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 scheduling and grouping for machine type communications over cellular networks"):
  Abstract: Abstract   In this paper, energy-efficient scheduling and grouping for battery-driven machine-type devices in cellular networks is investigated. We introduce a scheduling-based cooperation incentive scheme which enables machine nodes to organize themselves locally, create machine groups, and communicate through group representatives to the base station. This scheme benefits from a novel scheduler design which takes into account the cooperation level of each node, reimburses the extra energy consumptions of group representatives, and maximizes the network lifetime. As reusing cellular uplink resources for communications inside the groups degrades the Quality of Service (QoS) of the primary users, analytical results are provided which present a tradeoff between maximum allowable number of simultaneously active machine groups in a given cell and QoS of the primary users. Furthermore, we extend our derived solutions for the existing cellular networks, propose a cooperation-incentive LTE scheduler, and present our simulation results in the context of LTE. The simulation results show that the proposed solutions significantly prolong the network lifetime. Also, it is shown that under certain circumstances, reusing uplink resource by machine devices can degrade the outage performance of the primary users significantly, and hence, coexistence management of machine devices and cellular users is of paramount importance for next generations of cellular networks in order to enable group-based machine-type communications while guaranteeing QoS for the primary users.

Includes members:
  Member "e 2 mac energy efficient medium access for massive m2m communications":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "performance evaluation and optimization of lpwa iot networks a stochastic geometry approach")
  Member "understanding the iot connectivity landscape a contemporary m2m radio technology roadmap":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a novel communication paradigm for high capacity and security via programmable indoor wireless environments in next generation wireless systems")
  Member "aggregation and trunking of m2m traffic via d2d connections":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "self organized scheduling request for uplink 5g networks a d2d clustering approach")
  Member "a survey on device to device communication in cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "simultaneous energy harvesting and information transmission in a mimo full duplex system a machine learning based design")
  Member "zero outage cellular downlink with fixed rate d2d underlay":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "energy efficiency and sum rate tradeoffs for massive mimo systems with underlaid device to device communications")
  Member "reliable reporting for massive m2m communications with periodic resource pooling":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "sleeping multi armed bandit learning for fast uplink grant allocation in machine type communications")
  Member "power efficient system design for cellular based machine to machine communications":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "joint energy and sinr coverage in spatially clustered rf powered iot network")

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)