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 "robust monotonic optimization framework for multicell miso systems"):
  Abstract: The performance of multiuser systems is both difficult to measure fairly and to optimize. Most resource allocation problems are nonconvex and NP-hard, even under simplifying assumptions such as perfect channel knowledge, homogeneous channel properties among users, and simple power constraints. We establish a general optimization framework that systematically solves these problems to global optimality. The proposed branch-reduce-and-bound (BRB) algorithm handles general multicell downlink systems with single-antenna users, multiantenna transmitters, arbitrary quadratic power constraints, and robust- ness to channel uncertainty. A robust fairness-profile optimization (RFO) problem is solved at each iteration, which is a quasiconvex problem and a novel generalization of max-min fairness. The BRB algorithm is computationally costly, but it shows better convergence than the previously proposed outer polyblock approximation algorithm. Our framework is suitable for computing benchmarks in general multicell systems with or without channel uncertainty. We illustrate this by deriving and evaluating a zero-forcing solution to the general problem.

Includes members:
  Member "non convex utility maximization in gaussian miso broadcast and interference channels":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "efficient global optimal resource allocation in non orthogonal interference networks")
  Member "robust linear precoder design for multi cell downlink transmission":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "non orthogonal unicast and broadcast transmission via joint beamforming and ldm in cellular networks")
  Member "optimality properties distributed strategies and measurement based evaluation of coordinated multicell ofdma transmission":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "multiple antenna technologies for beyond 5g")
  Member "optimal beamforming in interference networks with perfect local channel information":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "heterogeneous multi tier networks improper signaling for joint rate energy optimization")
  Member "probabilistic sinr constrained robust transmit beamforming a bernstein type inequality based conservative approach":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "robust resource allocation for pd noma based miso heterogeneous networks with comp technology")
  Member "multi cell mimo downlink with fairness criteria the large system limit":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "iterative deterministic equivalents for the performance analysis of communication systems")
  Member "cooperative interference management with miso beamforming":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "intelligent reflecting surface aided multiple access capacity region and deployment strategy")
  Member "fairness in multiuser systems with polymatroid capacity region":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "optimum transmission through the multiple antenna gaussian multiple access channel")

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)