Fair resource allocation in virtualized o-ran platforms

HIGHLIGHTS

• What: To illustrate this, the authors show in Fig 2 experimental results obtained using the testbed platform described in Sec 6. The authors focus on two key resource management problems that affect the vRANs` performance and energy, and design a computing control and a radio control policy to tackle them. The authors design a novel optimization toolbox for the above compute and radio control policies based on online learning, cf. The authors develop a lightweight learning framework for designing control policies which: (i) assign fairly the vBSs` compute workloads to O-Cloud processing units; and_(ii) decide . . .
  

   

  

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