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 resource allocation in wireless networks with quality of service constraints"
  Abstract: A game-theoretic model is proposed to study the cross-layer problem of joint power and rate control with quality of service (QoS) constraints in multiple-access networks. In the proposed game, each user seeks to choose its transmit power and rate in a distributed manner in order to maximize its own utility while satisfying its QoS requirements. The user's QoS constraints are specified in terms of the average source rate and an upper bound on the average delay where the delay includes both transmission and queuing delays. The utility function considered here measures energy efficiency and is particularly suitable for wireless networks with energy constraints. The Nash equilibrium solution for the proposed non-cooperative game is derived and a closed-form expression for the utility achieved at equilibrium is obtained. It is shown that the QoS requirements of a user translate into a "size" for the user which is an indication of the amount of network resources consumed by the user. Using this competitive multiuser framework, the tradeoffs among throughput, delay, network capacity and energy efficiency are studied. In addition, analytical expressions are given for users' delay profiles and the delay performance of the users at Nash equilibrium is quantified.

Connected through hyperedge HE-1 (induced by source paper "energy efficient resource allocation optimization for multimedia heterogeneous cloud radio access networks"):
  with members:
    - "inter tier interference suppression in heterogeneous cloud radio access networks"
    - "fronthaul constrained cloud radio access networks insights and challenges"
    - "system architecture and key technologies for 5g heterogeneous cloud radio access networks"
    - "joint power and antenna selection optimization in large cloud radio access networks"
    - "heterogeneous cloud radio access networks a new perspective for enhancing spectral and energy efficiencies"
    - "cache enabled opportunistic cooperative mimo for video streaming in wireless systems"
    - "energy efficiency and spectral efficiency tradeoff in device to device d2d communications"
    - "sparse beamforming and user centric clustering for downlink cloud radio access network"

Connected through hyperedge HE-2 (induced by source paper "on optimizing energy efficiency in multi radio multi channel wireless networks"):
  with members:
    - "throughput maximization in wireless powered communication networks"
    - "fundamental tradeoffs on green wireless networks"

Connected through hyperedge HE-3 (induced by source paper "efficient and distributed sinr based joint resource allocation and base station assignment in wireless cdma networks"):
  with members:
    - "a game theoretic approach to energy efficient modulation in cdma networks with delay qos constraints"

Connected through hyperedge HE-4 (induced by source paper "energy efficient resource allocation in wireless networks"):
  with members:
    - "a game theoretic approach to energy efficient modulation in cdma networks with delay qos constraints"
    - "a non cooperative power control game in delay constrained multiple access networks"

Connected through hyperedge HE-5 (induced by source paper "a game theoretic approach to energy efficient modulation in cdma networks with delay qos constraints"):
  with members:
    - "a non cooperative power control game in delay constrained multiple access networks"

Connected through hyperedge HE-6 (induced by source paper "energy efficient power and rate control with qos constraints a game theoretic approach"):
  with members:
    - "a game theoretic approach to energy efficient power control in multi carrier cdma systems"
    - "a non cooperative power control game in delay constrained multiple access networks"

Connected through hyperedge HE-7 (induced by source paper "energy efficiency and delay quality of service in wireless networks"):
  with members:
    - "a non cooperative power control game in delay constrained multiple access networks"

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)