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 "distributed resource allocation for network slicing over licensed and unlicensed bands"):
  Abstract: Network slicing is one of the key enabling technologies for 5G due to its ability to customize and “slice” a common resource to support diverse services and verticals. This paper introduces a novel  inter-operator network slicing framework  in which multiple mobile network operators (MNOs) can coordinate and jointly slice their accessible spectrum resources in both licensed and unlicensed bands. For licensed band slicing, we propose an  inter-operator spectrum aggregation method  that allows two or more MNOs to cooperate and share their licensed bands to support a common set of service types. We then consider the sharing of unlicensed bands. Because all MNOs enjoy equal rights to access these bands, we introduce the concept of  right sharing  for MNOs to share and trade their spectrum access rights. We develop a  modified back-of-the-envelope method  for MNOs to evaluate their  Value-of-Rights  when coexisting with other wireless technologies. A  network slicing game  based on the overlapping coalition formation game is formulated to investigate the possible cooperation among MNOs. We prove that our proposed game always has at least one stable slicing structure that maximizes the social welfare. To implement our proposed framework without requiring MNOs to reveal private information to other MNOs, we develop a distributed algorithm called  distributed alternating direction method of multipliers with partially variable splitting . Performance evaluation of our proposed framework is provided using a discrete-event simulator that is driven by real MNO deployment scenarios based on over 400 base station locations deployed by two primary cellular operators in the city of Dublin. Numerical results show that our proposed frameworks can almost double the capacity for all supported services for each MNO in an urban setting.

Includes members:
  Member "network slicing games enabling customization in multi tenant networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "machine learning for network slicing resource management a comprehensive survey")
  Member "coordination protocol for inter operator spectrum sharing in co primary 5g small cell networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "network resource sharing games with instantaneous reciprocity")
  Member "sharing of unlicensed spectrum by strategic operators":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "cobeam beamforming based spectrum sharing with zero cross technology signaling for 5g wireless networks")
  Member "joint energy and spectrum cooperation for cellular communication systems":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a new relation between energy efficiency and spectral efficiency in wireless communications systems")
  Member "investment and pricing with spectrum uncertainty a cognitive operator s perspective":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "the interplay of competition and cooperation among service providers part ii")
  Member "cooperative games with overlapping coalitions":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "dynamic network slicing for scalable fog computing systems with energy harvesting")

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.NI(Networking and Internet Architecture)