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: "power efficient system design for cellular based machine to machine communications"
  Abstract: The growing popularity of Machine-to-Machine (M2M) communications in cellular networks is driving the need to optimize networks based on the characteristics of M2M, which are significantly different from the requirements that current networks are designed to meet. First, M2M requires large number of short sessions as opposed to small number of long lived sessions required by the human generated traffic. Second, M2M constitutes a number of battery operated devices that are static in locations such as basements and tunnels, and need to transmit at elevated powers compared to the traditional devices. Third, replacing or recharging batteries of such devices may not be feasible. All these differences highlight the importance of a systematic framework to study the power and energy optimal system design in the regime of interest for M2M, which is the main focus of this paper. For a variety of coordinated and uncoordinated transmission strategies, we derive results for the optimal transmit power, energy per bit, and the maximum load supported by the base station, leading to the following design guidelines: (i) frequency division multiple access (FDMA), including equal bandwidth allocation, is sum-power optimal in the asymptotically low spectral efficiency regime, (ii) while FDMA is the best practical strategy overall, uncoordinated code division multiple access (CDMA) is almost as good when the base station is lightly loaded, (iii) the value of optimization within FDMA is not significant in the regime of interest for M2M.

Connected through hyperedge HE-1 (induced by source paper "joint energy and sinr coverage in spatially clustered rf powered iot network"):
  with members:
    - "optimization of energy constrained wireless powered communication networks with heterogeneous nodes"
    - "3gpp inspired hetnet model using poisson cluster process sum product functionals and downlink coverage"
    - "poisson cluster process bridging the gap between ppp and 3gpp hetnet models"
    - "joint uplink and downlink coverage analysis of cellular based rf powered iot network"
    - "non orthogonal multiple access schemes in wireless powered communication networks"
    - "enriched k tier hetnet model to enable the analysis of user centric small cell deployments"
    - "poisson cluster process based analysis of hetnets with correlated user and base station locations"
    - "on optimal policies in full duplex wireless powered communication networks"

Connected through hyperedge HE-2 (induced by source paper "energy efficient resource allocation in machine to machine communications with multiple access and energy harvesting for iot"):
  with members:
    - "on user pairing in noma uplink"
    - "distributed user association in energy harvesting small cell networks an exchange economy with uncertainty"
    - "wireless energy harvesting in a cognitive relay network"
    - "power allocation and scheduling for swipt systems with non linear energy harvesting model"
    - "wireless powered communication opportunities and challenges"
    - "downlink power control in two tier cellular networks with energy harvesting small cells as stochastic games"
    - "power and load coupling in cellular networks for energy optimization"
    - "practical non linear energy harvesting model and resource allocation for swipt systems"

Connected through hyperedge HE-3 (induced by source paper "joint uplink and downlink coverage analysis of cellular based rf powered iot network"):
  with members:
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "a primer on cellular network analysis using stochastic geometry"
    - "enriched k tier hetnet model to enable the analysis of user centric small cell deployments"
    - "user point processes in cellular networks"
    - "millimeter wave energy harvesting"
    - "optimal policies for wireless networks with energy harvesting transmitters and receivers effects of decoding costs"
    - "performance analysis of ambient rf energy harvesting with repulsive point process modeling"
    - "energy harvesting wireless communications a review of recent advances"

Connected through hyperedge HE-4 (induced by source paper "coexistence of rf powered iot and a primary wireless network with secrecy guard zones"):
  with members:
    - "power allocation for secure swipt systems with wireless powered cooperative jamming"
    - "secrecy outage analysis for downlink transmissions in the presence of randomly located eavesdroppers"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "tight lower bounds on the contact distance distribution in poisson hole process"
    - "stochastic geometry based comparison of secrecy enhancement techniques in d2d networks"
    - "a primer on cellular network analysis using stochastic geometry"
    - "spatio temporal interference correlation and joint coverage in cellular networks"
    - "mimo wiretap channel under receiver side power constraints with applications to wireless power transfer and cognitive radio"

Connected through hyperedge HE-5 (induced by source paper "distributed learning for low latency machine type communication in a massive internet of things"):
  with members:
    - "cognitive lpwan towards intelligent wireless services in hybrid low power wide area networks"
    - "label less learning for traffic control in an edge network"
    - "lte lte a random access for massive machine type communications in smart cities"
    - "learning how to communicate in the internet of things finite resources and heterogeneity"
    - "learning with finite memory for machine type communication"
    - "unmanned aerial vehicle with underlaid device to device communications performance and tradeoffs"
    - "what can wireless cellular technologies do about the upcoming smart metering traffic"
    - "reliable reporting for massive m2m communications with periodic resource pooling"

Connected through hyperedge HE-6 (induced by source paper "throughput maximization for delay sensitive random access communication"):
  with members:
    - "resource allocation and harq optimization for urllc traffic in 5g wireless networks"
    - "optimizing data aggregation for uplink machine to machine communication networks"
    - "wide area wireless communication challenges for the internet of things"
    - "optimum power control at finite blocklength"
    - "fundamentals of throughput maximization with random arrivals for m2m communications"

Connected through hyperedge HE-7 (induced by source paper "network lifetime maximization for cellular based m2m networks"):
  with members:
    - "energy efficient scheduling and grouping for machine type communications over cellular networks"
    - "e 2 mac energy efficient medium access for massive m2m communications"
    - "design of a scalable hybrid mac protocol for heterogeneous m2m networks"
    - "a quantitative measure of fairness and discrimination for resource allocation in shared computer systems"

Connected through hyperedge HE-8 (induced by source paper "learning how to communicate in the internet of things finite resources and heterogeneity"):
  with members:
    - "efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage"
    - "learning with finite memory for machine type communication"
    - "unmanned aerial vehicle with underlaid device to device communications performance and tradeoffs"
    - "mobile internet of things can uavs provide an energy efficient mobile architecture"
    - "towards massive ultra reliable and low latency wireless communication with short packets"
    - "wireless communications in the era of big data"
    - "towards massive machine type cellular communications"
    - "towards a consumer centric grid a behavioral perspective"

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)