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: "when mmwave communications meet network densification a scalable interference coordination perspective"
  Abstract: Millimeter-wave (mmWave) communication is envisioned to provide orders of magnitude capacity improvement. However, it is challenging to realize a sufficient link margin due to high path loss and blockages. To address this difficulty, in this paper, we explore the potential gain of ultra-densification for enhancing mmWave communications from a network-level perspective. By deploying the mmWave base stations (BSs) in an extremely dense and amorphous fashion, the access distance is reduced and the choice of serving BSs is enriched for each user, which are intuitively effective for mitigating the propagation loss and blockages. Nevertheless, co-channel interference under this model will become a performance-limiting factor. To solve this problem, we propose a large-scale channel state information (CSI)-based interference coordination approach. Note that the large-scale CSI is highly location-dependent, and can be obtained with a quite low cost. Thus, the scalability of the proposed coordination framework can be guaranteed. Particularly, using only the large-scale CSI of interference links, a coordinated frequency resource block allocation problem is formulated for maximizing the minimum achievable rate of the users, which is uncovered to be an NP-hard integer programming problem. To circumvent this difficulty, a greedy scheme with polynomial-time complexity is proposed by adopting the bisection method and linear integer programming tools. Simulation results demonstrate that the proposed coordination scheme based on large-scale CSI only can still offer substantial gains over the existing methods. Moreover, although the proposed scheme is only guaranteed to converge to a local optimum, it performs well in terms of both user fairness and system efficiency.

Connected through hyperedge HE-1 (induced by source paper "maritime coverage enhancement using uavs coordinated with hybrid satellite terrestrial networks"):
  with members:
    - "exploiting the shipping lane information for energy efficient maritime communications"
    - "hybrid satellite terrestrial communication networks for the maritime internet of things key technologies opportunities and challenges"
    - "uav communications for 5g and beyond recent advances and future trends"
    - "uav aided offloading for cellular hotspot"
    - "uav enabled radio access network multi mode communication and trajectory design"
    - "placement optimization of uav mounted mobile base stations"
    - "joint trajectory and communication design for multi uav enabled wireless networks"
    - "network formation in the sky unmanned aerial vehicles for multi hop wireless backhauling"

Connected through hyperedge HE-2 (induced by source paper "hybrid satellite terrestrial communication networks for the maritime internet of things key technologies opportunities and challenges"):
  with members:
    - "optimization of lte radio resource block allocation for maritime channels"

Connected through hyperedge HE-3 (induced by source paper "tradeoff between delay and physical layer security in wireless networks"):
  with members:
    - "secure transmission with large numbers of antennas and finite alphabet inputs"
    - "5g software defined vehicular networks"
    - "toward a tractable delay analysis in ultra dense networks"
    - "heterogeneous cellular networks with spatio temporal traffic delay analysis and scheduling"
    - "secure massive mimo transmission with an active eavesdropper"
    - "5g ultra dense cellular networks"
    - "performance laws of large heterogeneous cellular networks"
    - "cross layer scheduling for ofdma based cognitive radio systems with delay and security constraints"

Connected through hyperedge HE-4 (induced by source paper "all technologies work together for good a glance to future mobile networks"):
  with members:
    - "power domain non orthogonal multiple access noma in 5g systems potentials and challenges"
    - "capacity comparison between mimo noma and mimo oma with multiple users in a cluster"
    - "cooperation in 5g hetnets advanced spectrum access and d2d assisted communications"
    - "optimal joint power and subcarrier allocation for full duplex multicarrier non orthogonal multiple access systems"
    - "massive mimo enabled full duplex cellular networks"
    - "non orthogonal multiple access in multi cell networks theory performance and practical challenges"
    - "hybrid beamforming for massive mimo a survey"
    - "scaling up mimo opportunities and challenges with very large arrays"

Connected through hyperedge HE-5 (induced by source paper "optimum fairness for non orthogonal multiple access"):
  with members:
    - "a two phase power allocation scheme for crns employing noma"
    - "a new noma approach for fair power allocation"
    - "fairness for non orthogonal multiple access in 5g systems"

Connected through hyperedge HE-6 (induced by source paper "ultra reliable and low latency communication in mmwave enabled massive mimo networks"):
  with members:
    - "downlink cell association and load balancing for joint millimeter wave microwave cellular networks"
    - "joint in band backhauling and interference mitigation in 5g heterogeneous networks"
    - "massive mimo for next generation wireless systems"
    - "hierarchical interference mitigation for massive mimo cellular networks"
    - "millimeter wave channel modeling and cellular capacity evaluation"
    - "large system analysis of linear precoding in correlated miso broadcast channels under limited feedback"

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)