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20182023
most citedReinforcement Learning Based Dynamic Function Splitting in Disaggregated Green Open RANs

60 citations · 224 across the 12 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.NI2020★ 60 cited

Reinforcement Learning Based Dynamic Function Splitting in Disaggregated Green Open RANs

Turgay Pamuklu, Melike Erol-Kantarci, Cem Ersoy

With the growing momentum around Open RAN (O-RAN) initiatives, performing dynamic Function Splitting (FS) in disaggregated and virtualized Radio Access Networks (vRANs), in an effi…

cs.NI2020★ 4 cited

Renewable Energy Assisted Function Splitting in Cloud Radio Access Networks

Turgay Pamuklu, Cicek Cavdar, Cem Ersoy

Cloud-Radio Access Network (C-RAN) is a promising network architecture to reduce energy consumption and the increasing number of base station deployment costs in mobile networks. H…

cs.NI2020★ 5 cited

Reducing the total cost of ownership in radio access networks by using renewable energy resources

Turgay Pamuklu, Cem Ersoy

Increasing electricity prices motivates the mobile network operators to find new energy-efficient solutions for radio access networks (RANs). In this study, we focus on a specific…

cs.NI2020★ 14 cited

GROVE: A Cost-Efficient Green Radio over Ethernet Architecture for Next Generation Radio Access Network

Turgay Pamuklu, Cem Ersoy

Centralized/Cloud Radio Access Network (C-RAN) comes into prominence to reduce the rising energy consumptions and maintenance difficulties of the next-generation networks. However,…

cs.HC2020★ 35 cited

Is Your Smartband Smart Enough to Know Who You Are: Continuous Physiological Authentication in The Wild

Deniz Ekiz, Yekta Said Can, Yagmur Ceren Dardagan +1

The use of cloud services that process privacy-sensitive information such as digital banking, pervasive healthcare, smart home applications requires an implicit continuous authenti…