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: "opportunistic relaying in wireless networks"
  Abstract: Relay networks having n source-to-destination pairs and m half-duplex relays, all operating in the same frequency band and in the presence of block fading, are analyzed. This setup has attracted significant attention, and several relaying protocols have been reported in the literature. However, most of the proposed solutions require either centrally coordinated scheduling or detailed channel state information (CSI) at the transmitter side. Here, an opportunistic relaying scheme is proposed that alleviates these limitations, without sacrificing the system throughput scaling in the regime of large n. The scheme entails a two-hop communication protocol, in which sources communicate with destinations only through half-duplex relays. All nodes operate in a completely distributed fashion, with no cooperation. The key idea is to schedule at each hop only a subset of nodes that can benefit from multiuser diversity. To select the source and destination nodes for each hop, CSI is required at receivers (relays for the first hop, and destination nodes for the second hop), and an index-valued CSI feedback at the transmitters. For the case when n is large and m is fixed, it is shown that the proposed scheme achieves a system throughput of m/2 bits/s/Hz. In contrast, the information-theoretic upper bound of (m/2) log log n bits/s/Hz is achievable only with more demanding CSI assumptions and cooperation between the relays. Furthermore, it is shown that, under the condition that the product of block duration and system bandwidth scales faster than log n log log n, the achievable throughput of the proposed scheme scales as Theta (log n). Notably, this is proven to be the optimal throughput scaling even if centralized scheduling is allowed, thus proving the optimality of the proposed scheme in the scaling law sense. Simulation results indicate a rather fast convergence to the asymptotic limits with the system's size, demonstrating the practical importance of the scaling results.

Connected through hyperedge HE-1 (induced by source paper "multi stream opportunistic network decoupling relay selection and interference management"):
  with members:
    - "opportunistic downlink interference alignment for multi cell mimo networks"
    - "multi cell aware opportunistic random access for machine type communications"
    - "real interference alignment exploiting the potential of single antenna systems"
    - "advanced interference management technique potentials and limitations"
    - "parallel opportunistic routing in wireless networks"
    - "opportunistic interference alignment for mimo interfering multiple access channels"
    - "multi cell random beamforming achievable rate and degrees of freedom region"
    - "degrees of freedom of the k user m times n mimo interference channel"

Connected through hyperedge HE-2 (induced by source paper "opportunistic network decoupling with virtual full duplex operation in multi source interfering relay networks"):
  with members:
    - "on the degrees of freedom of the large scale interfering two way relay network"
    - "codebook based opportunistic interference alignment"
    - "real interference alignment exploiting the potential of single antenna systems"
    - "opportunistic downlink interference alignment"
    - "parallel opportunistic routing in wireless networks"
    - "opportunistic interference alignment for mimo interfering multiple access channels"
    - "degrees of freedom of two hop wireless networks everyone gets the entire cake"
    - "opportunistic interference mitigation achieves optimal degrees of freedom in wireless multi cell uplink networks"

Connected through hyperedge HE-3 (induced by source paper "achievable rates for the fading half duplex single relay selection network using buffer aided relaying"):
  with members:
    - "achievable rate region of the bidirectional buffer aided relay channel with block fading"
    - "buffer aided relaying with adaptive link selection"
    - "buffer aided relaying with adaptive link selection fixed and mixed rate transmission"
    - "relay selection for simultaneous information transmission and wireless energy transfer a tradeoff perspective"
    - "optimal timer based selection schemes"
    - "a simple cooperative diversity method based on network path selection"

Connected through hyperedge HE-4 (induced by source paper "parallel opportunistic routing in wireless networks"):
  with members:
    - "on capacity scaling in arbitrary wireless networks"
    - "opportunistic spatial orthogonalization and its application in fading cognitive radio networks"
    - "throughput scaling laws for wireless networks with fading channels"
    - "the effect of fading channel inversion and threshold scheduling on ad hoc networks"
    - "hierarchical cooperation achieves optimal capacity scaling in ad hoc networks"

Connected through hyperedge HE-5 (induced by source paper "caching gain in wireless networks with fading a multi user diversity perspective"):
  with members:
    - "optimal throughput outage trade off in wireless one hop caching networks"
    - "decentralized coded caching attains order optimal memory rate tradeoff"
    - "wireless device to device communications with distributed caching"
    - "one hop throughput of wireless networks with random connections"
    - "throughput scaling of wireless networks with random connections"

Connected through hyperedge HE-6 (induced by source paper "throughput of large one hop wireless networks with general fading"):
  with members:
    - "one hop throughput of wireless networks with random connections"
    - "throughput scaling laws for wireless networks with fading channels"
    - "hierarchical cooperation achieves optimal capacity scaling in ad hoc networks"

Connected through hyperedge HE-7 (induced by source paper "on the impact of relay side channel state information on opportunistic relaying"):
  with members:
    - "on the broadcast latency in finite cooperative wireless networks"
    - "a simple cooperative diversity method based on network path selection"

Connected through hyperedge HE-8 (induced by source paper "opportunistic interference mitigation achieves optimal degrees of freedom in wireless multi cell uplink networks"):
  with members:
    - "real interference alignment exploiting the potential of single antenna systems"
    - "parallel opportunistic routing in wireless networks"
    - "interference alignment with limited feedback on two cell interfering two user mimo mac"
    - "from spectrum pooling to space pooling opportunistic interference alignment in mimo cognitive networks"
    - "ergodic interference alignment"
    - "opportunistic spatial orthogonalization and its application in fading cognitive radio networks"
    - "exploiting opportunistic multiuser detection in decentralized multiuser mimo systems"
    - "opportunistic interference alignment in mimo interference channels"

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)