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: "coded random access how coding theory helps to build random access protocols"
  Abstract: The rise of machine-to-machine communications has rekindled the interest in random access protocols and their use to support a massive number of uncoordinatedly transmitting devices. The classic ALOHA approach is developed under a collision model, where slots that contain collided packets are considered as waste. However, if the common receiver (e.g., base station) is capable to store the collision slots and use them in a transmission recovery process based on successive interference cancellation, the design space for access protocols is radically expanded. We present the paradigm of coded random access, in which the structure of the access protocol can be mapped to a structure of an erasure-correcting code defined on graph. This opens the possibility to use coding theory and tools for designing efficient random access protocols, offering markedly better performance than ALOHA. Several instances of coded random access protocols are described, as well as a case study on how to upgrade a legacy ALOHA wireless system using the ideas of coded random access.

Connected through hyperedge HE-1 (induced by source paper "wireless access in ultra reliable low latency communication urllc"):
  with members:
    - "how reliable and capable is multi connectivity"
    - "wireless channel dynamics and robustness for ultra reliable low latency communications"
    - "improving network availability of ultra reliable and low latency communications with multi connectivity"
    - "packet duplication in dual connectivity enabled 5g wireless networks overview and challenges"
    - "massive mimo for ultra reliable communications with constellations for dual coherent noncoherent detection"
    - "ultra reliable and low latency wireless communication tail risk and scale"
    - "energy latency tradeoff in ultra reliable low latency communication with retransmissions"
    - "ultra reliable and low latency communications in 5g downlink physical layer aspects"

Connected through hyperedge HE-2 (induced by source paper "sparse signal processing for grant free massive connectivity a future paradigm for random access protocols in the internet of things"):
  with members:
    - "sparse activity detection for massive connectivity"
    - "massive connectivity with massive mimo part ii achievable rate characterization"
    - "massive connectivity with massive mimo part i device activity detection and channel estimation"
    - "a random access protocol for pilot allocation in crowded massive mimo systems"
    - "compressive coded random access for massive mtc traffic in 5g systems"
    - "device activity and embedded information bit detection using amp in massive mimo"
    - "random access in c ran for user activity detection with limited capacity fronthaul"
    - "capacity of gaussian many access channels"

Connected through hyperedge HE-3 (induced by source paper "a random access protocol for pilot allocation in crowded massive mimo systems"):
  with members:
    - "random access in uplink massive mimo systems how to exploit asynchronicity and excess antennas"
    - "massive mimo ten myths and one critical question"
    - "random access for massive mimo systems with intra cell pilot contamination"
    - "random access protocol for massive mimo strongest user collision resolution sucr"
    - "massive mimo for crowd scenarios a solution based on random access"
    - "three practical aspects of massive mimo intermittent user activity pilot synchronism and asymmetric deployment"
    - "coded random access applying codes on graphs to design random access protocols"
    - "massive mimo systems with non ideal hardware energy efficiency estimation and capacity limits"

Connected through hyperedge HE-4 (induced by source paper "compressive coded random access for massive mtc traffic in 5g systems"):
  with members:
    - "compressive random access using a common overloaded control channel"
    - "sparse signal processing concepts for efficient 5g system design"
    - "coded random access applying codes on graphs to design random access protocols"
    - "exploiting capture effect in frameless aloha for massive wireless random access"
    - "characterization of coded random access with compressive sensing based multi user detection"

Connected through hyperedge HE-5 (induced by source paper "finite length analysis of frameless aloha"):
  with members:
    - "inactivation decoding analysis for lt codes"
    - "coded slotted aloha a graph based method for uncoordinated multiple access"
    - "aloha random access that operates as a rateless code"
    - "frameless aloha protocol for wireless networks"

Connected through hyperedge HE-6 (induced by source paper "user activity detection in massive random access compressed sensing vs coded slotted aloha"):
  with members:
    - "massive machine type communications in 5g physical and mac layer solutions"
    - "coded random access applying codes on graphs to design random access protocols"
    - "message passing algorithms for compressed sensing"
    - "on off random access channels a compressed sensing framework"

Connected through hyperedge HE-7 (induced by source paper "asymptotic performance of coded slotted aloha with multi packet reception"):
  with members:
    - "coded slotted aloha a graph based method for uncoordinated multiple access"
    - "sign compute resolve for random access"
    - "spatially coupled random access on graphs"

Connected through hyperedge HE-8 (induced by source paper "irregular repetition slotted aloha over the rayleigh block fading channel with capture"):
  with members:
    - "coded random access applying codes on graphs to design random access protocols"
    - "exploiting capture effect in frameless aloha for massive wireless random access"
    - "frameless aloha protocol for wireless networks"

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.NI(Networking and Internet Architecture)