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 "rate region boundary of the siso z interference channel with improper signaling"):
  Abstract: This paper provides a complete characterization of the boundary of an achievable rate region, called the Pareto boundary, of the single-antenna Z interference channel (Z-IC), when interference is treated as noise and users transmit complex Gaussian signals that are allowed to be improper. By considering the augmented complex formulation, we derive a necessary and sufficient condition for improper signaling to be optimal. This condition is stated as a threshold on the interference channel coefficient, which is a function of the interfered user rate and which allows insightful interpretations into the behavior of the achievable rates in terms of the circularity coefficient (i.e., degree of impropriety). Furthermore, the optimal circularity coefficient is provided in closed form. The simplicity of the obtained characterization permits interesting insights into when and how improper signaling outperforms proper signaling in the single-antenna Z-IC. We also provide an in-depth discussion on the optimal strategies and the properties of the Pareto boundary.

Includes members:
  Member "benefits of improper signaling for underlay cognitive radio":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "multiple importance sampling for efficient symbol error rate estimation")
  Member "improper signaling for symbol error rate minimization in k user interference channel":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "full duplex relaying with improper gaussian signaling over nakagami m fading channels")
  Member "joint transmitter and receiver optimization for improper complex second order stationary data sequence":
    also connected through other hyperedges:
      (none)
  Member "optimized transmission with improper gaussian signaling in the k user miso interference channel":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "two user simo interference channel with tin improper signaling versus time sharing")
  Member "transmit optimization with improper gaussian signaling for interference channels":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "two user simo interference channel with tin improper signaling versus time sharing")
  Member "complex valued random vectors and channels entropy divergence and capacity":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "optimum co design for spectrum sharing between matrix completion based mimo radars and a mimo communication system")
  Member "interference alignment with asymmetric complex signaling settling the host madsen nosratinia conjecture":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "two user simo interference channel with tin improper signaling versus time sharing")

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)