human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "resource optimization and power allocation in in band full duplex ibfd enabled non orthogonal multiple access networks"):
  Abstract: In this paper, the problem of uplink (UL) and downlink (DL) resource optimization, mode selection and power allocation is studied for wireless cellular networks under the assumption of in-band full duplex (IBFD) base stations, non-orthogonal multiple access (NOMA) operation, and queue stability constraints. The problem is formulated as a network utility maximization problem for which a Lyapunov framework is used to decompose it into two disjoint subproblems of auxiliary variable selection and rate maximization. The latter is further decoupled into a user association and mode selection (UAMS) problem and a UL/DL power optimization (UDPO) problem that are solved concurrently. The UAMS problem is modeled as a many-to-one matching problem to associate users to small cell base stations (SBSs) and select transmission mode (half/full-duplex and orthogonal/non-orthogonal multiple access), and an algorithm is proposed to solve the problem converging to a pairwise stable matching. Subsequently, the UDPO problem is formulated as a sequence of convex problems and is solved using the concave-convex procedure. Simulation results demonstrate the effectiveness of the proposed scheme to allocate UL and DL power levels after dynamically selecting the operating mode and the served users, under different traffic intensity conditions, network density, and self-interference cancellation capability. The proposed scheme is shown to achieve up to 63% and 73% of gains in UL and DL packet throughput, and 21% and 17% in UL and DL cell edge throughput, respectively, compared to existing baseline schemes.

Includes members:
  Member "user selection and power allocation in full duplex multicell networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "optimal centralized dynamic time division duplex")
  Member "sub channel assignment power allocation and user scheduling for non orthogonal multiple access networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "resource allocation in intelligent reflecting surface assisted noma systems")
  Member "performance evaluation of user scheduling for full duplex small cells in ultra dense networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "low complexity full duplex mimo novel analog cancellation architectures and transceiver design")
  Member "a survey of downlink non orthogonal multiple access for 5g wireless communication networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "random access for massive machine type communications")
  Member "optimal joint power and subcarrier allocation for full duplex multicarrier non orthogonal multiple access systems":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "joint trajectory and resource allocation design for energy efficient secure uav communication systems")
  Member "resource allocation in ofdma networks with half duplex and imperfect full duplex users":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "multi objective optimization for energy and spectral efficiency tradeoff in in band full duplex ibfd communication")
  Member "dynamic user clustering and power allocation for uplink and downlink non orthogonal multiple access noma systems":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "non orthogonal multiple access with orthogonal time frequency space signal transmission")
  Member "matching theory for future wireless networks fundamentals and applications":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "multi agent meta reinforcement learning for self powered and sustainable edge computing systems")

Question: Please tell me which class the source paper 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)