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: "cellular interference alignment omni directional antennas and asymmetric configurations"
  Abstract: Although interference alignment (IA) can theoretically achieve the optimal degrees of freedom (DoFs) in the $K$-user Gaussian interference channel, its direct application comes at the prohibitive cost of precoding over exponentially-many signaling dimensions. On the other hand, it is known that practical "one-shot" IA precoding (i.e., linear schemes without symbol expansion) provides a vanishing DoFs gain in large fully-connected networks with generic channel coefficients. In our previous work, we introduced the concept of "Cellular IA" for a network topology induced by hexagonal cells with sectors and nearest-neighbor interference. Assuming that neighboring sectors can exchange decoded messages (and not received signal samples) in the uplink, we showed that linear one-shot IA precoding over $M$ transmit/receive antennas can achieve the optimal $M/2$ DoFs per user. In this paper we extend this framework to networks with omni-directional (non-sectorized) cells and consider the practical scenario where users have $2$ antennas, and base-stations have $2$, $3$ or $4$ antennas. In particular, we provide linear one-shot IA schemes for the $2\times 2$, $2\times3$ and $2\times 4$ cases, and show the achievability of $3/4$, $1$ and $7/6$ DoFs per user, respectively. DoFs converses for one-shot schemes require the solution of a discrete optimization problem over a number of variables that grows with the network size. We develop a new approach to transform such challenging optimization problem into a tractable linear program (LP) with significantly fewer variables. This approach is used to show that the achievable $3/4$ DoFs per user are indeed optimal for a large (extended) cellular network with $2\times 2$ links.

Connected through hyperedge HE-1 (induced by source paper "improved converses and gap results for coded caching"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "centralized caching and delivery of correlated contents over a gaussian broadcast channel"
    - "benefits of cache assignment on degraded broadcast channels"
    - "cache aided content delivery over erasure broadcast channels"
    - "characterizing the rate memory tradeoff in cache networks within a factor of 2"
    - "physical layer schemes for wireless coded caching"
    - "rate memory trade off for the two user broadcast caching network with correlated sources"
    - "noisy broadcast networks with receiver caching"

Connected through hyperedge HE-2 (induced by source paper "cellular interference alignment"):
  with members:
    - "feasibility of interference alignment for the mimo interference channel"
    - "real interference alignment exploiting the potential of single antenna systems"
    - "interference channels with half duplex source cooperation"
    - "cognitive wyner networks with clustered decoding"
    - "flexible backhaul design and degrees of freedom for linear interference networks"
    - "on the optimality of treating interference as noise"
    - "degrees of freedom of mimo cellular networks decomposition and linear beamforming design"
    - "degrees of freedom dof of locally connected interference channels with coordinated multi point comp transmission"

Connected through hyperedge HE-3 (induced by source paper "interference alignment for multicell multiuser mimo uplink channels"):
  with members:
    - "degrees of freedom of full duplex multiantenna cellular networks"
    - "real interference alignment exploiting the potential of single antenna systems"
    - "degrees of freedom of uplink downlink multiantenna cellular networks"
    - "cellular interference alignment"
    - "on the feasibility of linear interference alignment for mimo interference broadcast channels with constant coefficients"
    - "genie chain and degrees of freedom of symmetric mimo interference broadcast channels"
    - "degrees of freedom of mimo cellular networks decomposition and linear beamforming design"
    - "interference alignment for partially connected mimo cellular networks"

Connected through hyperedge HE-4 (induced by source paper "on uplink downlink duality for cellular ia"):
  with members:
    - "cognitive wyner networks with clustered decoding"
    - "flexible backhaul design and degrees of freedom for linear interference networks"
    - "cellular interference alignment"
    - "degrees of freedom dof of locally connected interference channels with coordinated multi point comp transmission"
    - "compute and forward strategies for cooperative distributed antenna systems"
    - "wireless network information flow a deterministic approach"
    - "approximately optimal wireless broadcasting"
    - "joint source channel coding with side information using hybrid digital analog codes"

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)