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 "discussions on signal uncertainty principle in shannon channel capacity equation and research on breaking shannon limit method"):
  Abstract: So far, the transmission rate of digital communication has approached the theoretical upper limit proposed by Shannon 70 years ago, and the academia and industry circles are puzzled by the lack of new theories to point out the direction of further increasing the transmission rate. In this paper, the completeness of Shannon channel capacity equation is analyzed in the framework of signal uncertainty principle, which brings the Shannon theory a more solid physical theoretical basis. Then the theoretical method of breaking through the Shannon Limit is proposed. Finally, it is proved that the time-shifted non-orthogonal multi-carrier digital modulation technology which we have studied for more than 20 years is a practical method to break through the Shannon Limit.

Includes members:
  Member "power domain non orthogonal multiple access noma in 5g systems potentials and challenges":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "mimo noma networks relying on reconfigurable intelligent surface a signal cancellation based design")
  Member "a survey on low latency towards 5g ran core network and caching solutions":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the design of dynamic probabilistic caching with time varying content popularity")
  Member "mixed adc massive mimo":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a regression approach to certain information transmission problems")
  Member "index modulation techniques for 5g wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a survey on spatial modulation in emerging wireless systems research progresses and applications")
  Member "a survey of energy efficient techniques for 5g networks and challenges ahead":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "5g network slicing using sdn and nfv a survey of taxonomy architectures and future challenges")
  Member "energy efficiency in massive mimo based 5g networks opportunities and challenges":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "joint transmit and circuit power minimization in massive mimo with downlink sinr constraints when to turn on massive mimo")

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)