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: "approximate capacity region of the mac ic mac"
  Abstract: An approximate capacity region is established of a class of interfering multiple access channels consisting of two multiple-access channels (MACs), each with an arbitrary number of users, with interference from one of the transmitters of one MAC to the receiver of the other MAC, which we refer to henceforth as the MAC-IC-MAC. It is shown that, for the semi-deterministic MAC-IC-MAC, single-user coding at the non-interfering transmitters in each MAC and superposition coding at the interfering transmitter of each MAC achieves a rate region that is within a quantifiable gap of the capacity region, thereby generalizing the result by Telatar and Tse for the 2-user semi-deterministic interference channel. Next, with an explicit coding scheme, we establish an approximate capacity region that is within a one-bit gap of the capacity region for the Gaussian MAC-IC-MAC, thereby extending the work by Etkin et al for the two-user Gaussian interference channel. The symmetric generalized degrees of freedom (GDoF) of the symmetric Gaussian MAC-IC-MAC with more than one user per cell, which is a function of the interference strength (the ratio of INR to SNR at high SNR, both expressed in dB) and the numbers of users in each cell, is V-shaped with flat shoulders. An analysis based on the deterministic method shows that, when interference is sufficiently weak or strong, the non-interfering transmitters are not mere sharers of the degrees of freedom with the interfering transmitters. They instead also utilize power levels that cannot be accessed by interfering transmitters (due to the restriction of superposition coding), thereby improving the symmetric sum GDoF to up to one degree of freedom per cell under a range of SINR exponent levels. Time sharing between interfering and non-interfering transmitters is suboptimal.

Connected through hyperedge HE-1 (induced by source paper "noma an information theoretic perspective"):
  with members:
    - "rate splitting multiple access for downlink communication systems bridging generalizing and outperforming sdma and noma"
    - "power domain non orthogonal multiple access noma in 5g systems potentials and challenges"
    - "optimal beamforming for gaussian mimo wiretap channels with two transmit antennas"
    - "gsvd based precoding in mimo systems with integrated services"
    - "non orthogonal multiple access in multi cell networks theory performance and practical challenges"
    - "the application of mimo to non orthogonal multiple access"
    - "fairness for non orthogonal multiple access in 5g systems"
    - "a general mimo framework for noma downlink and uplink transmission based on signal alignment"

Connected through hyperedge HE-2 (induced by source paper "on the efficiency of widely linear precoding and symbol extension in cellular uplink"):
  with members:
    - "harvesting the self interference in heterogeneous full duplex networks for joint rate energy optimization"
    - "improper signaling and symbol extensions how far can we go with gaussian p2p codebooks in the interfering mac with tin"
    - "enabling the multi user generalized degrees of freedom in the gaussian cellular channel"
    - "transmit optimization with improper gaussian signaling for interference channels"
    - "interference alignment and neutralization in a cognitive 3 user mac interference channel degrees of freedom"

Connected through hyperedge HE-3 (induced by source paper "non orthogonal multiple access in multi cell networks theory performance and practical challenges"):
  with members:
    - "power domain non orthogonal multiple access noma in 5g systems potentials and challenges"
    - "non orthogonal multiple access noma in cellular uplink and downlink challenges and enabling techniques"
    - "the application of mimo to non orthogonal multiple access"
    - "analytical evaluation of fractional frequency reuse for ofdma cellular networks"

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)