Stateful DBA Hypervisor Supporting SLAs with Low Latency &amp; High Availability in Shared PON

Slyne, Frank; Zeb, Sanwal; Ruffini, Marco

doi:10.1364/ofc.2021.w6a.48

Cited by 6 publications

(1 citation statement)

References 3 publications

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“…Recently, ITU-T has drafted recommendations for using TWDM-PONs as an optical front/midhaul solution as TWDM-PONs can support 100 Gbps or more aggregated datarate (i.e., in upcoming standardization) which can be scaled further by combining additional wavelengths [32]. Moreover, other recent work has addressed PON slicing isolation [33] and compliance with service level agreement (SLAs) [34]. Thus, TWDM-PON-based interfaces are used to connect both the macro and small-cell RUs to a CO with multi-level reflective splitters.…”

Section: Multi-tenant O-ran Architecturementioning

confidence: 99%

Fairness Guaranteed and Auction-Based x-Haul and Cloud Resource Allocation in Multi-Tenant O-RANs

Mondal

Ruffini

2023

IEEE Trans. Commun.

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The open-radio access network (O-RAN) embraces cloudification and network function virtualization for baseband function processing by dis-aggregated radio units (RUs), distributed units (DUs), and centralized units (CUs). These enable the cloud-RAN vision in full, where multiple mobile network operators (MNOs) can install their proprietary or open RUs, but lease on-demand computational resources for DU-CU functions from commonly available open-clouds via open x-haul interfaces. In this paper, we propose and compare the performances of min-max fairness and Vickrey-Clarke-Groves (VCG) auction-based x-haul and DU-CU resource allocation mechanisms to create a multi-tenant O-RAN ecosystem that is sustainable for small, medium, and large MNOs. The min-max fair approach minimizes the maximum OPEX of RUs through cost-sharing proportional to their demands, whereas the VCG auction-based approach minimizes the total OPEX for all resources utilized while extracting truthful demands from RUs. We consider time-wavelength division multiplexed (TWDM) passive optical network (PON)-based xhaul interfaces where PON virtualization technique is used to flexibly provide optical connections among RUs and edgeclouds at macro-cell RU locations as well as open-clouds at the central office locations. Moreover, we design efficient heuristics that yield significantly better economic efficiency and network resource utilization than conventional greedy resource allocation algorithms and reinforcement learning-based algorithms.

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Section: Multi-tenant O-ran Architecturementioning

confidence: 99%