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 "correction factor for analysis of mimo wireless networks with highly directional beamforming"):
  Abstract: Most theoretical studies for multiple input multiple output (MIMO) wireless networks with beamforming model the actual received signal power as a product of some fixed antenna gain and the nominal received signal power. The nominal received signal power being that from an omni-directional transmission on a single input single output (SISO) link. Since the power angular spectrum is often significantly different for line of sight (LOS) and non-LOS (NLOS) links, multiplying the same antenna gain for both LOS and NLOS links leads to erroneous estimates of the actual received signal power. We quantify the difference in effective antenna gain for NLOS and LOS links as a function of number of dominant paths in the channel using a popular narrowband geometric channel model, when the number of antennas at the transmitter and receiver is large. We call this difference the correction factor. Using the recent New Radio (NR) 3GPP channel model we confirm that the effective antenna gain for NLOS links can be about 10 dB lower than for LOS links.

Includes members:
  Member "performance of dynamic and static tdd in self backhauled millimeter wave cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "dynamic tdd interference analysis in macro cell and small cell deployments")
  Member "design and analysis of initial access in millimeter wave cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "sense and predict harnessing spatial interference correlation for cognitive radio networks")
  Member "a comparison of mimo techniques in downlink millimeter wave cellular networks with hybrid beamforming":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "multi user provisioning in millimeter wave urban cellular networks")
  Member "tractable resource management with uplink decoupled millimeter wave overlay in ultra dense cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "wireless edge computing with latency and reliability guarantees")
  Member "on the joint impact of beamwidth and orientation error on throughput in directional wireless poisson networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "analyzing the tradeoffs in using millimeter wave directional links for high data rate tactile internet applications")
  Member "coverage and rate analysis for millimeter wave cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "optimizing information freshness in wireless networks a stochastic geometry approach")
  Member "millimeter wave channel modeling and cellular capacity evaluation":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "coverage analysis of uavs in millimeter wave networks a stochastic geometry approach")
  Member "transmission capacity of ad hoc networks with spatial diversity":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "area spectral efficiency and sinr scaling laws in multi antenna cellular networks")

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)