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 feasibility of interference alignment in mimo interference networks"
  Abstract: We explore the feasibility of interference alignment in signal vector space-based only on beamforming-for K-user MIMO interference channels. Our main contribution is to relate the feasibility issue to the problem of determining the solvability of a multivariate polynomial system which is considered extensively in algebraic geometry. It is well known, e.g., from Bezout's theorem, that generic polynomial systems are solvable if and only if the number of equations does not exceed the number of variables. Following this intuition, we classify signal space interference alignment problems as either proper or improper based on the number of equations and variables. Rigorous connections between feasible and proper systems are made through Bernshtein's theorem for the case where each transmitter uses only one beamforming vector. The multibeam case introduces dependencies among the coefficients of a polynomial system so that the system is no longer generic in the sense required by both theorems. In this case, we show that the connection between feasible and proper systems can be further strengthened (since the equivalency between feasible and proper systems does not always hold) by including standard information theoretic outer bounds in the feasibility analysis.

Connected through hyperedge HE-1 (induced by source paper "joint optimization of signal design and resource allocation in wireless d2d edge computing"):
  with members:
    - "joint task assignment and resource allocation for d2d enabled mobile edge computing"
    - "joint computation and communication cooperation for energy efficient mobile edge computing"
    - "decentralized computation offloading for multi user mobile edge computing a deep reinforcement learning approach"
    - "joint offloading and computing optimization in wireless powered mobile edge computing systems"
    - "multiuser resource allocation for mobile edge computation offloading"
    - "joint optimization of radio and computational resources for multicell mobile edge computing"
    - "the interplay between massive mimo and underlaid d2d networking"
    - "on feasibility of interference alignment in mimo interference networks"

Connected through hyperedge HE-2 (induced by source paper "noma an information theoretic perspective"):
  with members:
    - "rate splitting multiple access for downlink communication systems bridging generalizing and outperforming sdma and noma"
    - "power domain non orthogonal multiple access noma in 5g systems potentials and challenges"
    - "optimal beamforming for gaussian mimo wiretap channels with two transmit antennas"
    - "approximate capacity region of the mac ic mac"
    - "gsvd based precoding in mimo systems with integrated services"
    - "non orthogonal multiple access in multi cell networks theory performance and practical challenges"
    - "the application of mimo to non orthogonal multiple access"
    - "fairness for non orthogonal multiple access in 5g systems"

Connected through hyperedge HE-3 (induced by source paper "sum rate maximization of multicell miso networks with limited information exchange"):
  with members:
    - "a deep learning framework for optimization of miso downlink beamforming"
    - "opportunistic downlink interference alignment for multi cell mimo networks"
    - "coordinated regularized zero forcing precoding for multicell miso systems with limited feedback"
    - "joint transmission with limited backhaul connectivity"
    - "analysis of massive mimo enabled downlink wireless backhauling for full duplex small cells"
    - "sinr and throughput scaling in ultradense urban cellular networks"
    - "on the spatial degrees of freedom of multicell and multiuser mimo channels"
    - "downlink interference alignment"

Connected through hyperedge HE-4 (induced by source paper "the interference channel revisited aligning interference by adjusting receive antenna separation"):
  with members:
    - "an overview of signal processing techniques for millimeter wave mimo systems"
    - "on media based modulation using rf mirrors"
    - "feasibility of interference alignment for the mimo interference channel"
    - "real interference alignment exploiting the potential of single antenna systems"
    - "performance analysis and optimization for interference alignment over mimo interference channels with limited feedback"
    - "five disruptive technology directions for 5g"
    - "csi feedback reduction for mimo interference alignment"
    - "the approximate sum capacity of the symmetric gaussian k user interference channel"

Connected through hyperedge HE-5 (induced by source paper "on the feasibility of interference alignment in compounded mimo broadcast channels with antenna correlation and mixed user classes"):
  with members:
    - "error performance of wireless powered cognitive relay networks with interference alignment"
    - "on the capacity of wireless powered cognitive relay network with interference alignment"
    - "feasibility of interference alignment for the mimo interference channel"
    - "bounds on eigenvalues of a spatial correlation matrix"
    - "mimo interference alignment over correlated channels with imperfect csi"
    - "why does the kronecker model result in misleading capacity estimates"
    - "interference alignment with analog channel state feedback"
    - "on feasibility of interference alignment in mimo interference networks"

Connected through hyperedge HE-6 (induced by source paper "joint optimization of power splitting and allocation for swipt in interference alignment networks"):
  with members:
    - "interactive joint transfer of energy and information"
    - "simultaneous information and power transfer for broadband wireless systems"
    - "wireless information and power transfer a dynamic power splitting approach"
    - "guiding blind transmitters degrees of freedom optimal interference alignment using relays"
    - "adaptive interference alignment with csi uncertainty"
    - "enabling wireless power transfer in cellular networks architecture modeling and deployment"
    - "robust beamforming for wireless information and power transmission"
    - "transmission with energy harvesting nodes in fading wireless channels optimal policies"

Connected through hyperedge HE-7 (induced by source paper "robust transceiver design based on interference alignment for multi user multi cell mimo networks with channel uncertainty"):
  with members:
    - "two stage beamformer design for massive mimo downlink by trace quotient formulation"
    - "exploiting known interference as green signal power for downlink beamforming optimization"
    - "optimal multiuser transmit beamforming a difficult problem with a simple solution structure"
    - "rethinking the role of interference in wireless networks"
    - "two tier precoding for fdd multi cell massive mimo time varying interference networks"
    - "spatially sparse precoding in millimeter wave mimo systems"
    - "grouping based interference alignment with ia cell assignment in multi cell mimo mac under limited feedback"
    - "multi cell random beamforming achievable rate and degrees of freedom region"

Connected through hyperedge HE-8 (induced by source paper "dynamic interference steering in heterogeneous cellular networks"):
  with members:
    - "interference steering to manage interference"
    - "instantaneous relaying optimal strategies and interference neutralization"
    - "downlink interference alignment"
    - "on feasibility of interference alignment in mimo interference networks"
    - "transmission techniques for relay interference 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)