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 "a new approach for throughput enhancement of mimo interference networks under imperfect channel state information"):
  Abstract: This paper proposes a new algorithm to improve the throughput of the MIMO interference channel, under imperfect channel state information (CSI). Each transmitter and receiver has respectively M and N antennas and network operates in a time division duplex mode. With the knowledge of channel estimation error variance, mean of signal-to-interference-plus-noise ratio (SINR) is approximated. Each transceiver adjusts its filter to maximize the expected value of SINR. Formulation of maximization problem is convex. The proposed New Approach for Throughput Enhancement under imperfect CSI utilizes the reciprocity of wireless networks to maximize the estimated mean. The sum rate performance of the proposed algorithm is verified using Monte Carlo simulations.

Includes members:
  Member "interference alignment for the k user interference channel with imperfect csi":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "maximizing first order approximate mean of sinr under imperfect channel state information for throughput enhancement of mimo interference networks")
  Member "group based interference alignment":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "maximizing first order approximate mean of sinr under imperfect channel state information for throughput enhancement of mimo interference networks")
  Member "on the beamforming design for efficient interference alignment":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "maximizing first order approximate mean of sinr under imperfect channel state information for throughput enhancement of mimo interference networks")

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)