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: "short codes with mismatched channel state information a case study"
  Abstract: The rising interest in applications requiring the transmission of small amounts of data has recently lead to the development of accurate performance bounds and of powerful channel codes for the transmission of short-data packets over the AWGN channel. Much less is known about the interaction between error control coding and channel estimation at short blocks when transmitting over channels with states (e.g., fading channels, phase-noise channels, etc...) for the setup where no a priori channel state information (CSI) is available at the transmitter and the receiver. In this paper, we use the mismatched-decoding framework to characterize the fundamental tradeoff occurring in the transmission of short data packet over an AWGN channel with unknown gain that stays constant over the packet. Our analysis for this simplified setup aims at showing the potential of mismatched decoding as a tool to design and analyze transmission strategies for short blocks. We focus on a pragmatic approach where the transmission frame contains a codeword as well as a preamble that is used to estimate the channel (the codeword symbols are not used for channel estimation). Achievability and converse bounds on the block error probability achievable by this approach are provided and compared with simulation results for schemes employing short low-density parity-check codes. Our bounds turn out to predict accurately the optimal trade-off between the preamble length and the redundancy introduced by the channel code.

Connected through hyperedge HE-1 (induced by source paper "low complexity joint channel estimation and list decoding of short codes"):
  with members:
    - "efficient error correcting codes in the short blocklength regime"
    - "short packets over block memoryless fading channels pilot assisted or noncoherent transmission"
    - "list decoding of polar codes"

Connected through hyperedge HE-2 (induced by source paper "short packet structure for ultra reliable machine type communication tradeoff between detection and decoding"):
  with members:
    - "wireless access for ultra reliable low latency communication urllc principles and building blocks"
    - "low latency ultra reliable 5g communications finite blocklength bounds and coding schemes"
    - "communication under strong asynchronism"

Connected through hyperedge HE-3 (induced by source paper "short packets over block memoryless fading channels pilot assisted or noncoherent transmission"):
  with members:
    - "finite blocklength bounds on the maximum coding rate of rician fading channels with applications to pilot assisted transmission"
    - "code design for short blocks a survey"
    - "short packet communications over multiple antenna rayleigh fading channels"
    - "the third order term in the normal approximation for the awgn channel"
    - "mismatched decoding error exponents second order rates and saddlepoint approximations"
    - "on the capacity of large mimo block fading channels"
    - "on the gain of joint processing of pilot and data symbols in stationary rayleigh fading channels"
    - "error exponents and cutoff rate for noncoherent rician fading channels"

Connected through hyperedge HE-4 (induced by source paper "wireless access for ultra reliable low latency communication urllc principles and building blocks"):
  with members:
    - "revisiting frequency reuse towards supporting ultra reliable ubiquitous rate communication"
    - "on a user centric base station cooperation scheme for reliable communications"
    - "design and performance analysis of noncoherent detection systems with massive receiver arrays"
    - "downlink transmission of short packets framing and control information revisited"

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)