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Energy savings scheme in radio access networks via compressive sensing-based traffic load prediction.

, , , and . Trans. Emerging Telecommunications Technologies, 25 (4): 468-478 (2014)

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A game-theoretic approach for optimal base station sleeping in green cellular networks., , , , and . WCSP, page 1-6. IEEE, (2014)Optimal Base Station Sleeping in Green Cellular Networks: A Distributed Cooperative Framework Based on Game Theory., , , , and . IEEE Trans. Wireless Communications, 14 (8): 4391-4406 (2015)Large-Scale Spatial Distribution Identification of Base Stations in Cellular Networks., , , , , , , and . IEEE Access, (2015)Network slicing as a service: enabling enterprises' own software-defined cellular networks., , , and . IEEE Communications Magazine, 54 (7): 146-153 (2016)Characterizing spatial patterns of base stations in cellular networks., , , , , and . ICCC, page 490-495. IEEE, (2014)Study on Base Station Topology in Cellular Networks: Take Advantage of Alpha Shapes, Betti Numbers, and Euler Characteristics., , , and . CoRR, (2018)On the Capacity of Wireless Networks with Fractal and Hierarchical Social Communications., , , and . CoRR, (2017)Effect of Spatial and Temporal Traffic Statistics on the Performance of Wireless Networks., , , , , and . CoRR, (2018)Traffic Prediction Based on Random Connectivity in Deep Learning with Long Short-Term Memory., , , , , and . CoRR, (2017)GAN-based Deep Distributional Reinforcement Learning for Resource Management in Network Slicing., , , , and . CoRR, (2019)