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: "distributed beamforming in wireless multiuser relay interference networks with quantized feedback"
  Abstract: We study quantized beamforming in wireless amplify-and-forward relay-interference networks with any number of transmitters, relays, and receivers. We design the quantizer of the channel state information to minimize the probability that at least one receiver incorrectly decodes its desired symbol(s). Correspondingly, we introduce a generalized diversity measure that encapsulates the conventional one as the first-order diversity. Additionally, it incorporates the second-order diversity, which is concerned with the transmitter power dependent logarithmic terms that appear in the error rate expression. First, we show that, regardless of the quantizer and the amount of feedback that is used, the relay-interference network suffers a second-order diversity loss compared to interference-free networks. Then, two different quantization schemes are studied: First, using a global quantizer, we show that a simple relay selection scheme can achieve maximal diversity. Then, using the localization method, we construct both fixed-length and variable-length local (distributed) quantizers (fLQs and vLQs). Our fLQs achieve maximal first-order diversity, whereas our vLQs achieve maximal diversity. Moreover, we show that all the promised diversity and array gains can be obtained with arbitrarily low feedback rates when the transmitter powers are sufficiently large. Finally, we confirm our analytical findings through simulations.

Connected through hyperedge HE-1 (induced by source paper "cooperative asynchronous non orthogonal multiple access with power minimization under qos constraints"):
  with members:
    - "an analysis of two user uplink asynchronous non orthogonal multiple access systems"
    - "exploiting full half duplex user relaying in noma systems"
    - "a survey on non orthogonal multiple access for 5g networks research challenges and future trends"
    - "outage performance for cooperative noma transmission with an af relay"
    - "wireless network level partial relay cooperation a stable throughput analysis"
    - "interference mitigation using asynchronous transmission and sampling diversity"
    - "cooperative non orthogonal multiple access with simultaneous wireless information and power transfer"
    - "asynchronous orthogonal differential decoding for multiple access channels"

Connected through hyperedge HE-2 (induced by source paper "mmwave amplify and forward mimo relay networks with hybrid precoding combining design"):
  with members:
    - "low rf complexity technologies to enable millimeter wave mimo with large antenna array for 5g wireless communications"
    - "hybrid block diagonalization for massive multiuser mimo systems"
    - "spatially sparse precoding in millimeter wave mimo systems"
    - "transceiver design for dual hop nonregenerative mimo ofdm relay systems under channel uncertainties"
    - "network beamforming using relays with perfect channel information"

Connected through hyperedge HE-3 (induced by source paper "interleaving channel estimation and limited feedback for point to point systems with a large number of transmit antennas"):
  with members:
    - "interleaved training and training based transmission design for hybrid massive antenna downlink"
    - "compressed channel feedback for correlated massive mimo systems"
    - "spatially common sparsity based adaptive channel estimation and feedback for fdd massive mimo"
    - "antenna grouping based feedback compression for fdd based massive mimo systems"
    - "distributed compressive csit estimation and feedback for fdd multi user massive mimo systems"
    - "training sequence design for feedback assisted hybrid beamforming in massive mimo systems"
    - "massive mimo for next generation wireless systems"
    - "downlink training techniques for fdd massive mimo systems open loop and closed loop training with memory"

Connected through hyperedge HE-4 (induced by source paper "power efficient deployment of uavs as relays"):
  with members:
    - "placement optimization of uav mounted mobile base stations"
    - "providing wireless coverage to high rise buildings using uavs"
    - "movement efficient sensor deployment in wireless sensor networks"
    - "deployment and trajectory optimization for uavs a quantization theory approach"
    - "energy efficient uav communication with trajectory optimization"
    - "optimal transport theory for power efficient deployment of unmanned aerial vehicles"
    - "the new frontier in ran heterogeneity multi tier drone cells"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"

Connected through hyperedge HE-5 (induced by source paper "downlink non orthogonal multiple access with limited feedback"):
  with members:
    - "an optimization perspective of the superiority of noma compared to conventional oma"
    - "design of massive mimo noma with limited feedback"
    - "a minorization maximization method for optimizing sum rate in the downlink of non orthogonal multiple access systems"
    - "dynamic user clustering and power allocation for uplink and downlink non orthogonal multiple access noma systems"
    - "a new noma approach for fair power allocation"
    - "joint downlink base station association and power control for max min fairness computation and complexity"
    - "fairness for non orthogonal multiple access in 5g systems"
    - "a general mimo framework for noma downlink and uplink transmission based on signal alignment"

Connected through hyperedge HE-6 (induced by source paper "differential distributed space time coding with imperfect synchronization in frequency selective channels"):
  with members:
    - "differential distributed space time coding with imperfect synchronization"
    - "asynchronous physical layer network coding"
    - "optimal decoding algorithm for asynchronous physical layer network coding"
    - "channel coded collision resolution by exploiting symbol misalignment"
    - "ofdm based distributed space time coding for asynchronous relay networks"

Connected through hyperedge HE-7 (induced by source paper "distributed channel quantization for two user interference networks"):
  with members:
    - "very low rate variable length channel quantization for minimum outage probability"

Connected through hyperedge HE-8 (induced by source paper "variable length channel quantizers for maximum diversity and array gains"):
  with members:
    - "very low rate variable length channel quantization for minimum outage probability"
    - "tree structured random vector quantization for limited feedback wireless channels"

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)