human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "the multiplexing gain of mimo x channels with partial transmit side information"
  Abstract: In this paper, we obtain the scaling laws of the sum-rate capacity of a MIMO X-channel, a 2 independent sender, 2 independent receiver channel with messages from each transmitter to each receiver, at high signal to noise ratios (SNR). The X-channel has sparked recent interest in the context of cooperative networks and it encompasses the interference, multiple access, and broadcast channels as special cases. Here, we consider the case with partially cooperative transmitters in which only partial and asymmetric side-information is available at one of the transmitters. It is proved that when there are M antennas at all four nodes, the sum-rate scales like 2Mlog(SNR) which is in sharp contrast to [\lfloor 4M/3 \rfloor,4M/3]log(SNR) for non-cooperative X-channels \cite{maddah-ali,jafar_degrees}. This further proves that, in terms of sum-rate scaling at high SNR, partial side-information at one of the transmitters and full side-information at both transmitters are equivalent in the MIMO X-channel.

Connected through hyperedge HE-1 (induced by source paper "degrees of freedom of interference channels with comp transmission and reception"):
  with members:
    - "real interference alignment exploiting the potential of single antenna systems"
    - "on optimal message assignments for interference channels with comp transmission"
    - "on the degrees of freedom achievable through interference alignment in a mimo interference channel"
    - "settling the feasibility of interference alignment for the mimo interference channel the symmetric square case"
    - "interference cooperation and connectivity a degrees of freedom perspective"
    - "interference channels with source cooperation"
    - "interference channels with destination cooperation"
    - "achievable degrees of freedom of the k user interference channel with partial cooperation"

Connected through hyperedge HE-2 (induced by source paper "interference channels with coordinated multi point transmission degrees of freedom message assignment and fractional reuse"):
  with members:
    - "degrees of freedom dof of locally connected interference channels with coordinated multi point comp transmission"
    - "degrees of freedom of interference channels with comp transmission and reception"
    - "interference channels with source cooperation"
    - "interference mitigation through limited transmitter cooperation"
    - "cooperative interference management with miso beamforming"
    - "approaching the capacity of wireless networks through distributed interference alignment"
    - "on cognitive interference networks"
    - "cognitive radio an information theoretic perspective"

Connected through hyperedge HE-3 (induced by source paper "feedback can double the prelog of some memoryless gaussian networks"):
  with members:
    - "lqg control approach to gaussian broadcast channels with feedback"
    - "interference channels with rate limited feedback"
    - "feedback capacity of the gaussian interference channel to within 2 bits"
    - "on the capacity of the discrete memoryless broadcast channel with feedback"
    - "on the gaussian mac with imperfect feedback"
    - "the pre log of gaussian broadcast with feedback can be two"
    - "on cognitive interference networks"

Connected through hyperedge HE-4 (induced by source paper "capacity of wireless networks within o log snr the impact of relays feedback cooperation and full duplex operation"):
  with members:
    - "on cognitive interference networks"
    - "a deterministic approach to wireless relay networks"
    - "interference alignment on the deterministic channel and application to fully connected awgn interference networks"
    - "gaussian interference channel capacity to within one bit"
    - "degrees of freedom of wireless x networks"
    - "degrees of freedom region for the mimo x channel"
    - "cognitive radio an information theoretic perspective"

Connected through hyperedge HE-5 (induced by source paper "degrees of freedom of the mimo interference channel with cooperation and cognition"):
  with members:
    - "capacity of wireless networks within o log snr the impact of relays feedback cooperation and full duplex operation"
    - "on the capacity of a class of mimo cognitive radios"
    - "on cognitive interference networks"
    - "degrees of freedom region for the mimo x channel"
    - "cognitive radio an information theoretic perspective"

Connected through hyperedge HE-6 (induced by source paper "the pre log of gaussian broadcast with feedback can be two"):
  with members:
    - "on cognitive interference networks"

Connected through hyperedge HE-7 (induced by source paper "degrees of freedom of wireless x networks"):
  with members:
    - "approximate capacity of gaussian relay networks"
    - "a deterministic approach to wireless relay networks"
    - "interference alignment on the deterministic channel and application to fully connected awgn interference networks"
    - "gaussian interference channel capacity to within one bit"
    - "mimo broadcast channels with finite rate feedback"
    - "hierarchical cooperation achieves optimal capacity scaling in ad hoc networks"
    - "degrees of freedom region for the mimo x channel"

Connected through hyperedge HE-8 (induced by source paper "interference alignment and the degrees of freedom for the k user interference channel"):
  with members:
    - "a deterministic approach to wireless relay networks"
    - "gaussian interference channel capacity to within one bit"
    - "hierarchical cooperation achieves optimal capacity scaling in ad hoc networks"
    - "cognitive radio an information theoretic perspective"

Question: Please tell me which class the center node 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)