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: "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.

Connected through hyperedge HE-1 (induced by source paper "energy efficient downlink transmission for multicell massive das with pilot contamination"):
  with members:
    - "joint power allocation and user association optimization for massive mimo systems"
    - "asymptotic orthogonality analysis of time domain sparse massive mimo channels"
    - "interference management in 5g reverse tdd hetnets with wireless backhaul a large system analysis"
    - "large scale mimo relaying techniques for physical layer security af or df"
    - "joint power and antenna selection optimization in large cloud radio access networks"
    - "impact of transceiver power consumption on the energy efficiency of zero forcing detector in massive mimo systems"
    - "massive mimo for next generation wireless systems"
    - "what will 5g be"

Connected through hyperedge HE-2 (induced by source paper "joint load balancing and interference mitigation in 5g heterogeneous networks"):
  with members:
    - "optimal hierarchical radio resource management for hetnets with flexible backhaul"
    - "ultra reliable and low latency communication in mmwave enabled massive mimo networks"
    - "user association in 5g networks a survey and an outlook"
    - "joint in band backhauling and interference mitigation in 5g heterogeneous networks"
    - "interference management in 5g reverse tdd hetnets with wireless backhaul a large system analysis"
    - "cooperative interference mitigation algorithm in heterogeneous networks"
    - "an overview of load balancing in hetnets old myths and open problems"
    - "optimal user cell association for massive mimo wireless networks"

Connected through hyperedge HE-3 (induced by source paper "convergence analysis and assurance for gaussian message passing iterative detector in massive mu mimo systems"):
  with members:
    - "low complexity near optimal signal detection for uplink large scale mimo systems"
    - "large scale mimo detection for 3gpp lte algorithms and fpga implementations"
    - "scaling up mimo opportunities and challenges with very large arrays"
    - "energy efficient sensing and communication of parallel gaussian sources"
    - "par aware large scale multi user mimo ofdm downlink"
    - "energy and spectral efficiency of very large multiuser mimo systems"
    - "fixing convergence of gaussian belief propagation"
    - "gaussian belief propagation theory and application"

Connected through hyperedge HE-4 (induced by source paper "coordinated shared spectrum precoding with distributed csit"):
  with members:
    - "proof of the outage probability conjecture for miso channels"
    - "exploiting multi antennas for opportunistic spectrum sharing in cognitive radio networks"
    - "on peak versus average interference power constraints for protecting primary users in cognitive radio 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)