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: "user partitioning for less overhead in mimo interference channels"
  Abstract: This paper presents a study on multiple-antenna interference channels, accounting for general overhead as a function of the number of users and antennas in the network. The model includes both perfect and imperfect channel state information based on channel estimation in the presence of noise. Three low complexity methods are proposed for reducing the impact of overhead in the sum network throughput by partitioning users into orthogonal groups. The first method allocates spectrum to the groups equally, creating an imbalance in the sum rate of each group. The second proposed method allocates spectrum unequally among the groups to provide rate fairness. Finally, geographic grouping is proposed for cases where some receivers do not observe significant interference from other transmitters. For each partitioning method, the optimal solution not only requires a brute force search over all possible partitions, but also requires full channel state information, thereby defeating the purpose of partitioning. We therefore propose greedy methods to solve the problems, requiring no instantaneous channel knowledge. Simulations show that the proposed greedy methods switch from time-division to interference alignment as the coherence time of the channel increases, and have a small loss relative to optimal partitioning only at moderate coherence times.

Connected through hyperedge HE-1 (induced by source paper "distributed long term base station clustering in cellular networks using coalition formation"):
  with members:
    - "adaptive pilot clustering in heterogeneous massive mimo networks"
    - "globally optimal base station clustering in interference alignment based multicell networks"
    - "cooperative base station coloring for pair wise multi cell coordination"
    - "overhead aware distributed csi selection in the mimo interference channel"
    - "interference alignment aided base station clustering using coalition formation"
    - "what will 5g be"
    - "on the feasibility of linear interference alignment for mimo interference broadcast channels with constant coefficients"
    - "coalitional games in partition form for joint spectrum sensing and access in cognitive radio networks"

Connected through hyperedge HE-2 (induced by source paper "globally optimal base station clustering in interference alignment based multicell networks"):
  with members:
    - "distributed long term base station clustering in cellular networks using coalition formation"
    - "adaptive pilot clustering in heterogeneous massive mimo networks"
    - "on the feasibility of linear interference alignment for mimo interference broadcast channels with constant coefficients"
    - "interference alignment with analog channel state feedback"
    - "interference alignment with limited feedback"
    - "pilot contamination and precoding in multi cell tdd systems"

Connected through hyperedge HE-3 (induced by source paper "performance bounds for antenna domain systems"):
  with members:
    - "rrh clustering and transmit precoding for interference limited 5g cran downlink"
    - "content centric multicast beamforming in cache enabled cloud radio access networks"
    - "fundamental limits of cooperation"
    - "optimality properties distributed strategies and measurement based evaluation of coordinated multicell ofdma transmission"

Connected through hyperedge HE-4 (induced by source paper "coordination and antenna domain formation in cloud ran systems"):
  with members:
    - "rrh clustering and transmit precoding for interference limited 5g cran downlink"
    - "fundamental limits of cooperation"
    - "optimality properties distributed strategies and measurement based evaluation of coordinated multicell ofdma transmission"

Connected through hyperedge HE-5 (induced by source paper "interference alignment aided base station clustering using coalition formation"):
  with members:
    - "overhead aware distributed csi selection in the mimo interference channel"
    - "coalitional games in partition form for joint spectrum sensing and access in cognitive radio networks"
    - "fundamental limits of cooperation"
    - "on feasibility of interference alignment in mimo interference networks"
    - "interference alignment with analog channel state feedback"
    - "on feasibility of interference alignment in mimo interference networks"

Connected through hyperedge HE-6 (induced by source paper "overhead aware distributed csi selection in the mimo interference channel"):
  with members:
    - "interference alignment with incomplete csit sharing"
    - "cooperative algorithms for mimo interference channels"
    - "interference alignment with analog channel state feedback"

Connected through hyperedge HE-7 (induced by source paper "linear precoder design for mimo interference channels with finite alphabet signaling"):
  with members:
    - "mimo interference alignment over correlated channels with imperfect csi"
    - "precoding by pairing subchannels to increase mimo capacity with discrete input alphabets"
    - "on beamformer design for multiuser mimo interference channels"
    - "statistical eigenmode transmission over jointly correlated mimo channels"
    - "degrees of freedom of the k user m times n mimo interference channel"
    - "gaussian interference channel capacity to within one bit"

Connected through hyperedge HE-8 (induced by source paper "spatial resources optimization in distributed mimo networks with limited data sharing"):
  with members:
    - "partitioning of distributed mimo systems based on overhead considerations"
    - "joint base station clustering and beamformer design for partial coordinated transmission in heterogenous networks"
    - "airsync enabling distributed multiuser mimo with full spatial multiplexing"
    - "linear precoding in cooperative mimo cellular networks with limited coordination clusters"

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)