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: "on peak versus average interference power constraints for protecting primary users in cognitive radio networks"
  Abstract: This paper considers spectrum sharing for wireless communication between a cognitive radio (CR) link and a primary radio (PR) link. It is assumed that the CR protects the PR transmission by applying the so-called interference-temperature constraint, whereby the CR is allowed to transmit regardless of the PR's on/off status provided that the resultant interference power level at the PR receiver is kept below some predefined threshold. For the fading PR and CR channels, the interference-power constraint at the PR receiver is usually one of the following two types: One is to regulate the average interference power (AIP) over all the fading states, while the other is to limit the peak interference power (PIP) at each fading state. From the CR's perspective, given the same average and peak power threshold, the AIP constraint is more favorable than the PIP counterpart because of its more flexibility for dynamically allocating transmit powers over the fading states. On the contrary, from the perspective of protecting the PR, the more restrictive PIP constraint appears at a first glance to be a better option than the AIP. Some surprisingly, this paper shows that in terms of various forms of capacity limits achievable for the PR fading channel, e.g., the ergodic and outage capacities, the AIP constraint is also superior over the PIP. This result is based upon an interesting interference diversity phenomenon, i.e., randomized interference powers over the fading states in the AIP case are more advantageous over deterministic ones in the PIP case for minimizing the resultant PR capacity losses. Therefore, the AIP constraint results in larger fading channel capacities than the PIP for both the CR and PR transmissions.

Connected through hyperedge HE-1 (induced by source paper "transmit power policy and ergodic multicast rate analysis of cognitive radio networks in generalized fading"):
  with members:
    - "asymptotic performance analysis of generalized user selection for interference limited multiuser secondary networks"
    - "asymptotic maximal order statistic for sir in κ μ shadowed fading"
    - "mimo underlay cognitive radio optimized power allocation effective number of transmit antennas and harvest transmit tradeoff"
    - "error vector magnitude analysis in generalized fading with co channel interference"
    - "outage probability and rate for kappa mu shadowed fading in interference limited scenario"
    - "coverage analysis in downlink poisson cellular network with kappa mu shadowed fading"
    - "relay selection improves the security reliability trade off in cognitive radio systems"
    - "spectrum sharing multi hop cooperative relaying performance analysis using extreme value theory"

Connected through hyperedge HE-2 (induced by source paper "an efficient precoder design for multiuser mimo cognitive radio networks with interference constraints"):
  with members:
    - "collaborative relay beamforming for secrecy"
    - "beamforming and rate allocation in miso cognitive radio networks"
    - "cooperative multi cell block diagonalization with per base station power constraints"
    - "exploiting multi antennas for opportunistic spectrum sharing in cognitive radio networks"
    - "weighted sum rate optimization for cognitive radio mimo broadcast channels"
    - "capacity limits of cognitive radio with distributed and dynamic spectral activity"

Connected through hyperedge HE-3 (induced by source paper "power and rate adaptation improves the effective capacity of c ran for nakagami m fading channels"):
  with members:
    - "joint precoding and rrh selection for user centric green mimo c ran"
    - "joint millimeter wave fronthaul and ofdma resource allocation in ultra dense cran"
    - "what will 5g be"
    - "ergodic capacity analysis of remote radio head associations in cloud radio access networks"
    - "group sparse beamforming for green cloud ran"

Connected through hyperedge HE-4 (induced by source paper "optimal power allocation and active interference mitigation for spatial multiplexed mimo cognitive systems"):
  with members:
    - "green cognitive relaying opportunistically switching between data transmission and energy harvesting"
    - "optimal power control in cognitive mimo systems with limited feedback"
    - "massive mimo for next generation wireless systems"
    - "femtocell networks a survey"

Connected through hyperedge HE-5 (induced by source paper "modeling and analysis of cooperative relaying in spectrum sharing cellular systems"):
  with members:
    - "a tractable approach to coverage and rate in cellular networks"
    - "femtocell networks a survey"

Connected through hyperedge HE-6 (induced by source paper "large system analysis of cognitive radio network via partially projected regularized zero forcing precoding"):
  with members:
    - "super resolution sparse mimo ofdm channel estimation based on spatial and temporal correlations"
    - "joint beamforming and power control in coordinated multicell max min duality effective network and large system transition"
    - "multi pair amplify and forward relaying with very large antenna arrays"
    - "large system analysis of cooperative multi cell downlink transmission via regularized channel inversion with imperfect csit"
    - "optimal power allocation and user loading for multiuser miso channels with regularized channel inversion"
    - "on capacity of large scale mimo multiple access channels with distributed sets of correlated antennas"
    - "large system analysis of linear precoding in miso broadcast channels with confidential messages"
    - "message passing algorithm for distributed downlink regularized zero forcing beamforming with cooperative base stations"

Connected through hyperedge HE-7 (induced by source paper "transmit power minimization in small cell networks under time average qos constraints"):
  with members:
    - "open vs closed access femtocells in the uplink"
    - "dynamic resource allocation in cognitive radio networks"
    - "femto macro cellular interference control with subband scheduling and interference cancelation"
    - "stability and delay of zero forcing sdma with limited feedback"
    - "training and feedback optimization for multiuser mimo downlink"
    - "delay optimal power and precoder adaptation for multi stream mimo systems"

Connected through hyperedge HE-8 (induced by source paper "coordinated shared spectrum precoding with distributed csit"):
  with members:
    - "large system analysis of cognitive radio network via partially projected regularized zero forcing precoding"
    - "proof of the outage probability conjecture for miso channels"
    - "exploiting multi antennas for opportunistic spectrum sharing in cognitive radio 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)