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 "adversarial multiple access channels with individual injection rates"):
  Abstract: We study deterministic distributed broadcasting in synchronous multiple-access channels. Packets are injected into $n$ nodes by a window-type adversary that is constrained by a window $w$ and injection rates individually assigned to all nodes. We investigate what queue size and packet latency can be achieved with the maximum aggregate injection rate of one packet per round, depending on properties of channels and algorithms. We give a non-adaptive algorithm for channels with collision detection and an adaptive algorithm for channels without collision detection that achieve $O(\min(n+w,w\log n))$ packet latency. We show that packet latency has to be either $\Omega(w \max (1,\log_w n))$, when $w\le n$, or $\Omega(w+n)$, when $w>n$, as a matching lower bound to these algorithms. We develop a non-adaptive algorithm for channels without collision detection that achieves $O(n+w)$ queue size and $O(nw)$ packet latency. This is in contrast with the adversarial model of global injection rates, in which non-adaptive algorithms with bounded packet latency do not exist [18]. Our algorithm avoids collisions produced by simultaneous transmissions; we show that any algorithm with this property must have $\Omega(nw)$ packet latency.

Includes members:
  Member "randomized communication in radio networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "packet oblivious stable routing in multi hop wireless networks")
  Member "broadcasting in ad hoc multiple access channels":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "energy efficient adversarial routing in shared channels")
  Member "dynamic sharing of a multiple access channel":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "scalable wake up of multi channel single hop radio networks")
  Member "maximum throughput of multiple access channels in adversarial environments":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "energy efficient adversarial routing in shared channels")

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.DC(Distributed, Parallel, and Cluster Computing)