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: "full duplex cloud ran with uplink downlink remote radio head association"
  Abstract: This paper considers a cloud radio access network (C-RAN) where spatially distributed remote radio heads (RRHs) communicate with a full-duplex user. In order to reflect a realistic scenario, the uplink (UL) and downlink (DL) RRHs are assumed to be equipped with multiple antennas and distributed according to a Poisson point process. We consider all participate and nearest RRH association schemes with distributed beamforming in the form of maximum ratio combining/maximal ratio transmission (MRC/MRT) and zero-forcing/MRT(ZF/MRT) processing. We derive analytical expressions useful to compare the average sum rate among association schemes as a function of the number of RRHs antennas and density of the UL and DL RRHs. Numerical results show that significant performance improvements can be achieved by using the full-duplex mode as compared to the half-duplex mode, while the choice of the beamforming design as well as the RRH association scheme plays a critical role in determining the full-duplex gains.

Connected through hyperedge HE-1 (induced by source paper "uplink performance of multi antenna cellular networks with co operative base stations and user centric clustering"):
  with members:
    - "ergodic spectral efficiency in mimo cellular networks"
    - "on a user centric base station cooperation scheme for reliable communications"
    - "heterogeneous cellular networks with spatio temporal traffic delay analysis and scheduling"
    - "cooperative base station coloring for pair wise multi cell coordination"
    - "the world s first real time testbed for massive mimo design implementation and validation"
    - "uplink and downlink rate analysis of a full duplex c ran with radio remote head association"
    - "distributed massive mimo in cellular networks impact of imperfect hardware and number of oscillators"
    - "massive mimo with non ideal arbitrary arrays hardware scaling laws and circuit aware design"

Connected through hyperedge HE-2 (induced by source paper "massive mimo enabled full duplex cellular networks"):
  with members:
    - "self interference in full duplex multi user mimo channels"
    - "secrecy and energy efficiency in massive mimo aided heterogeneous c ran a new look at interference"
    - "large antenna analysis of multi cell full duplex networks"
    - "directional antennas for interference management in full duplex cellular networks"
    - "full duplex cellular networks it works"
    - "statistical qos analysis of full duplex and half duplex heterogeneous cellular networks"
    - "analytical modeling of interference aware power control for the uplink of heterogeneous cellular networks"
    - "throughput analysis and optimization of wireless powered multiple antenna full duplex relay systems"

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)