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: "a distributed approach to interference alignment in ofdm based two tiered networks"
  Abstract: In this paper, we consider a two-tiered network and focus on the coexistence between two tiers at the physical layer. We target our efforts on a Long-Term Evolution Advanced (LTE-A) orthogonal frequency-division multiple-access (OFDMA) macrocell sharing the spectrum with a randomly deployed second tier of small cells. In such networks, high levels of cochannel interference between the macrocell base station and the small-cell base station (SBS) may largely limit the potential spectral efficiency gains provided by frequency reuse 1. To address this issue, we propose a novel cognitive interference alignment-based scheme to protect the macrocell from cross-tier interference while mitigating the co-tier interference in the second tier. Remarkably, only local channel state information (CSI) and autonomous operations are required in the second tier, resulting in a completely self-organizing approach for the SBSs. The optimal precoder that maximizes the spectral efficiency of the link between each SBS and its served user equipment is found by means of a distributed one-shot strategy. Numerical findings reveal nonnegligible spectral efficiency enhancements with respect to traditional time division multiple access (TDMA) approaches at any signal-to-noise ratio (SNR) regime. Additionally, the proposed technique exhibits significant robustness to channel estimation errors, achieving remarkable results for the imperfect CSI case and yielding consistent performance enhancements to the network.

Connected through hyperedge HE-1 (induced by source paper "interference alignment improves the capacity of ofdm systems"):
  with members:
    - "limited feedback based interference alignment for interfering multi access channels"
    - "exploiting spatial interference alignment and opportunistic scheduling in the downlink of interference limited systems"
    - "interference alignment with incomplete csit sharing"
    - "on feasibility of interference alignment in mimo interference networks"
    - "on feasibility of interference alignment in mimo interference networks"

Connected through hyperedge HE-2 (induced by source paper "suppressing alignment joint papr and out of band power leakage reduction for ofdm based systems"):
  with members:
    - "power allocation and time domain artificial noise design for wiretap ofdm with discrete inputs"

Connected through hyperedge HE-3 (induced by source paper "energy recycling full duplex radios for next generation networks"):
  with members:
    - "all digital self interference cancellation technique for full duplex systems"
    - "multipair full duplex relaying with massive arrays and linear processing"
    - "reference receiver based digital self interference cancellation in mimo full duplex transceivers"
    - "low complexity end to end performance optimization in mimo full duplex relay systems"
    - "full duplex wireless powered relay with self energy recycling"
    - "widely linear digital self interference cancellation in direct conversion full duplex transceiver"
    - "in band full duplex wireless challenges and opportunities"
    - "wireless information and power transfer a dynamic power splitting approach"

Connected through hyperedge HE-4 (induced by source paper "improving macrocell small cell coexistence through adaptive interference draining"):
  with members:
    - "enhanced intercell interference coordination challenges in heterogeneous networks"
    - "exploiting interference alignment in multi cell cooperative ofdma resource allocation"
    - "contract based cooperative spectrum sharing"
    - "cooperative algorithms for mimo interference channels"
    - "on feasibility of interference alignment in mimo interference networks"
    - "downlink interference alignment"
    - "performance of interference alignment in clustered wireless ad hoc networks"
    - "from spectrum pooling to space pooling opportunistic interference alignment in mimo cognitive 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)