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 amplify and forward relaying power and location optimization"
  Abstract: In this paper, we consider a full-duplex (FD) amplify-and-forward (AF) relay system and optimize its power allocation and relay location to minimize the system symbol error rate (SER). We first derive the asymptotic expressions of the outage probability and SER performance by taking into account the residual self interference (RSI) in FD systems. We then formulate the optimization problem based on the minimal SER criterion. Analytical and numerical results show that optimized relay location and power allocation can greatly improve system SER performance, and the performance floor caused by the RSI can be significantly reduced via optimizing relay location or power allocation.

Connected through hyperedge HE-1 (induced by source paper "sub channel allocation for device to device underlaying full duplex mmwave small cells using coalition formation games"):
  with members:
    - "on low resolution adcs in practical 5g millimeter wave massive mimo systems"
    - "joint power allocation and beamforming for non orthogonal multiple access noma in 5g millimeter wave communications"
    - "full duplex millimeter wave communication"
    - "game theoretic dynamic channel allocation for frequency selective interference channels"
    - "leveraging social communities for optimizing cellular device to device communications"
    - "on the spectral efficiency of massive mimo systems with low resolution adcs"
    - "exploiting device to device communications in joint scheduling of access and backhaul for mmwave small cells"
    - "efficiency resource allocation for device to device underlay communication systems a reverse iterative combinatorial auction based approach"

Connected through hyperedge HE-2 (induced by source paper "coalition game based full duplex concurrent scheduling in millimeter wave wireless backhaul network"):
  with members:
    - "device to device communications enabled energy efficient multicast scheduling in mmwave small cells"
    - "qos aware full duplex concurrent scheduling for millimeter wave wireless backhaul networks"
    - "hierarchical codebook design for beamforming training in millimeter wave communication"
    - "boosting spatial reuse via multiple path multihop scheduling for directional mmwave wpans"
    - "exploiting device to device communications in joint scheduling of access and backhaul for mmwave small cells"
    - "in band full duplex wireless challenges and opportunities"

Connected through hyperedge HE-3 (induced by source paper "qos aware full duplex concurrent scheduling for millimeter wave wireless backhaul networks"):
  with members:
    - "full duplex millimeter wave communication"
    - "hierarchical codebook design for beamforming training in millimeter wave communication"
    - "exploiting device to device communications in joint scheduling of access and backhaul for mmwave small cells"
    - "a survey of millimeter wave mmwave communications for 5g opportunities and challenges"
    - "wireless backhaul node placement for small cell networks"
    - "in band full duplex wireless challenges and opportunities"
    - "coding the beams improving beamforming training in mmwave communication system"

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)