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 "delay rate tradeoff in ergodic interference alignment"):
  Abstract: Ergodic interference alignment, as introduced by Nazer et al (NGJV), is a technique that allows high-rate communication in n-user interference networks with fast fading. It works by splitting communication across a pair of fading matrices. However, it comes with the overhead of a long time delay until matchable matrices occur: the delay is qn2 for field size q. In this paper, we outline two new families of schemes, called JAP and JAP-B, that reduce the expected delay, sometimes at the cost of a reduction in rate from the NGJV scheme. In particular, we give examples of good schemes for networks with few users, and show that in large n-user networks, the delay scales like qT, where T is quadratic in n for a constant per-user rate and T is constant for a constant sum-rate. We also show that half the single-user rate can be achieved while reducing NGJV's delay from qn2 to q(n-1)(n-2).

Includes members:
  Member "the ergodic capacity of phase fading interference networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on cooperation and interference in the weak interference regime full version with detailed proofs")
  Member "interference alignment based sum capacity bounds for random dense gaussian interference networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "interference mitigation in large random wireless networks")
  Member "delay rate tradeoff for ergodic interference alignment in the gaussian case":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "channel aided interference alignment")
  Member "asymptotic sum capacity of random gaussian interference networks using interference alignment":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "interference mitigation in large random wireless networks")
  Member "the feasibility of interference alignment over measured mimo ofdm channels":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "mimo interference alignment over correlated channels with imperfect csi")
  Member "ergodic interference alignment":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the interference channel revisited aligning interference by adjusting receive antenna separation")
  Member "interference alignment for line of sight channels":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "cyclic interference alignment and cancellation in 3 user x networks with minimal backhaul")
  Member "hierarchical cooperation achieves optimal capacity scaling in ad hoc networks":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "wireless mesh networking with devices equipped with multi connectivity")

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)