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 "optimized transmission with improper gaussian signaling in the k user miso interference channel"):
  Abstract: This paper studies the achievable rate region of the K-user Gaussian multiple-input single-output interference channel (MISO-IC) with the interference treated as noise, when improper or circularly asymmetric complex Gaussian signaling is applied. The transmit optimization with improper Gaussian signaling involves not only the signal covariance matrix as in the conventional proper or circularly symmetric Gaussian signaling, but also the signal pseudo-covariance matrix, which is conventionally set to zero in proper Gaussian signaling. By exploiting the separable rate expression with improper Gaussian signaling, we propose a separate transmit covariance and pseudo-covariance optimization algorithm, which is guaranteed to improve the users' achievable rates over the conventional proper Gaussian signaling. In particular, for the pseudo-covariance optimization, we establish the optimality of rank-1 pseudo-covariance matrices, given the optimal rank-1 transmit covariance matrices for achieving the Pareto boundary of the rate region. Based on this result, we are able to greatly reduce the number of variables in the pseudo-covariance optimization problem and thereby develop an efficient solution by applying the celebrated semidefinite relaxation (SDR) technique. Finally, we extend the result to the Gaussian MISO broadcast channel (MISO-BC) with improper Gaussian signaling or so-called widely linear transmit precoding.

Includes members:
  Member "transmit optimization with improper gaussian signaling for interference channels":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "two user simo interference channel with tin improper signaling versus time sharing")
  Member "pareto characterization of the multicell mimo performance region with simple receivers":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "linear transceiver optimization in multicell mimo based on the generalized benders decomposition")
  Member "robust monotonic optimization framework for multicell miso systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "robust resource allocation for pd noma based miso heterogeneous networks with comp technology")
  Member "achieving global optimality for weighted sum rate maximization in the k user gaussian interference channel with multiple antennas":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "mixed monotonic programming for fast global optimization")
  Member "optimal beamforming in interference networks with perfect local channel information":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "heterogeneous multi tier networks improper signaling for joint rate energy optimization")
  Member "rate region frontiers for n user interference channel with interference as noise":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "full duplex radio for uplink downlink wireless access with spatially random nodes")
  Member "balancing egoism and altruism on the interference channel the mimo case":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "signal processing and optimal resource allocation for the interference channel")
  Member "cooperative interference management with miso beamforming":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "intelligent reflecting surface aided multiple access capacity region and deployment strategy")

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)