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 "grant free massive mtc enabled massive mimo a compressive sensing approach"):
  Abstract: A key challenge of massive MTC (mMTC), is the joint detection of device activity and decoding of data. The sparse characteristics of mMTC makes compressed sensing (CS) approaches a promising solution to the device detection problem. However, utilizing CS-based approaches for device detection along with channel estimation, and using the acquired estimates for coherent data transmission is suboptimal, especially when the goal is to convey only a few bits of data. #R##N#First, we focus on the coherent transmission and demonstrate that it is possible to obtain more accurate channel state information by combining conventional estimators with CS-based techniques. Moreover, we illustrate that even simple power control techniques can enhance the device detection performance in mMTC setups. #R##N#Second, we devise a new non-coherent transmission scheme for mMTC and specifically for grant-free random access. We design an algorithm that jointly detects device activity along with embedded information bits. The approach leverages elements from the approximate message passing (AMP) algorithm, and exploits the structured sparsity introduced by the non-coherent transmission scheme. Our analysis reveals that the proposed approach has superior performance compared to application of the original AMP approach.

Includes members:
  Member "massive connectivity with massive mimo part i device activity detection and channel estimation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "faster activity and data detection in massive random access a multi armed bandit approach")
  Member "a novel receiver design with joint coherent and non coherent processing":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "on the performance of splitting receiver with joint coherent and non coherent processing")
  Member "user activity detection in massive random access compressed sensing vs coded slotted aloha":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "phase transition analysis for covariance based massive random access with massive mimo")
  Member "device activity and embedded information bit detection using amp in massive mimo":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "on throughput of compressive random access for one short message delivery in iot")
  Member "random pilot and data access in massive mimo for machine type communications":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "on throughput of compressive random access for one short message delivery in iot")
  Member "random access protocols for massive mimo":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "online estimation and adaptation for random access with successive interference cancellation")
  Member "compressive sensing based multiuser detector for the large scale sm mimo uplink":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a survey on spatial modulation in emerging wireless systems research progresses and applications")
  Member "design and performance analysis of noncoherent detection systems with massive receiver arrays":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "massive mimo for internet of things iot connectivity")

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)