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 joint source and channel sensing in cognitive radio sensor networks"
  Abstract: A novel concept of Joint Source and Channel Sensing (JSCS) is introduced in the context of Cognitive Radio Sensor Networks (CRSN). Every sensor node has two basic tasks: application-oriented source sensing and ambient-oriented channel sensing. The former is to collect the application-specific source information and deliver it to the access point within some limit of distortion, while the latter is to find the vacant channels and provide spectrum access opportunities for the sensed source information. With in-depth exploration, we find that these two tasks are actually interrelated when taking into account the energy constraints. The main focus of this paper is to minimize the total power consumed by these two tasks while bounding the distortion of the application-specific source information. Firstly, we present a specific slotted sensing and transmission scheme, and establish the multi-task power consumption model. Secondly, we jointly analyze the interplay between these two sensing tasks, and then propose a proper sensing and power allocation scheme to minimize the total power consumption. Finally, Simulation results are given to validate the proposed scheme.

Connected through hyperedge HE-1 (induced by source paper "energy efficient power allocation for secure communications in large scale mimo relaying systems"):
  with members:
    - "on the secrecy outage capacity of physical layer security in large scale mimo relaying systems with imperfect csi"
    - "secure beamforming for mimo two way communications with an untrusted relay"
    - "performance analysis for physical layer security in multi antenna downlink networks with limited csi feedback"
    - "optimal relay selection for physical layer security in cooperative wireless networks"
    - "large system analysis of linear precoding in miso broadcast channels with confidential messages"
    - "energy efficient optimization for physical layer security in multi antenna downlink networks with qos guarantee"
    - "cooperative jamming for secure communications in mimo relay networks"

Connected through hyperedge HE-2 (induced by source paper "joint optimization of spectrum sensing and accessing in multiuser miso cognitive networks"):
  with members:
    - "interference aware resource control in multi antenna cognitive ad hoc networks with heterogeneous delay constraints"
    - "adaptive mode selection in multiuser miso cognitive networks with limited cooperation and feedback"
    - "multi mode transmission for the mimo broadcast channel with imperfect channel state information"
    - "exploiting multi antennas for opportunistic spectrum sharing in cognitive radio networks"
    - "eigenvalue based spectrum sensing algorithms for cognitive radio"
    - "mimo broadcast channels with finite rate feedback"

Connected through hyperedge HE-3 (induced by source paper "distributed compressed wideband sensing in cognitive radio sensor networks"):
  with members:
    - "from theory to practice sub nyquist sampling of sparse wideband analog signals"
    - "expected rip conditioning of the modulated wideband converter"

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)