التفاصيل البيبلوغرافية
| العنوان: |
Virtual Resource Allocation for Wireless Virtualized Heterogeneous Network with Hybrid Energy Supply |
| المؤلفون: |
Chang, Zheng, Chen, Tao |
| بيانات النشر: |
Institute of Electrical and Electronics Engineers (IEEE) |
| سنة النشر: |
2022 |
| المجموعة: |
JYX - Jyväskylä University Digital Archive / Jyväskylän yliopiston julkaisuarkisto |
| مصطلحات موضوعية: |
energy harvesting, ADMM, reinforcement learning, deep learning, wireless network virtualization, resource allocation, resursointi, virtualisointi, energian kerääminen, langattomat verkot, koneoppiminen, syväoppiminen |
| الوصف: |
In this work, two novel virtual user association and resource allocation algorithms are introduced for a wireless virtualized heterogeneous network with hybrid energy supply. In the considered system, macro base stations (MBSs) are supplied by the grid power and small base stations (SBSs) have the energy harvesting capability in addition to the grid power supplement. Multiple infrastructure providers (InPs) own the physical resources, i.e., BSs and radio resources. The Mobile Virtual Network Operators (MVNOs) are able to recent these resources from the InPs and operate the virtualized resources for providing services to different users. In particular, aiming to maximize the overall utility for the MVNOs, a joint resource (spectrum and power) allocation and user association problem is presented. First, we present an alternating direction method of multipliers (ADMM)-based algorithm solution to find the near-optimal solution in a static manner. Moreover, we also utilize deep reinforcement learning to design the optimal policy without knowing a priori knowledge of the dynamic nature of networks. We have conducted extensive simulation and the performance evaluation demonstrate the advantages and effectiveness of the proposed schemes. ; peerReviewed |
| نوع الوثيقة: |
article in journal/newspaper |
| وصف الملف: |
application/pdf; 1886-1896; fulltext |
| اللغة: |
English |
| تدمد: |
1536-1276 |
| Relation: |
IEEE Transactions on Wireless Communications; 21; CONVID_100373488 |
| الاتاحة: |
http://urn.fi/URN:NBN:fi:jyu-202302201791 |
| Rights: |
In Copyright ; © 2022, IEEE ; openAccess ; http://rightsstatements.org/page/InC/1.0/?language=en |
| رقم الانضمام: |
edsbas.94EA317C |
| قاعدة البيانات: |
BASE |