human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "mmse of bad codes"):
  Abstract: We examine codes, over the additive Gaussian noise channel, designed for reliable communication at some specific signal-to-noise ratio (SNR) and constrained by the permitted minimum mean-square error (MMSE) at lower SNRs. The maximum possible rate is below point-to-point capacity, and hence these are non-optimal codes (alternatively referred to as "bad" codes). We show that the maximum possible rate is the one attained by superposition codebooks. Moreover, the MMSE and mutual information behavior as a function of SNR, for any code attaining the maximum rate under the MMSE constraint, is known for all SNR. We also provide a lower bound on the MMSE for finite length codes, as a function of the error probability of the code.

Includes members:
  Member "soft decoding based strategies for relay and interference channels analysis and achievable rates using ldpc codes":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a new coding paradigm for the primitive relay channel")
  Member "communication with disturbance constraints":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "an achievable rate region for three pair interference channels with noise")
  Member "interference networks with point to point codes":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "increasing the throughput of an unlicensed wireless network through retransmissions")
  Member "sub optimality of treating interference as noise in the cellular uplink":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a stochastic beamformed amplify and forward scheme in a multigroup multicast mimo relay network with per antenna power constraints")
  Member "k user interference channels general outer bound and sum capacity for certain gaussian channels":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "channel conditions for the optimality of interference decoding schemes for k user gaussian interference channels")
  Member "statistical physics of signal estimation in gaussian noise theory and examples of phase transitions":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "understanding phase transitions via mutual information and mmse")
  Member "estimation in gaussian noise properties of the minimum mean square error":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "compressed coding amp based decoding and analog spatial coupling")
  Member "on mmse properties and i mmse implications in parallel mimo gaussian channels":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "a survey on mimo transmission with discrete input signals technical challenges advances and future trends")

Question: Please tell me which class the source paper 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)