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Dynamic Joint Allocation of Optical and Radio Resources in Converged Sliceable xhaul Networks

Aarabi, Amirhosein | 2024

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 57026 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Pakravan, Mohammad Reza; Hadi, Mohammad
  7. Abstract:
  8. Optimal resource allocation sustains mobile operators' competitiveness by increasing profitability. Reducing system configuration costs and enhancing accepting new requests to boost revenue provide increasing profitability. A crucial strategy in modern communication frameworks is network slicing, which assigns specific network resources to each customer to ensure its required quality of service (QoS) without interference from other slices. In our study, focusing on the xhaul network structure within fifth-generation mobile networks, we delve into joint optimization of the allocation process across three dimensions of processing, radio, and communication resources to enhance operator profitability. The optimization not only includes network functionalities mapping and traffic routing but also encompasses a flexible selection of functional splits to further enhance system performance. To provide a practically deployable optimization process, we propose a method grounded in modified stochastic optimization of function compositions. This method yields acceptable network configurations, where delay constraints, as important QoS factors, are almost assured (more than 97%). As demonstrated by the simulation results, the convergence speed and accuracy of the proposed method are satisfactory across low to medium-load networking conditions. We investigate the impact of fixed and flexible functional splits selection, as well as metro and access node processing capacity, on operator profit and system behavior. Our findings highlight a trade-off between metro and node processing capacity, suggesting that in networks with limited metro processing capacity, increasing access node processing capacity can lead to a significant 30% boost in operator profit
  9. Keywords:
  10. Resources Allocation ; Functional Split ; xhaul Networks ; Fifth Generation of Mobile Networks ; Stochastic Composition Optimization ; Network Slicing

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