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 "single or multiple frames content delivery for robust and secure communication in energy and spectrum efficient 5g networks"):
  Abstract: This paper addresses the four enabling technologies, namely multi-user sparse code multiple access (SCMA), content caching, energy harvesting, and physical layer security for proposing an energy and spectral efficient resource allocation algorithm for the access and backhaul links in heterogeneous cellular networks. Although each of the above mentioned issues could be a topic of research, in a real situation, we would face a complicated scenario where they should be considered jointly, and hence, our target is to consider these technologies jointly in a unified framework. Moreover, we propose two novel content delivery scenarios: 1) single frame content delivery, and 2) multiple frames content delivery. In the first scenario, the requested content by each user is served over one frame. However, in the second scenario, the requested content by each user can be delivered over several frames. We formulate the resource allocation for the proposed scenarios as optimization problems where our main aim is to maximize the energy efficiency of access links subject to the transmit power constraints of access and backhaul links, caching and energy harvesting constraints, and SCMA codebook allocation limitations. Due to the practical limitations, we assume that the channel state information values between eavesdroppers and base stations are uncertain and design the network for the worst case scenario. Since the corresponding optimization problems are mixed integer non-linear and nonconvex programming, NP-hard, and intractable, we propose an iterative algorithm based on the well-known alternative and successive convex approximation methods. In addition, the proposed algorithms are studied from the computational complexity, convergence, and performance perspectives.

Includes members:
  Member "cost effective cache deployment in mobile heterogeneous networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "aoi delay tradeoff in mobile edge caching with freshness aware content refreshing")
  Member "fairness and transmission aware caching and delivery policies in ofdma based hetnets":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "cooperative multi bitrate video caching and transcoding in multicarrier noma assisted heterogeneous virtualized mec networks")
  Member "a new look at physical layer security caching and wireless energy harvesting for heterogeneous ultra dense networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "secrecy outage analysis of non orthogonal spectrum sharing for heterogeneous cellular networks")
  Member "limited feedback scheme for device to device communications in 5g cellular networks with reliability and cellular secrecy outage constraints":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "energy efficiency optimization for secure transmission in miso cognitive radio network with energy harvesting")
  Member "joint backhaul access analysis of full duplex self backhauling heterogeneous networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "millimeter wave integrated access and backhaul in 5g performance analysis and design insights")
  Member "green ofdma resource allocation in cache enabled cran":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "cooperative multi bitrate video caching and transcoding in multicarrier noma assisted heterogeneous virtualized mec networks")
  Member "joint hybrid backhaul and access links design in cloud radio access networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "computation offloading for iot in c ran optimization and deep learning")
  Member "exploiting device to device communications in joint scheduling of access and backhaul for mmwave small cells":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "sub channel allocation for device to device underlaying full duplex mmwave small cells using coalition formation games")

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)