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 "efficient operation of coded packet networks"):
  Abstract: A fundamental problem faced in the design of almost all packet networks is that of efficient operation---of reliably communicating given messages among nodes at minimum cost in resource usage. We present a solution to the efficient operation problem for coded packet networks, i.e., packet networks where the contents of outgoing packets are arbitrary, causal functions of the contents of received packets. Such networks are in contrast to conventional, routed packet networks, where outgoing packets are restricted to being copies of received packets and where reliability is provided by the use of retransmissions. #R##N#This thesis introduces four considerations to coded packet networks: (1) efficiency, (2) the lack of synchronization in packet networks, (3) the possibility of broadcast links, and (4) packet loss. We take these considerations and give a prescription for operation that is novel and general, yet simple, useful, and extensible. #R##N#We separate the efficient operation problem into two smaller problems, which we call network coding---the problem of deciding what coding operation each node should perform given the rates at which packets are injected on each link---and subgraph selection---the problem of deciding those rates. Our main contribution for the network coding problem is to give a scheme that achieves the maximum rate of a multicast connection tinder the given injection rates. As a consequence, the separation of network coding and subgraph selection results in no loss of optimality provided that we are constrained to only coding packets within a single connection. Our main contribution for the subgraph selection problem is to give distributed algorithms that optimally solve the single-connection problem under certain assumptions. Since the scheme we propose for network coding can easily be implemented in a distributed manner, we obtain, by combining the solutions for each of the smaller problems, a distributed approach to the efficient operation problem. #R##N#We assess the performance of our solution for three problems: minimum-transmission wireless unicast minimum-weight wireline multicast, and minimum-energy wireless multicast. We find that our solution has the potential to offer significant efficiency improvements over existing techniques in routed packet networks, particularly for multi-hop wireless networks. (Copies available exclusively from MIT Libraries, Rm. 14-0551, Cambridge, MA 02139-4307. Ph. 617-253-5668; Fax 617-253-1690.)

Includes members:
  Member "minimum cost multicast over coded packet networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "asynchronous coded caching")
  Member "coding schemes for line networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "random linear network coding for 5g mobile video delivery")
  Member "further results on coding for reliable communication over packet networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "reliability of relay networks under random linear network coding")
  Member "on coding for reliable communication over packet networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "adaptive causal network coding with feedback")
  Member "minimal network coding for multicast":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "genetic algorithm based resource minimization in network code based peer to peer network")

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)