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: "energy efficient power control a look at 5g wireless technologies"
  Abstract: This paper develops power control algorithms for energy efficiency (EE) maximization (measured in bit/Joule) in wireless networks. Unlike previous related works, minimum-rate constraints are imposed and the signal-to-interference-plus-noise ratio takes a more general expression, which allows one to encompass some of the most promising 5G candidate technologies. Both network-centric and user-centric EE maximizations are considered. In the network-centric scenario, the maximization of the global EE and the minimum EE of the network is performed. Unlike previous contributions, we develop centralized algorithms that are guaranteed to converge, with affordable computational complexity, to a Karush–Kuhn–Tucker point of the considered non-convex optimization problems. Moreover, closed-form feasibility conditions are derived. In the user-centric scenario, game theory is used to study the equilibria of the network and to derive convergent power control algorithms, which can be implemented in a fully decentralized fashion. Both scenarios above are studied under the assumption that single or multiple resource blocks are employed for data transmission. Numerical results assess the performance of the proposed solutions, analyzing the impact of minimum-rate constraints, and comparing the network-centric and user-centric approaches.

Connected through hyperedge HE-1 (induced by source paper "energy efficiency optimization for downlink massive mimo with statistical csit"):
  with members:
    - "beam domain secure transmission for massive mimo communications"
    - "fractional programming for communication systems part i power control and beamforming"
    - "energy efficient multicell multigroup multicasting with joint beamforming and antenna selection"
    - "fdd massive mimo via ul dl channel covariance extrapolation and active channel sparsification"
    - "network deployment for maximal energy efficiency in uplink with multislope path loss"
    - "energy efficient beam coordination strategies with rate dependent processing power"
    - "bdma for millimeter wave terahertz massive mimo transmission with per beam synchronization"
    - "free deterministic equivalents for the analysis of mimo multiple access channel"

Connected through hyperedge HE-2 (induced by source paper "game theory for multi access edge computing survey use cases and future trends"):
  with members:
    - "non cooperative game theory based rate adaptation for dynamic video streaming over http"
    - "fog computing a taxonomy survey and future directions"
    - "optimal pricing for a peer to peer sharing platform under network externalities"
    - "a survey on mobile edge networks convergence of computing caching and communications"
    - "a survey on mobile edge computing the communication perspective"
    - "sustainable incentives for mobile crowdsensing"
    - "multi agent reinforcement learning in sequential social dilemmas"
    - "mobile edge computing a survey on architecture and computation offloading"

Connected through hyperedge HE-3 (induced by source paper "computation offloading for iot in c ran optimization and deep learning"):
  with members:
    - "non stationarities in extra large scale massive mimo"
    - "cross layer design for mission critical iot in mobile edge computing systems"
    - "two timescale hybrid compression and forward for massive mimo aided c ran"
    - "learning to optimize training deep neural networks for interference management"
    - "beyond massive mimo the potential of positioning with large intelligent surfaces"
    - "applications of deep reinforcement learning in communications and networking a survey"
    - "performance analysis of large intelligence surfaces liss asymptotic data rate and channel hardening effects"
    - "deep learning in mobile and wireless networking a survey"

Connected through hyperedge HE-4 (induced by source paper "energy efficient power and channel allocation in underlay device to multi device communications"):
  with members:
    - "system level modeling and optimization of the energy efficiency in cellular networks a stochastic geometry framework"
    - "optimal resource allocation in multicast device to device communications underlaying lte networks"
    - "radio resource allocation for device to device underlay communication using hypergraph theory"
    - "a tractable framework for the analysis of dense heterogeneous cellular networks"
    - "gaussian approximation for the downlink interference in heterogeneous cellular networks"
    - "device to device millimeter wave communications interference coverage rate and finite topologies"
    - "modeling and performance analysis of clustered device to device networks"
    - "an analytical framework for device to device communication in cellular networks"

Connected through hyperedge HE-5 (induced by source paper "energy efficiency maximization via joint sub carrier assignment and power control for ofdma full duplex networks"):
  with members:
    - "optimal joint power and subcarrier allocation for full duplex multicarrier non orthogonal multiple access systems"
    - "energy efficient heterogeneous cellular networks with spectrum underlay and overlay access"
    - "power efficient resource allocation for full duplex radio distributed antenna networks"
    - "throughput analysis for full duplex wireless networks with imperfect self interference cancellation"
    - "power efficient and secure full duplex wireless communication systems"
    - "energy efficient scheduling and power allocation in downlink ofdma networks with base station coordination"
    - "full duplex mobile device pushing the limits"
    - "wireless information and power transfer energy efficiency optimization in ofdma systems"

Connected through hyperedge HE-6 (induced by source paper "mixed monotonic programming for fast global optimization"):
  with members:
    - "optimization of weighted individual energy efficiencies in interference networks"
    - "efficient global optimal resource allocation in non orthogonal interference networks"
    - "resource allocation for energy efficient 3 way relay channels"
    - "robust monotonic optimization framework for multicell miso systems"
    - "achieving global optimality for weighted sum rate maximization in the k user gaussian interference channel with multiple antennas"
    - "framework for link level energy efficiency optimization with informed transmitter"
    - "mapel achieving global optimality for a non convex wireless power control problem"
    - "optimal linear precoding strategies for wideband non cooperative systems based on game theory part ii algorithms"

Connected through hyperedge HE-7 (induced by source paper "learning deterministic policy with target for power control in wireless networks"):
  with members:
    - "performance limits of network densification"
    - "theoretically grounded policy advice from multiple teachers in reinforcement learning settings with applications to negative transfer"
    - "continuous control with deep reinforcement learning"
    - "enhanced intercell interference coordination challenges in heterogeneous networks"

Connected through hyperedge HE-8 (induced by source paper "energy efficiency optimization a new trade off between fairness and total system performance"):
  with members:
    - "a framework for weighted sum energy efficiency maximization in wireless networks"
    - "multiobjective signal processing optimization the way to balance conflicting metrics in 5g systems"
    - "energy efficient scheduling and power allocation in downlink ofdma networks with base station coordination"

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)