human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "energy efficient predictive resource allocation for vod and real time services"):
  Abstract: This paper studies how to exploit the predicted information to maximize energy efficiency (EE) of a system supporting hybrid services. To obtain an EE upper bound of predictive resource allocation, we jointly optimize resource allocation for video on-demand (VoD) and real-time (RT) services to maximize EE by exploiting perfect future large-scale channel gains. We find that the EE-optimal predictive resource allocation is a two-timescale policy, which makes a resources usage plan at the beginning of prediction window and allocates resources in each time slot. Analysis shows that if there is only VoD service, predicting large-scale channel gains and distribution of small-scale channel gains are necessary to achieve the EE upper bound. If there is only RT service, future large-scale channel gains cannot help improve EE. However, if there are both VoD and RT services, predicting large-scale channel gains of both kinds of users are helpful. A low-complexity is proposed, which is robust to prediction errors. Simulation results show that the optimal policy is superior to the relevant counterparts, and the heuristic policy can achieve higher EE than the optimal policy when the large-scale channel gains are inaccurate.

Includes members:
  Member "fundamental green tradeoffs progresses challenges and impacts on 5g networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "beamforming optimization for intelligent reflecting surface assisted mimo a sum path gain maximization approach")
  Member "kernel based adaptive online reconstruction of coverage maps with side information":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "boosting vehicle to cloud communication by machine learning enabled context prediction")
  Member "an overview of sustainable green 5g networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "cross layer scheduling and beamforming in smart grid powered cellular networks with heterogeneous energy coordination")
  Member "adaptive video streaming for wireless networks with multiple users and helpers":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "wireless caching helper system with heterogeneous traffic and random availability")
  Member "predictive green wireless access exploiting mobility and application information":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a survey of anticipatory mobile networking context based classification prediction methodologies and optimization techniques")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.IT(Information Theory)