2023
DOI: 10.1109/tcomm.2023.3260239
|View full text |Cite
|
Sign up to set email alerts
|

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

Abstract: 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 co… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(3 citation statements)
references
References 43 publications
0
3
0
Order By: Relevance
“…Fairness is a key metric in resource management and has been extensively applied in cloud computing [27,87] and communication systems [5,52], among many others [68,71,75]. More recently, [59,60] focused on max-min throughput fairness in RANs, e.g., via spectrum management; [85] studied the fair allocation of computing capacity to vRAN functions and edge services; [67] considered cost-fairness in multi-tenant O-RANs where operators lease computing for their vBS functions; while [37,45,64] focus on virtualization and slicing. These interesting works, however, do not consider the inherent system and user dynamics in vRANs and/or do not provide fairness guarantees.…”
Section: Fairness and Online Learningmentioning
confidence: 99%
“…Fairness is a key metric in resource management and has been extensively applied in cloud computing [27,87] and communication systems [5,52], among many others [68,71,75]. More recently, [59,60] focused on max-min throughput fairness in RANs, e.g., via spectrum management; [85] studied the fair allocation of computing capacity to vRAN functions and edge services; [67] considered cost-fairness in multi-tenant O-RANs where operators lease computing for their vBS functions; while [37,45,64] focus on virtualization and slicing. These interesting works, however, do not consider the inherent system and user dynamics in vRANs and/or do not provide fairness guarantees.…”
Section: Fairness and Online Learningmentioning
confidence: 99%
“…The development of O-RAN, including architecture, functionality, and implementation, is explored in Ref. [6]. Integration possibilities with Beyond 5G (B5G), scalability, energy efficiency, resource management, and network automation concepts are discussed in Refs.…”
Section: Related Workmentioning
confidence: 99%
“…These concepts refer to the decomposition of software into smaller pieces or microservices, resulting in an application or a function being structured as a collection of loosely coupled stateless and stateful backing services [17]. Adopting a Cloud-Native architecture in O-RAN components would unlock several benefits, including adaptability, efficiency and performance, in which multiple works have conducted their research for the exploitation of the O-RAN capabilities [18,19,20,21].…”
Section: Terrestrial Resourcesmentioning
confidence: 99%