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: "analysis and optimization of sparse random linear network coding for reliable multicast services"
  Abstract: Point-to-multipoint communications are expected to play a pivotal role in next-generation networks. This paper refers to a cellular system transmitting layered multicast services to a multicast group of users. Reliability of communications is ensured via different random linear network coding (RLNC) techniques. We deal with a fundamental problem: the computational complexity of the RLNC decoder. The higher the number of decoding operations is, the more the user’s computational overhead grows and, consequently, the faster the battery of mobile devices drains. By referring to several sparse RLNC techniques, and without any assumption on the implementation of the RLNC decoder in use, we provide an efficient way to characterize the performance of users targeted by ultra-reliable layered multicast services. The proposed modeling allows to efficiently derive the average number of coded packet transmissions needed to recover one or more service layers. We design a convex resource allocation framework that allows to minimize the complexity of the RLNC decoder by jointly optimizing the transmission parameters and the sparsity of the code. The designed optimization framework also ensures service guarantees to predetermined fractions of users. The performance of the proposed optimization framework is then investigated in a LTE-A eMBMS network multicasting H.264/SVC video services.

Connected through hyperedge HE-1 (induced by source paper "on the probability of partial decoding in sparse network coding"):
  with members:
    - "reliability of broadcast communications under sparse random linear network coding"
    - "probability of partially decoding network coded messages"
    - "binary systematic network coding for progressive packet decoding"
    - "feedback based online network coding"
    - "intermediate performance of rateless codes"

Connected through hyperedge HE-2 (induced by source paper "agile data offloading over novel fog computing infrastructure for cavs"):
  with members:
    - "a city scale its g5 network for next generation intelligent transportation systems design insights and challenges"
    - "agile calibration process of full stack simulation frameworks for v2x communications"
    - "modeling and design of millimeter wave networks for highway vehicular communication"
    - "reliable and efficient autonomous driving the need for heterogeneous vehicular networks"
    - "network coding meets multimedia a review"

Connected through hyperedge HE-3 (induced by source paper "random linear network coding for 5g mobile video delivery"):
  with members:
    - "reliability of broadcast communications under sparse random linear network coding"
    - "reliable video streaming over mmwave with multi connectivity and network coding"
    - "decoding delay performance of random linear network coding for broadcast"
    - "optimized interface diversity for ultra reliable low latency communication urllc"
    - "collaborative mobile edge computing in 5g networks new paradigms scenarios and challenges"
    - "resource allocation frameworks for network coded layered multimedia multicast services"
    - "optimized network coded scalable video multicasting over embms networks"
    - "random linear network coding for wireless layered video broadcast general design methods for adaptive feedback free transmission"

Connected through hyperedge HE-4 (induced by source paper "high throughput low delay wireless multicast via multi channel moving window codes"):
  with members:
    - "throughput optimal broadcast in wireless networks with dynamic topology"
    - "constant delay and constant feedback moving window network coding for wireless multicast design and asymptotic analysis"
    - "throughput of rateless codes over broadcast erasure channels"
    - "dynamic rate adaptation for improved throughput and delay in wireless network coded broadcast"
    - "feedback based online network coding"
    - "arq for network coding"

Connected through hyperedge HE-5 (induced by source paper "reliability of broadcast communications under sparse random linear network coding"):
  with members:
    - "reliability of multicast under random linear network coding"
    - "improved bounds on the decoding failure probability of network coding over multi source multi relay networks"
    - "resource allocation frameworks for network coded layered multimedia multicast services"
    - "network coding meets multimedia a review"

Connected through hyperedge HE-6 (induced by source paper "on intercept probability minimization under sparse random linear network coding"):
  with members:
    - "reliability of broadcast communications under sparse random linear network coding"
    - "reliability of multicast under random linear network coding"
    - "rethinking the intercept probability of random linear network coding"

Connected through hyperedge HE-7 (induced by source paper "modeling and design of millimeter wave networks for highway vehicular communication"):
  with members:
    - "millimeter wave vehicular communication to support massive automotive sensing"
    - "wireless vehicular networks in emergencies a single frequency network approach"
    - "stochastic geometry modeling and analysis of multi tier millimeter wave cellular networks"
    - "millimeter wave distance dependent large scale propagation measurements and path loss models for outdoor and indoor 5g systems"
    - "millimeter wave cellular networks a mac layer perspective"
    - "tractable model for rate in self backhauled millimeter wave cellular networks"
    - "coverage and rate analysis for millimeter wave cellular networks"
    - "what will 5g be"

Connected through hyperedge HE-8 (induced by source paper "a markov chain model for the decoding probability of sparse network coding"):
  with members:
    - "fulcrum network codes a code for fluid allocation of complexity"
    - "batched sparse codes"
    - "effects of mac approaches on non monotonic saturation with cope a simple case study"
    - "network coding meets tcp"

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)