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: "blind known interference cancellation"
  Abstract: This paper investigates interference-cancellation schemes at the receiver, in which the original data of the interference is known a priori. Such a priori knowledge is common in wireless relay networks. For example, a transmitting relay could be relaying data that was previously transmitted by a node, in which case the interference received by the node now is actually self information. Besides the case of self information, the node could also have overheard or received the interference data in a prior transmission by another node. Directly removing the known interference requires accurate estimate of the interference channel, which may be difficult in many situations. In this paper, we propose a novel scheme, Blind Known Interference Cancellation (BKIC), to cancel known interference without interference channel information. BKIC consists of two steps. The first step combines adjacent symbols to cancel the interference, exploiting the fact that the channel coefficients are almost the same between successive symbols. After such interference cancellation, however, the signal of interest is also distorted. The second step recovers the signal of interest amidst the distortion. We propose two algorithms for the critical second steps. The first algorithm (BKIC-S) is based on the principle of smoothing. It is simple and has near optimal performance in the slow fading scenario. The second algorithm (BKIC-RBP) is based on the principle of real-valued belief propagation. It can achieve MAP-optimal performance with fast convergence, and has near optimal performance even in the fast fading scenario. Both BKIC schemes outperform the traditional self-interference cancellation schemes with perfect initial channel information by a large margin, while having lower complexities.

Connected through hyperedge HE-1 (induced by source paper "optimal spectrum sharing with arq based legacy users via chain decoding"):
  with members:
    - "deep neural network architectures for modulation classification"
    - "on stable throughput of cognitive radio networks with cooperating secondary users"
    - "cross layer estimation and control for cognitive radio exploiting sparse network dynamics"
    - "cognitive access policies under a primary arq process via forward backward interference cancellation"
    - "cognitive interference management in retransmission based wireless networks"
    - "on active learning and supervised transmission of spectrum sharing based cognitive radios by exploiting hidden primary radio feedback"
    - "cognitive radio an information theoretic perspective"

Connected through hyperedge HE-2 (induced by source paper "approaching single hop performance in multihop networks end to end known interference cancelation e2e kic"):
  with members:
    - "coding based data broadcasting for time critical applications with rate adaptation"
    - "distributed mac protocol supporting physical layer network coding"
    - "coordinating interfering transmissions in cooperative wireless lans"
    - "pushing the limits of full duplex design and real time implementation"

Connected through hyperedge HE-3 (induced by source paper "contract based interference coordination in heterogeneous cloud radio access networks"):
  with members:
    - "system architecture and key technologies for 5g heterogeneous cloud radio access networks"
    - "training design and channel estimation in uplink cloud radio access networks"
    - "joint power and antenna selection optimization in large cloud radio access networks"
    - "heterogeneous cloud radio access networks a new perspective for enhancing spectral and energy efficiencies"
    - "ergodic capacity analysis of remote radio head associations in cloud radio access networks"
    - "scalable synchronization and reciprocity calibration for distributed multiuser mimo"
    - "relay selection for ofdm wireless systems under asymmetric information a contract theory based approach"
    - "downlink coordinated multi point with overhead modeling in heterogeneous cellular networks"

Connected through hyperedge HE-4 (induced by source paper "superimposed signaling inspired channel estimation in full duplex systems"):
  with members:
    - "a linearization technique for self interference cancellation in full duplex radios"
    - "all digital self interference cancellation technique for full duplex systems"
    - "passive self interference suppression for full duplex infrastructure nodes"
    - "full duplex mobile device pushing the limits"
    - "widely linear digital self interference cancellation in direct conversion full duplex transceiver"
    - "full duplex transceiver system calculations analysis of adc and linearity challenges"
    - "rate gain region and design tradeoffs for full duplex wireless communications"
    - "in band full duplex wireless challenges and opportunities"

Connected through hyperedge HE-5 (induced by source paper "capacity of known interference channel"):
  with members:
    - "a message passing approach for joint channel estimation interference mitigation and decoding"
    - "physical layer network coding"

Connected through hyperedge HE-6 (induced by source paper "physical layer network coding tutorial survey and beyond"):
  with members:
    - "an algebraic approach to physical layer network coding"
    - "eigen direction alignment based physical layer network coding for mimo two way relay channels"
    - "asynchronous physical layer network coding"
    - "optimal decoding algorithm for asynchronous physical layer network coding"
    - "non memoryless analog network coding in two way relay channel"
    - "reliable physical layer network coding"
    - "wireless mimo switching with zero forcing relaying and network coded relaying"
    - "implementation of physical layer network coding"

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)