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 resource allocation for full duplex radio distributed antenna networks"
  Abstract: In this paper, we study the resource allocation algorithm design for distributed antenna multiuser networks with full-duplex (FD) radio base stations (BSs) which enable simultaneous uplink and downlink communications. The considered resource allocation algorithm design is formulated as an optimization problem taking into account the antenna circuit power consumption of the BSs and the quality of service (QoS) requirements of both uplink and downlink users. We minimize the total network power consumption by jointly optimizing the downlink beamformer, the uplink transmit power, and the antenna selection. To overcome the intractability of the resulting problem, we reformulate it as an optimization problem with decoupled binary selection variables and non-convex constraints. The reformulated problem facilitates the design of an iterative resource allocation algorithm which obtains an optimal solution based on the generalized Bender's decomposition (GBD) and serves as a benchmark scheme. Furthermore, to strike a balance between computational complexity and system performance, a suboptimal algorithm with polynomial time complexity is proposed. Simulation results illustrate that the proposed GBD based iterative algorithm converges to the global optimal solution and the suboptimal algorithm achieves a close-to-optimal performance. Our results also demonstrate the trade-off between power efficiency and the number of active transmit antennas when the circuit power consumption is taken into account. In particular, activating an exceedingly large number of antennas may not be a power efficient solution for reducing the total system power consumption. In addition, our results reveal that FD systems facilitate significant power savings compared to traditional half-duplex systems, despite the non-negligible self-interference.

Connected through hyperedge HE-1 (induced by source paper "joint trajectory and resource allocation design for energy efficient secure uav communication systems"):
  with members:
    - "energy efficient resource allocation for secure uav communication systems"
    - "power efficient deployment of uavs as relays"
    - "multi beam noma for hybrid mmwave systems"
    - "secrecy energy efficiency maximization for uav enabled mobile relaying"
    - "optimal 3d trajectory design and resource allocation for solar powered uav communication systems"
    - "securing uav communications via joint trajectory and power control"
    - "energy minimization for wireless communication with rotary wing uav"
    - "the sky is not the limit lte for unmanned aerial vehicles"

Connected through hyperedge HE-2 (induced by source paper "energy efficiency maximization via joint sub carrier assignment and power control for ofdma full duplex networks"):
  with members:
    - "energy efficient power control a look at 5g wireless technologies"
    - "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"
    - "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-3 (induced by source paper "rethinking secure precoding via interference exploitation a smart eavesdropper perspective"):
  with members:
    - "quantized constant envelope precoding with psk and qam signaling"
    - "linear precoding of data and artificial noise in secure massive mimo systems"
    - "directional modulation via symbol level precoding a way to enhance security"
    - "constructive interference based secure precoding a new dimension in physical layer security"
    - "exploiting known interference as green signal power for downlink beamforming optimization"
    - "on secrecy rate analysis of mimo wiretap channels driven by finite alphabet input"
    - "outage constrained robust transmit optimization for multiuser miso downlinks tractable approximations by conic optimization"
    - "secure transmission with artificial noise over fading channels achievable rate and optimal power allocation"

Connected through hyperedge HE-4 (induced by source paper "robust trajectory and resource allocation design for secure uav aided communications"):
  with members:
    - "optimal 3d trajectory design and resource allocation for solar powered uav communication systems"
    - "joint beamforming and power allocation in downlink noma multiuser mimo networks"
    - "robust trajectory and transmit power design for secure uav communications"
    - "secure uav communication with cooperative jamming and trajectory control"
    - "securing uav communications via trajectory optimization"
    - "principles of physical layer security in multiuser wireless networks a survey"

Connected through hyperedge HE-5 (induced by source paper "resource allocation for multi user downlink urllc ofdma systems"):
  with members:
    - "ultra reliable and low latency wireless communication tail risk and scale"
    - "coding in the finite blocklength regime bounds based on laplace integrals and their asymptotic approximations"
    - "optimal joint power and subcarrier allocation for full duplex multicarrier non orthogonal multiple access systems"
    - "energy efficient packet scheduling with finite blocklength codes convexity analysis and efficient algorithms"
    - "ultra reliable communication in 5g wireless systems"

Connected through hyperedge HE-6 (induced by source paper "multi objective optimization for energy and spectral efficiency tradeoff in in band full duplex ibfd communication"):
  with members:
    - "optimal joint power and subcarrier allocation for full duplex multicarrier non orthogonal multiple access systems"
    - "resource allocation in ofdma networks with half duplex and imperfect full duplex users"
    - "multi objective resource allocation in full duplex swipt systems"
    - "throughput analysis for full duplex wireless networks with imperfect self interference cancellation"

Connected through hyperedge HE-7 (induced by source paper "joint user association and resource allocation in the uplink of heterogeneous networks"):
  with members:
    - "multiple antenna technologies for beyond 5g"
    - "user transmit power minimization through uplink resource allocation and user association in hetnets"
    - "energy efficient user association and power allocation in millimeter wave based ultra dense networks with energy harvesting base stations"

Connected through hyperedge HE-8 (induced by source paper "optimal 3d trajectory design and resource allocation for solar powered uav communication systems"):
  with members:
    - "fundamental tradeoffs in communication and trajectory design for uav enabled wireless network"
    - "capacity characterization of uav enabled two user broadcast channel"
    - "resource allocation for solar powered uav communication systems"
    - "energy minimization for wireless communication with rotary wing uav"
    - "common throughput maximization in uav enabled ofdma systems with delay consideration"
    - "optimal resource allocation for power efficient mc noma with imperfect channel state information"
    - "statistical modeling of fso fronthaul channel for drone based networks"
    - "joint trajectory and communication design for multi uav enabled wireless 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)