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20082025
most citedA Deep Reinforcement Learning-Based Framework for Content Caching

12 citations · 98 across the 61 of their papers we have counts for

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5 papers · 1 filter

cs.IT2017★ 12 cited

A Deep Reinforcement Learning-Based Framework for Content Caching

Chen Zhong, M. Cenk Gursoy, Senem Velipasalar

Content caching at the edge nodes is a promising technique to reduce the data traffic in next-generation wireless networks. Inspired by the success of Deep Reinforcement Learning (…

cs.IT2017★ 4 cited

Joint Mode Selection and Resource Allocation for D2D Communications via Vertex Coloring

Yi Li, M. Cenk Gursoy, Senem Velipasalar +1

Device-to-device (D2D) communication underlaid with cellular networks is a new paradigm, proposed to enhance the performance of cellular networks. By allowing a pair of D2D users t…

cs.IT2017

Intercell Interference-Aware Scheduling for Delay Sensitive Applications in C-RAN

Yi Li, M. Cenk Gursoy, Senem Velipasalar

Cloud radio access network (C-RAN) architecture is a new mobile network architecture that enables cooperative baseband processing and information sharing among multiple cells and a…

cs.IT2017

Quality-Driven Resource Allocation for Full-Duplex Delay-Constrained Wireless Video Transmissions

Chuang Ye, M. Cenk Gursoy, Senem Velipasalar

In this paper, wireless video transmission over full-duplex channels under total bandwidth and minimum required quality constraints is studied. In order to provide the desired perf…

cs.IT2017★ 2 cited

A Delay-Aware Caching Algorithm for Wireless D2D Caching Networks

Yi Li, M. Cenk Gursoy, Senem Velipasalar

Recently, wireless caching techniques have been studied to satisfy lower delay requirements and offload traffic from peak periods. By storing parts of the popular files at the mobi…