the network, is the problem of the resources allocation between the access link and backhaul link. The artificial immune optimization algorithm (IOA) is used to solve the first sub-problem. After that, the optimal transmission resource ratio between the access link and backhaul link is obtained according to the differentiating of the expression for the whole traffic. The simulation results show that the proposed method has more gains in the improvement of the whole network traffic when compared with the user association mechanism based on the nearest distance.https://www.jnwpu.org/articles/jnwpu/full_html/2019/05/jnwpu2019375p943/jnwpu2019375p943.html5g millimeter waveintegrated backhaul and access network (iban)user associationresource allocationimmune optimization |
| spellingShingle | Joint Optimization of User Association and Resource Allocation for Millimeter-Wave Integrated Backhaul and Access Network Xibei Gongye Daxue Xuebao 5g millimeter wave integrated backhaul and access network (iban) user association resource allocation immune optimization |
| title | Joint Optimization of User Association and Resource Allocation for Millimeter-Wave Integrated Backhaul and Access Network |
| title_full | Joint Optimization of User Association and Resource Allocation for Millimeter-Wave Integrated Backhaul and Access Network |
| title_fullStr | Joint Optimization of User Association and Resource Allocation for Millimeter-Wave Integrated Backhaul and Access Network |
| title_full_unstemmed | Joint Optimization of User Association and Resource Allocation for Millimeter-Wave Integrated Backhaul and Access Network |
| title_short | Joint Optimization of User Association and Resource Allocation for Millimeter-Wave Integrated Backhaul and Access Network |
| title_sort | joint optimization of user association and resource allocation for millimeter wave integrated backhaul and access network |
| topic | 5g millimeter wave integrated backhaul and access network (iban) user association resource allocation immune optimization |
| url | https://www.jnwpu.org/articles/jnwpu/full_html/2019/05/jnwpu2019375p943/jnwpu2019375p943.html |