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: "capacity of 1 to k broadcast packet erasure channels with channel output feedback"
  Abstract: This paper focuses on the 1-to-K broadcast packet erasure channel (PEC), which is a generalization of the broadcast binary erasure channel from the binary symbol to that of arbitrary finite fields GF(q) with sufficiently large q. We consider the setting in which the source node has instant feedback of the channel outputs of the K receivers after each transmission. Such a setting directly models network coded packet transmission in the downlink direction with integrated feedback mechanisms (such as Automatic Repeat reQuest (ARQ)). The main results of this paper are: (i) The capacity region for general 1-to-3 broadcast PECs, and (ii) The capacity region for two classes of 1-to-K broadcast PECs: the symmetric PECs, and the spatially independent PECs with one-sided fairness constraints. This paper also develops (iii) A pair of outer and inner bounds of the capacity region for arbitrary 1-to-K broadcast PECs, which can be evaluated by any linear programming solver. For most practical scenarios, the outer and inner bounds meet and thus jointly characterize the capacity.

Connected through hyperedge HE-1 (induced by source paper "benefits of coding on age of information in broadcast networks"):
  with members:
    - "sampling for remote estimation through queues age of information and beyond"
    - "optimal age over erasure channels"
    - "scheduling policies for minimizing age of information in broadcast wireless networks"
    - "the age of information in networks moments distributions and sampling"
    - "online timely status updates with erasures for energy harvesting sensors"
    - "distributed scheduling algorithms for optimizing information freshness in wireless networks"
    - "age minimal online policies for energy harvesting sensors with random battery recharges"
    - "delay and peak age violation probability in short packet transmissions"

Connected through hyperedge HE-2 (induced by source paper "noisy broadcast networks with receiver caching"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "on the optimality of separation between caching and delivery in general cache networks"
    - "opportunistic content delivery in fading broadcast channels"
    - "cache aided content delivery over erasure broadcast channels"
    - "scalable content delivery with coded caching in multi antenna fading channels"
    - "on coded caching in the overloaded miso broadcast channel"
    - "multi antenna coded caching"
    - "information theoretic caching the multi user case"

Connected through hyperedge HE-3 (induced by source paper "stable xor based policies for the broadcast erasure channel with feedback"):
  with members:
    - "multiuser broadcast erasure channel with feedback capacity and algorithms"
    - "on coding for reliable communication over packet networks"

Connected through hyperedge HE-4 (induced by source paper "a graph model for opportunistic network coding"):
  with members:
    - "multiuser broadcast erasure channel with feedback capacity and algorithms"
    - "optimal solution for the index coding problem using network coding over gf 2"

Connected through hyperedge HE-5 (induced by source paper "completion delay minimization for instantly decodable network codes"):
  with members:
    - "on the complexity of solving markov decision problems"
    - "multiuser broadcast erasure channel with feedback capacity and algorithms"
    - "coding opportunity densification strategies for instantly decodable network coding"
    - "broadcasting in time division duplexing a random linear network coding approach"
    - "effective delay control in online network coding"
    - "feedback based online network coding"
    - "informed network coding for minimum decoding delay"
    - "arq for network coding"

Connected through hyperedge HE-6 (induced by source paper "coding opportunity densification strategies for instantly decodable network coding"):
  with members:
    - "index coding via linear programming"
    - "informed network coding for minimum decoding delay"
    - "online network coding for optimal throughput and delay the three receiver case"
    - "opportunistic network coding for video streaming over wireless"

Connected through hyperedge HE-7 (induced by source paper "capacity of multiple unicast in wireless networks a polymatroidal approach"):
  with members:
    - "real interference alignment exploiting the potential of single antenna systems"
    - "multiuser broadcast erasure channel with feedback capacity and algorithms"
    - "degrees of freedom of interference channels with comp transmission and reception"
    - "multicommodity flows and cuts in polymatroidal networks"
    - "wireless network information flow a deterministic approach"
    - "computation alignment capacity approximation without noise accumulation"
    - "the degrees of freedom of the 2 hop 2 user interference channel with feedback"
    - "a digital interface for gaussian relay and interference networks lifting codes from the discrete superposition model"

Connected through hyperedge HE-8 (induced by source paper "completely stale transmitter channel state information is still very useful"):
  with members:
    - "multiuser broadcast erasure channel with feedback capacity and algorithms"
    - "interference alignment for the mimo interference channel with delayed local csit"
    - "the degrees of freedom regions of mimo broadcast interference and cognitive radio channels with no csit"
    - "multiuser mimo achievable rates with downlink training and channel state feedback"
    - "mimo broadcast channels with finite rate feedback"

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)