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 "interference alignment improves the capacity of ofdm systems"):
  Abstract: Multiuser orthogonal frequency-division multiplexing (OFDM) and multiple-output multiple-output (MIMO) have been widely adopted to enhance the system throughput and combat the detrimental effects of wireless channels. Interference alignment has been proposed to exploit interference to enable concurrent transmissions of multiple signals. In this paper, the authors investigate how to combine these techniques to further enhance the system throughput. The authors first reveal the unique characteristics and challenges brought about by using interference alignment in diagonal channels. The authors then derive a performance bound for the multiuser (MIMO) OFDM interference alignment system under practical constraints and show how to achieve this bound with a decomposition approach. The superior performance of the proposed scheme is validated with simulations.

Includes members:
  Member "limited feedback based interference alignment for interfering multi access channels":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "iterative distributed minimum total mse approach for secure communications in mimo interference channels")
  Member "a distributed approach to interference alignment in ofdm based two tiered networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "suppressing alignment joint papr and out of band power leakage reduction for ofdm based systems")
  Member "exploiting spatial interference alignment and opportunistic scheduling in the downlink of interference limited systems":
    also connected through other hyperedges:
      (none)
  Member "interference alignment with incomplete csit sharing":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "generalized degrees of freedom of the 2 user case miso broadcast channel with distributed csit")
  Member "on feasibility of interference alignment in mimo interference networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "joint optimization of signal design and resource allocation in wireless d2d edge computing")
  Member "on feasibility of interference alignment in mimo interference networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "joint optimization of signal design and resource allocation in wireless d2d edge computing")

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)