human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "coalitional games in partition form for joint spectrum sensing and access in cognitive radio networks"
  Abstract: Unlicensed secondary users (SUs) in cognitive radio networks are subject to an inherent tradeoff between spectrum sensing and spectrum access. Although each SU has an incentive to sense the primary user (PU) channels for locating spectrum holes, this exploration of the spectrum can come at the expense of a shorter transmission time, and, hence, a possibly smaller capacity for data transmission. This paper investigates the impact of this tradeoff on the cooperative strategies of a network of SUs that seek to cooperate in order to improve their view of the spectrum (sensing), reduce the possibility of interference among each other, and improve their transmission capacity (access). The problem is modeled as a coalitional game in partition form and an algorithm for coalition formation is proposed. Using the proposed algorithm, the SUs can make individual distributed decisions to join or leave a coalition while maximizing their utilities which capture the average time spent for sensing as well as the capacity achieved while accessing the spectrum. It is shown that, by using the proposed algorithm, the SUs can self-organize into a network partition composed of disjoint coalitions, with the members of each coalition cooperating to jointly optimize their sensing and access performance. Simulation results show the performance improvement that the proposed algorithm yields with respect to the noncooperative case. The results also show how the algorithm allows the SUs to self-adapt to changes in the environment such as changes in the traffic of the PUs, or slow mobility.

Connected through hyperedge HE-1 (induced by source paper "shipper cooperation in stochastic drone delivery a dynamic bayesian game approach"):
  with members:
    - "joint ground and aerial package delivery services a stochastic optimization approach"
    - "algorithms for routing an unmanned aerial vehicle in the presence of refueling depots"

Connected through hyperedge HE-2 (induced by source paper "multi beam noma for hybrid mmwave systems"):
  with members:
    - "on low resolution adcs in practical 5g millimeter wave massive mimo systems"
    - "a multi beam noma framework for hybrid mmwave systems"
    - "rate splitting multiple access for downlink communication systems bridging generalizing and outperforming sdma and noma"
    - "optimal resource allocation for power efficient mc noma with imperfect channel state information"
    - "optimal user scheduling and power allocation for millimeter wave noma systems"
    - "millimeter wave communication with non orthogonal multiple access for 5g"
    - "spectrum and energy efficient beamspace mimo noma for millimeter wave communications using lens antenna array"
    - "multi user precoding and channel estimation for hybrid millimeter wave systems"

Connected through hyperedge HE-3 (induced by source paper "solutions of partition function based tu games for cooperative communication networking"):
  with members:
    - "the geometric lattice of embedded subsets"
    - "coalition formation games for collaborative spectrum sensing"
    - "the lattice of embedded subsets"
    - "coalitional game theory for communication networks a tutorial"

Connected through hyperedge HE-4 (induced by source paper "distributed clustering for multiuser networks through coalition formation"):
  with members:
    - "distributed long term base station clustering in cellular networks using coalition formation"
    - "coalitional games in miso interference channels epsilon core and coalition structure stable set"

Connected through hyperedge HE-5 (induced by source paper "distributed long term base station clustering in cellular networks using coalition formation"):
  with members:
    - "adaptive pilot clustering in heterogeneous massive mimo networks"
    - "globally optimal base station clustering in interference alignment based multicell networks"
    - "cooperative base station coloring for pair wise multi cell coordination"
    - "overhead aware distributed csi selection in the mimo interference channel"
    - "interference alignment aided base station clustering using coalition formation"
    - "what will 5g be"
    - "on the feasibility of linear interference alignment for mimo interference broadcast channels with constant coefficients"
    - "fundamental limits of cooperation"

Connected through hyperedge HE-6 (induced by source paper "adaptive pilot clustering in heterogeneous massive mimo networks"):
  with members:
    - "pilot clustering in asymmetric massive mimo networks"
    - "massive mimo with non ideal arbitrary arrays hardware scaling laws and circuit aware design"
    - "coalitional games in miso interference channels epsilon core and coalition structure stable set"
    - "blind pilot decontamination"
    - "massive mimo for maximal spectral efficiency how many users and pilots should be allocated"
    - "scaling up mimo opportunities and challenges with very large arrays"
    - "a coordinated approach to channel estimation in large scale multiple antenna systems"
    - "achieving massive mimo spectral efficiency with a not so large number of antennas"

Connected through hyperedge HE-7 (induced by source paper "game theoretic framework for cooperative sensing and fair spectrum access in multichannel cognitive radio networks"):
  with members:
    - "matching theory for future wireless networks fundamentals and applications"
    - "distributed cooperative sensing in cognitive radio networks an overlapping coalition formation approach"
    - "coalition formation games for collaborative spectrum sensing"

Connected through hyperedge HE-8 (induced by source paper "a sensing contribution based two layer game for channel selection and spectrum access in cognitive radio ad hoc networks"):
  with members:
    - "matching theory for future wireless networks fundamentals and applications"
    - "distributed cooperative sensing in cognitive radio networks an overlapping coalition formation approach"

Question: Please tell me which class the center node 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)