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 "communicating correlated sources over mac and interference channels i separation based schemes"):
  Abstract: We consider the two scenarios of communicating a pair $S_{1},S_{2}$ of correlated sources over multiple access (MAC) and interference channels (IC) respectively. We undertake a Shannon theoretic study and focus on achievability, i.e., characterizing sufficient conditions. In the absence of a Ga\'cs-K\"orner-Witsenhausen common part, the current known single-letter (S-L) coding schemes are constrained to the S-L long Markov Chain (LMC) $X_{1}-S_{1}-S_{2}-X_{2}$. Taking the lead of Dueck's example [Dueck, Mar 1981], we recognize that the latter constraint is debilitating, leading to sub-optimality of S-L coding schemes. The goal of our work is to design a coding scheme wherein (i) the choice of channel input at time $t$ is based on multiple source symbols, and is yet ii) amenable to performance characterization via S-L expressions. In this article, we present the first part of our findings. We propose a new separation-based coding scheme based on a fixed block-length (B-L) codes that enables choice of $X_{jt}$ - the symbol input on the channel by encoder $j$ at time $t$ - to be based on a generic number $l$ of source symbols $S_{j}^{l}$, thus permitting correlation of the input symbols $X_{1},X_{2}$ through a multi-letter LMC $X_{1}-S_{1}^{l}-S_{2}^{l}-X_{2}$. By carefully stitching together S-L coding techniques we devise a multi-letter coding scheme. We characterize an inner bound to its performance via a S-L expression and prove that the derived inner bound is strictly larger than the current known largest inner bounds for both the MAC and IC problems based on S-L coding schemes. In the second part of our work, we propose to enlarge the inner bound derived in this article by incorporating the technique of inducing source correlation onto channel inputs [Cover, El Gamal and Salehi, Nov 1980].

Includes members:
  Member "communicating correlated sources over an interference channel":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a new achievable rate distortion region for distributed source coding")
  Member "broadcasting correlated vector gaussians":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "vector gaussian successive refinement with degraded side information")
  Member "matched multiuser gaussian source channel communications via uncoded schemes":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "optimal communication strategies in networked cyber physical systems with adversarial elements")
  Member "on joint source channel coding for correlated sources over multiple access relay channels":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "communicating correlated sources over an interference channel")
  Member "an achievable rate distortion region for the multiple descriptions problem":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "trade off between communication and cooperation in the interference channel")
  Member "a new data processing inequality and its applications in distributed source and channel coding":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "estimation efficiency under privacy constraints")
  Member "optimality and approximate optimality of source channel separation in networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a new approach to lossy network compression of a tuple of correlated multivariate gaussian rvs")
  Member "interference channels with arbitrarily correlated sources":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "robust gaussian joint source channel coding with a staircase distortion noise profile")

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)