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: "design and performance analysis of noncoherent detection systems with massive receiver arrays"
  Abstract: Harvesting the gain of a large number of antennas in a millimeter-waveband has mainly been relying on the costly operation of channel state information acquisition and cumbersome phase shifters. Recent works have started to investigate the possibility to use receivers based on energy detection (ED), where a single data stream is decoded based on the channel and noise energy. The asymptotic features of the massive receiver array lead to a system where the impact of the noise becomes predictable due to a noise hardening effect. Meanwhile, when the channel has a large number of spatial degrees of freedom, the system becomes robust to imperfect channel knowledge due to channel hardening. We propose two detection methods based on the instantaneous and average channel energy, respectively. Differently from existing works, we analyze the scaling law behavior of the symbol error rate (SER). When the instantaneous channel energy is known, the performance of ED approaches that of the coherent detection in high SNR scenarios. When the receiver relies on the average channel energy, our performance analysis is based on the exact SER, rather than an approximation. It is shown that the logarithm of SER decreases linearly as a function of the number of antennas. Additionally, a saturation appears at high SNR for pulse amplitude modulation constellations of order larger than two, due to the uncertainty on the channel energy. Simulation results show that ED, with a much lower complexity, achieves promising performance both in Rayleigh fading channels and in sparse channels.

Connected through hyperedge HE-1 (induced by source paper "massive mimo for internet of things iot connectivity"):
  with members:
    - "massive mimo unsourced random access"
    - "ultrareliable and low latency communication techniques for tactile internet services"
    - "non stationarities in extra large scale massive mimo"
    - "ubiquitous cell free massive mimo communications"
    - "sparcs for unsourced random access"
    - "management of network slicing in 5g radio access networks functional framework and information models"
    - "grant free massive mtc enabled massive mimo a compressive sensing approach"
    - "massive mimo for ultra reliable communications with constellations for dual coherent noncoherent detection"

Connected through hyperedge HE-2 (induced by source paper "on the performance of splitting receiver with joint coherent and non coherent processing"):
  with members:
    - "signal processing for high throughput satellites challenges in new interference limited scenarios"
    - "fundamentals of wireless information and power transfer from rf energy harvester models to signal and system designs"
    - "a novel receiver design with joint coherent and non coherent processing"
    - "channel estimation and performance analysis of one bit massive mimo systems"
    - "next generation backscatter communication systems techniques and applications"
    - "dense small cell networks from noise limited to dense interference limited"
    - "capacity analysis of one bit quantized mimo systems with transmitter channel state information"
    - "massive mimo for next generation wireless systems"

Connected through hyperedge HE-3 (induced by source paper "noncoherent and non orthogonal massive simo for critical industrial iot communications"):
  with members:
    - "fractional programming for communication systems part i power control and beamforming"
    - "ultra reliable low latency cellular networks use cases challenges and approaches"
    - "quadrature amplitude modulation division for multiuser miso broadcast channels"
    - "energy based modulation for noncoherent massive simo systems"
    - "large system analysis of linear precoding in correlated miso broadcast channels under limited feedback"

Connected through hyperedge HE-4 (induced by source paper "noncoherent multiuser massive simo for low latency industrial iot communications"):
  with members:
    - "ultra reliable low latency cellular networks use cases challenges and approaches"
    - "quadrature amplitude modulation division for multiuser miso broadcast channels"

Connected through hyperedge HE-5 (induced by source paper "wireless access in ultra reliable low latency communication urllc"):
  with members:
    - "how reliable and capable is multi connectivity"
    - "wireless channel dynamics and robustness for ultra reliable low latency communications"
    - "improving network availability of ultra reliable and low latency communications with multi connectivity"
    - "packet duplication in dual connectivity enabled 5g wireless networks overview and challenges"
    - "massive mimo for ultra reliable communications with constellations for dual coherent noncoherent detection"
    - "ultra reliable and low latency wireless communication tail risk and scale"
    - "energy latency tradeoff in ultra reliable low latency communication with retransmissions"
    - "ultra reliable and low latency communications in 5g downlink physical layer aspects"

Connected through hyperedge HE-6 (induced by source paper "grant free massive mtc enabled massive mimo a compressive sensing approach"):
  with members:
    - "massive connectivity with massive mimo part i device activity detection and channel estimation"
    - "a novel receiver design with joint coherent and non coherent processing"
    - "user activity detection in massive random access compressed sensing vs coded slotted aloha"
    - "device activity and embedded information bit detection using amp in massive mimo"
    - "random pilot and data access in massive mimo for machine type communications"
    - "random access protocols for massive mimo"
    - "compressive sensing based multiuser detector for the large scale sm mimo uplink"
    - "massive machine type communications in 5g physical and mac layer solutions"

Connected through hyperedge HE-7 (induced by source paper "massive mimo for ultra reliable communications with constellations for dual coherent noncoherent detection"):
  with members:
    - "wireless access for ultra reliable low latency communication urllc principles and building blocks"
    - "massive mimo for next generation wireless systems"
    - "massive mimo for maximal spectral efficiency how many users and pilots should be allocated"
    - "five disruptive technology directions for 5g"

Connected through hyperedge HE-8 (induced by source paper "a novel receiver design with joint coherent and non coherent processing"):
  with members:
    - "modeling and analyzing millimeter wave cellular systems"
    - "swipt with practical modulation and rf energy harvesting sensitivity"
    - "wireless powered communication opportunities and challenges"
    - "simultaneous wireless information and power transfer in modern communication systems"
    - "wireless networks with rf energy harvesting a contemporary survey"
    - "wireless information and power transfer architecture design and rate energy tradeoff"
    - "on the capacity of free space optical intensity channels"

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)