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Hoshyar Mohammed
Tsinghua University
Markov decision processMathematical optimizationComputational complexity theoryEfficient energy useEnergy consumption
2Publications
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Publications 2
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#1Hoshyar Mohammed (THU: Tsinghua University)
#2Zhijie Chen (Stanford University)
Last. Chen Wei (THU: Tsinghua University)H-Index: 26
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Content caching provides a rare trade-off opportunity between low-cost memory and energy consumption, yet finding the optimal causal policy with low computational complexity remains a challenge. In this paper, we formulate the problem of joint pushing and caching at end users in a Markov decision process (MDP) framework with the aim of minimizing energy cost under causal knowledge of the user request delay information and strict delay constraint. We put forth a novel approach to decouple the inf...
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May 1, 2018 in ICC (International Conference on Communications)
#1Zhijie Chen (Stanford University)
#2Hoshyar Mohammed (THU: Tsinghua University)
Last. Chen Wei (THU: Tsinghua University)H-Index: 26
view all 3 authors...
Content caching in wireless networks provides a substantial opportunity to trade off low cost memory storage with energy consumption, yet finding the optimal causal policy with low computational complexity remains a challenge. This paper models the Joint Pushing and Caching (JPC) problem as a Markov Decision Process (MDP) and provides a solution to determine the optimal randomized policy. A novel approach to decouple the influence from buffer occupancy and user requests is proposed to turn the h...
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