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 "large system analysis of cognitive radio network via partially projected regularized zero forcing precoding"):
  Abstract: In this paper, we consider a cognitive radio (CR) network in which a secondary multiantenna base station (BS) attempts to communicate with multiple secondary users (SUs) using the radio frequency spectrum that is originally allocated to multiple primary users (PUs). Here, we employ partially-projected regularized zero-forcing (PP-RZF) precoding to control the amount of interference at the PUs and to minimize inter-SUs interference. The PP-RZF precoding partially projects the channels of the SUs into the null space of the channels from the secondary BS to the PUs. The regularization parameter and the projection control parameter are used to balance the transmissions to the PUs and the SUs. However, the search for the optimal parameters, which can maximize the ergodic sum-rate of the CR network, is a demanding process because it involves Monte-Carlo averaging. Then, we derive a deterministic expression for the ergodic sum-rate achieved by the PP-RZF precoding using recent advancements in large dimensional random matrix theory. The deterministic equivalent enables us to efficiently determine the two critical parameters in the PP-RZF precoding because no Monte-Carlo averaging is required. Several insights are also obtained through the analysis.

Includes members:
  Member "super resolution sparse mimo ofdm channel estimation based on spatial and temporal correlations":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "robustness of two dimensional line spectral estimation against spiky noise")
  Member "joint beamforming and power control in coordinated multicell max min duality effective network and large system transition":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "joint user selection power allocation and precoding design with imperfect csit for multi cell mu mimo downlink systems")
  Member "multi pair amplify and forward relaying with very large antenna arrays":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "hybrid processing design for multipair massive mimo relaying with channel spatial correlation")
  Member "large system analysis of cooperative multi cell downlink transmission via regularized channel inversion with imperfect csit":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "performance of network assisted full duplex for cell free massive mimo")
  Member "optimal power allocation and user loading for multiuser miso channels with regularized channel inversion":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "optimal multiuser loading in quantized massive mimo under spatially correlated channels")
  Member "on capacity of large scale mimo multiple access channels with distributed sets of correlated antennas":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "non bayesian activity detection large scale fading coefficient estimation and unsourced random access with a massive mimo receiver")
  Member "large system analysis of linear precoding in miso broadcast channels with confidential messages":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "secure regularized zero forcing for multiuser mimome channels")
  Member "message passing algorithm for distributed downlink regularized zero forcing beamforming with cooperative base stations":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "an overview of transmission theory and techniques of large scale antenna systems for 5g wireless communications")

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)