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: "call admission control based on adaptive bandwidth allocation for wireless networks"
  Abstract: Provisioning of quality of service (QoS) is a key issue in any multi-media system. However, in wireless systems, supporting QoS requirements of different traffic types is a more challenging problem due to the need to simultaneously minimize two performance metrics - the probability of dropping a handover call and the probability of blocking a new call. Since QoS requirements are not as stringent for non-real-time traffic, as opposed to real-time traffic, more calls can be accommodated by releasing some bandwidth from the already admitted non-real-time traffic calls. If the released bandwidth that is used to handle handover calls is larger than the released bandwidth that is used for new calls, then the resulting probability of dropping a handover call is smaller than the probability of blocking a new call. In this paper, we propose an efficient call admission control algorithm that relies on adaptive multi-level bandwidth-allocation scheme for non-realtime calls. The scheme allows reduction of the call dropping probability, along with an increase in the bandwidth utilization. The numerical results show that the proposed scheme is capable of attaining negligible handover call dropping probability without sacrificing bandwidth utilization.

Connected through hyperedge HE-1 (induced by source paper "interference management based on rt nrt traffic classification for ffr aided small cell macrocell heterogeneous networks"):
  with members:
    - "game based approach for qos provisioning and interference management in heterogeneous networks"
    - "radio resource management based on reused frequency allocation for dynamic channel borrowing scheme in wireless networks"
    - "class based service connectivity using multi level bandwidth adaptation in multimedia wireless networks"
    - "handover management in high dense femtocellular networks"
    - "cost effective frequency planning for capacity enhancement of femtocellular networks"

Connected through hyperedge HE-2 (induced by source paper "a game theoretical approach for qos provisioning in heterogeneous networks"):
  with members:
    - "cost effective frequency planning for capacity enhancement of femtocellular networks"
    - "open vs closed access femtocells in the uplink"
    - "power control in two tier femtocell networks"
    - "uplink capacity and interference avoidance for two tier femtocell networks"

Connected through hyperedge HE-3 (induced by source paper "on demand cell sectoring based fractional frequency reuse in wireless networks"):
  with members:
    - "cost effective frequency planning for capacity enhancement of femtocellular networks"

Connected through hyperedge HE-4 (induced by source paper "radio resource management based on reused frequency allocation for dynamic channel borrowing scheme in wireless networks"):
  with members:
    - "radio resource allocation for scalable video services over wireless cellular networks"
    - "cost effective frequency planning for capacity enhancement of femtocellular networks"
    - "service quality improvement of mobile users in vehicular environment by mobile femtocell network deployment"

Connected through hyperedge HE-5 (induced by source paper "qos provisioning using optimal call admission control for wireless cellular networks"):
  with members:
    - "dynamic channel allocation for class based qos provisioning and call admission in visible light communication"
    - "class based service connectivity using multi level bandwidth adaptation in multimedia wireless networks"

Connected through hyperedge HE-6 (induced by source paper "adaptive resource management for multimedia applications in femtocellular and macrocellular networks"):
  with members:
    - "handover between macrocell and femtocell for umts based networks"
    - "cost effective frequency planning for capacity enhancement of femtocellular networks"
    - "network evolution and qos provisioning for integrated femtocell macrocell networks"
    - "self optimized coverage coordination in femtocell networks"
    - "interference mitigation using dynamic frequency re use for dense femtocell network architectures"
    - "femtocell networks a survey"

Connected through hyperedge HE-7 (induced by source paper "class based interference management in wireless networks"):
  with members:
    - "radio resource management for dynamic channel borrowing scheme in wireless networks"
    - "interference declination for dynamic channel borrowing scheme in wireless networks"
    - "service quality improvement of mobile users in vehicular environment by mobile femtocell network deployment"

Connected through hyperedge HE-8 (induced by source paper "radio resource management for dynamic channel borrowing scheme in wireless networks"):
  with members:
    - "interface selection for power management in umts wlan overlaying network"
    - "cost effective frequency planning for capacity enhancement of femtocellular 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.MM(Multimedia)