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: "parallel and distributed methods for nonconvex optimization part ii applications"
  Abstract: In Part I of this paper, we proposed and analyzed a novel algorithmic framework for the minimization of a nonconvex (smooth) objective function, subject to nonconvex constraints, based on inner convex approximations. This Part II is devoted to the application of the framework to some resource allocation problems in communication networks. In particular, we consider two non-trivial case-study applications, namely: (generalizations of) i) the rate profile maximization in MIMO interference broadcast networks; and the ii) the max-min fair multicast multigroup beamforming problem in a multi-cell environment. We develop a new class of algorithms enjoying the following distinctive features: i) they are \emph{distributed} across the base stations (with limited signaling) and lead to subproblems whose solutions are computable in closed form; and ii) differently from current relaxation-based schemes (e.g., semidefinite relaxation), they are proved to always converge to d-stationary solutions of the aforementioned class of nonconvex problems. Numerical results show that the proposed (distributed) schemes achieve larger worst-case rates (resp. signal-to-noise interference ratios) than state-of-the-art centralized ones while having comparable computational complexity.

Connected through hyperedge HE-1 (induced by source paper "optimization of massive full dimensional mimo for positioning and communication"):
  with members:
    - "channel estimation and performance analysis of one bit massive mimo systems"
    - "a pessimistic approximation for the fisher information measure"
    - "sectoring in multi cell massive mimo systems"
    - "layered downlink precoding for c ran systems with full dimensional mimo"
    - "positioning for the internet of things a 3gpp perspective"
    - "downlink achievable rate analysis in massive mimo systems with one bit dacs"
    - "optimal fronthaul quantization for cloud radio positioning"
    - "quantized precoding for massive mu mimo"

Connected through hyperedge HE-2 (induced by source paper "joint uplink downlink optimization for backhaul limited mobile cloud computing with user scheduling"):
  with members:
    - "joint subcarrier and cpu time allocation for mobile edge computing"
    - "energy efficient resource allocation for mobile edge computation offloading"
    - "decentralized computation offloading game for mobile cloud computing"
    - "a cooperative scheduling scheme of local cloud and internet cloud for delay aware mobile cloud computing"
    - "joint optimization of radio and computational resources for multicell mobile edge computing"
    - "inter layer per mobile optimization of cloud mobile computing a message passing approach"
    - "energy efficient mobile cloud computing powered by wireless energy transfer"
    - "efficient multi user computation offloading for mobile edge cloud computing"

Connected through hyperedge HE-3 (induced by source paper "mobile edge computing via a uav mounted cloudlet optimization of bit allocation and path planning"):
  with members:
    - "mobile cloud computing with a uav mounted cloudlet optimal bit allocation for communication and computation"
    - "energy efficient uav communication with trajectory optimization"
    - "optimal transport theory for power efficient deployment of unmanned aerial vehicles"
    - "resource allocation for machine to machine communications with unmanned aerial vehicles"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"
    - "unmanned aerial vehicle with underlaid device to device communications performance and tradeoffs"
    - "throughput maximization for mobile relaying systems"
    - "the internet of flying things opportunities and challenges with airborne fog computing and mobile cloud in the clouds"

Connected through hyperedge HE-4 (induced by source paper "phase retrieval using feasible point pursuit algorithms and cramer rao bound"):
  with members:
    - "phase retrieval via wirtinger flow theory and algorithms"
    - "parallel and distributed methods for nonconvex optimization part i theory"
    - "phaselift exact and stable signal recovery from magnitude measurements via convex programming"
    - "phase retrieval via matrix completion"

Connected through hyperedge HE-5 (induced by source paper "energy efficient resource allocation for mobile edge computing based augmented reality applications"):
  with members:
    - "query processing for the internet of things coupling of device energy consumption and cloud infrastructure billing"
    - "joint uplink downlink optimization for backhaul limited mobile cloud computing with user scheduling"
    - "joint optimization of radio and computational resources for multicell mobile edge computing"
    - "parallel and distributed methods for nonconvex optimization part i theory"

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)