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: "iterative spectrum shaping with opportunistic multiuser detection"
  Abstract: This paper studies a new decentralized resource allocation strategy, named iterative spectrum shaping (ISS), for the multi-carrier-based multiuser communication system, where two coexisting users independently and sequentially update transmit power allocations over parallel subcarriers to maximize their individual transmit rates. Unlike the conventional iterative water-filling (IWF) algorithm that applies the single-user detection (SD) at each user's receiver by treating the interference from the other user as additional noise, the proposed ISS algorithm applies multiuser detection techniques to decode both the desired user's and interference user's messages if it is feasible, thus termed as opportunistic multiuser detection (OMD). Two encoding methods are considered for ISS: One is carrier independent encoding where independent codewords are modulated by different subcarriers for which different decoding methods can be applied; the other is carrier joint encoding where a single codeword is modulated by all the subcarriers for which a single decoder is applied. For each encoding method, this paper presents the associated optimal user power and rate allocation strategy at each iteration of transmit adaptation. It is shown that under many circumstances the proposed ISS algorithm employing OMD is able to achieve substantial throughput gains over the conventional IWF algorithm employing SD for decentralized spectrum sharing. Applications of ISS in cognitive radio communication systems are also discussed.

Connected through hyperedge HE-1 (induced by source paper "cognitive wireless powered network spectrum sharing models and throughput maximization"):
  with members:
    - "wireless powered communication opportunities and challenges"
    - "throughput optimization for massive mimo systems powered by wireless energy transfer"
    - "collaborative wireless energy and information transfer in interference channel"
    - "multiuser mimo wireless energy transfer with coexisting opportunistic communication"
    - "spatial throughput maximization of wireless powered communication networks"
    - "harvest then cooperate wireless powered cooperative communications"
    - "user cooperation in wireless powered communication networks"
    - "optimal resource allocation in full duplex wireless powered communication network"

Connected through hyperedge HE-2 (induced by source paper "zero outage cellular downlink with fixed rate d2d underlay"):
  with members:
    - "a survey on device to device communication in cellular networks"
    - "low rate machine type communication via wireless device to device d2d links"
    - "five disruptive technology directions for 5g"
    - "random deployment of data collectors for serving randomly located sensors"
    - "exploiting opportunistic multiuser detection in decentralized multiuser mimo systems"

Connected through hyperedge HE-3 (induced by source paper "dynamic resource allocation in cognitive radio networks"):
  with members:
    - "beamforming and rate allocation in miso cognitive radio networks"
    - "on the relationship between the multi antenna secrecy communications and cognitive radio communications"
    - "on ergodic sum capacity of fading cognitive multiple access and broadcast channels"
    - "on gaussian mimo bc mac duality with multiple transmit covariance constraints"
    - "exploiting multi antennas for opportunistic spectrum sharing in cognitive radio networks"
    - "competitive design of multiuser mimo systems based on game theory a unified view"
    - "cognitive mimo radio"
    - "cognitive beamforming made practical effective interference channel and learning throughput tradeoff"

Connected through hyperedge HE-4 (induced by source paper "on active learning and supervised transmission of spectrum sharing based cognitive radios by exploiting hidden primary radio feedback"):
  with members:
    - "dynamic resource allocation in cognitive radio networks"
    - "optimal power allocation for fading channels in cognitive radio networks ergodic capacity and outage capacity"
    - "exploiting multi antennas for opportunistic spectrum sharing in cognitive radio networks"
    - "cognitive beamforming made practical effective interference channel and learning throughput tradeoff"
    - "on peak versus average interference power constraints for protecting primary users in cognitive radio networks"
    - "femtocell networks a survey"
    - "cognitive radio an information theoretic perspective"

Connected through hyperedge HE-5 (induced by source paper "exploiting opportunistic multiuser detection in decentralized multiuser mimo systems"):
  with members:
    - "dynamic resource allocation in cognitive radio networks"
    - "exploiting multi antennas for opportunistic spectrum sharing in cognitive radio networks"
    - "competitive design of multiuser mimo systems based on game theory a unified view"
    - "rethinking information theory for mobile ad hoc networks"
    - "gaussian interference channel capacity to within one bit"
    - "interference alignment and the degrees of freedom for the k user interference channel"

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)