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: "the interplay between massive mimo and underlaid d2d networking"
  Abstract: In a device-to-device (D2D) underlaid cellular network, the uplink spectrum is reused by the D2D transmissions, causing mutual interference with the ongoing cellular transmissions. Massive MIMO is appealing in such a context as the base station's (BS's) large antenna array can nearly null the D2D-to-BS interference. The multi-user transmission in massive MIMO, however, may lead to increased cellular-to-D2D interference. This paper studies the interplay between massive MIMO and underlaid D2D networking in a multi-cell setting. We investigate cellular and D2D spectral efficiency under both perfect and imperfect channel state information (CSI) at the receivers that employ partial zero-forcing. Compared to the case without D2D, there is a loss in cellular spectral efficiency due to D2D underlay. With perfect CSI, the loss can be completely overcome if the number of canceled D2D interfering signals is scaled with the number of BS antennas at an arbitrarily slow rate. With imperfect CSI, in addition to pilot contamination, a new asymptotic effect termed underlay contamination arises. In the non-asymptotic regime, simple analytical lower bounds are derived for both the cellular and D2D spectral efficiency.

Connected through hyperedge HE-1 (induced by source paper "joint optimization of signal design and resource allocation in wireless d2d edge computing"):
  with members:
    - "joint task assignment and resource allocation for d2d enabled mobile edge computing"
    - "joint computation and communication cooperation for energy efficient mobile edge computing"
    - "decentralized computation offloading for multi user mobile edge computing a deep reinforcement learning approach"
    - "joint offloading and computing optimization in wireless powered mobile edge computing systems"
    - "multiuser resource allocation for mobile edge computation offloading"
    - "joint optimization of radio and computational resources for multicell mobile edge computing"
    - "on feasibility of interference alignment in mimo interference networks"
    - "on feasibility of interference alignment in mimo interference networks"

Connected through hyperedge HE-2 (induced by source paper "optimized power control for massive mimo with underlaid d2d communications"):
  with members:
    - "power control for d2d underlay in multi cell massive mimo networks"
    - "spectral and energy efficiency of uplink d2d underlaid massive mimo cellular networks"
    - "joint pilot design and uplink power allocation in multi cell massive mimo systems"
    - "pilot reuse among d2d users in d2d underlaid massive mimo systems"
    - "energy efficiency and sum rate tradeoffs for massive mimo systems with underlaid device to device communications"
    - "a survey on device to device communication in cellular networks"
    - "massive mimo for next generation wireless systems"
    - "what will 5g be"

Connected through hyperedge HE-3 (induced by source paper "joint power and resource allocation of d2d communication with low resolution adc"):
  with members:
    - "throughput analysis of massive mimo uplink with low resolution adcs"
    - "pilot reuse among d2d users in d2d underlaid massive mimo systems"
    - "energy efficiency and sum rate when massive mimo meets device to device communication"
    - "uplink achievable rate for massive mimo systems with low resolution adc"
    - "d2d based v2v communications with latency and reliability constraints"

Connected through hyperedge HE-4 (induced by source paper "downlink goodput analysis for d2d underlaying massive mimo networks"):
  with members:
    - "femtocaching and device to device collaboration a new architecture for wireless video distribution"

Connected through hyperedge HE-5 (induced by source paper "enhancing performance of random caching in large scale wireless networks with multiple receive antennas"):
  with members:
    - "spatial alignment of coding and modulation helps content delivery"
    - "caching policy toward maximal success probability and area spectral efficiency of cache enabled hetnets"
    - "random caching in backhaul limited multi antenna networks analysis and area spectrum efficiency optimization"
    - "temporal spatial aggregation for cache enabled wireless multicasting networks with asynchronous content requests"
    - "joint and competitive caching designs in large scale multi tier wireless multicasting networks"
    - "wireless caching technical misconceptions and business barriers"
    - "a learning based approach to caching in heterogenous small cell networks"
    - "analysis and optimization of caching and multicasting in large scale cache enabled heterogeneous wireless networks"

Connected through hyperedge HE-6 (induced by source paper "power control for d2d underlay in multi cell massive mimo networks"):
  with members:
    - "pilot reuse among d2d users in d2d underlaid massive mimo systems"
    - "cell free massive mimo versus small cells"
    - "a survey on device to device communication in cellular networks"
    - "massive mimo for next generation wireless systems"
    - "what will 5g be"

Connected through hyperedge HE-7 (induced by source paper "spectral and energy efficiency of uplink d2d underlaid massive mimo cellular networks"):
  with members:
    - "performance analysis of mixed adc massive mimo systems over rician fading channels"
    - "on the spectral efficiency of massive mimo systems with low resolution adcs"
    - "user association in 5g networks a survey and an outlook"
    - "energy efficiency and sum rate tradeoffs for massive mimo systems with underlaid device to device communications"
    - "mode selection resource allocation and power control for d2d enabled two tier cellular network"
    - "secure communications in millimeter wave ad hoc networks"
    - "deploying dense networks for maximal energy efficiency small cells meet massive mimo"
    - "large scale mimo versus network mimo for multicell interference mitigation"

Connected through hyperedge HE-8 (induced by source paper "pilot reuse among d2d users in d2d underlaid massive mimo systems"):
  with members:
    - "energy efficient joint resource allocation and power control for d2d communications"
    - "graph coloring based pilot allocation to mitigate pilot contamination for multi cell massive mimo systems"
    - "energy efficient resource allocation for device to device underlay communication"
    - "an uplink interference analysis for massive mimo systems with mrc and zf receivers"
    - "pilot reuse for massive mimo transmission over spatially correlated rayleigh fading channels"
    - "a survey on device to device communication in cellular networks"
    - "asymptotic coverage probability and rate in massive mimo networks"
    - "a coordinated approach to channel estimation in large scale multiple antenna systems"

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)