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: "uplink multicell processing with limited backhaul via per base station successive interference cancellation"
  Abstract: This paper studies an uplink multicell joint processing model in which the base-stations are connected to a centralized processing server via rate-limited digital backhaul links. Unlike previous studies where the centralized processor jointly decodes all the source messages from all base-stations, this paper proposes a suboptimal achievability scheme in which the Wyner-Ziv compress-and-forward relaying technique is employed on a per-base-station basis, but successive interference cancellation (SIC) is used at the central processor to mitigate multicell interference. This results in an achievable rate region that is easily computable, in contrast to the joint processing schemes in which the rate regions can only be characterized by exponential number of rate constraints. Under the per-base-station SIC framework, this paper further studies the impact of the limited-capacity backhaul links on the achievable rates and establishes that in order to achieve to within constant number of bits to the maximal SIC rate with infinite-capacity backhaul, the backhaul capacity must scale logarithmically with the signal-to-interference-and-noise ratio (SINR) at each base-station. Finally, this paper studies the optimal backhaul rate allocation problem for an uplink multicell joint processing model with a total backhaul capacity constraint. The analysis reveals that the optimal strategy that maximizes the overall sum rate should also scale with the log of the SINR at each base-station.

Connected through hyperedge HE-1 (induced by source paper "integer forcing architectures for uplink cloud radio access networks"):
  with members:
    - "achievability performance bounds for integer forcing source coding"
    - "green heterogeneous cloud radio access networks potential techniques performance trade offs and challenges"
    - "on the optimal fronthaul compression and decoding strategies for uplink cloud radio access networks"
    - "outage behavior of integer forcing with random unitary pre processing"
    - "fronthaul compression and transmit beamforming optimization for multi antenna uplink c ran"
    - "system architecture and key technologies for 5g heterogeneous cloud radio access networks"
    - "cloud radio access network virtualizing wireless access for dense heterogeneous systems"
    - "optimized backhaul compression for uplink cloud radio access network"

Connected through hyperedge HE-2 (induced by source paper "optimal beamforming and time allocation for partially wireless powered sensor networks with downlink swipt"):
  with members:
    - "wireless charging technologies fundamentals standards and network applications"
    - "wireless powered communication networks an overview"
    - "cognitive wireless powered network spectrum sharing models and throughput maximization"
    - "throughput optimization for massive mimo systems powered by wireless energy transfer"
    - "spatial throughput maximization of wireless powered communication networks"
    - "joint beamforming design and time allocation for wireless powered communication networks"
    - "optimal resource allocation in full duplex wireless powered communication network"
    - "multi antenna wireless powered communication with energy beamforming"

Connected through hyperedge HE-3 (induced by source paper "virtual cell clustering with optimal resource allocation to maximize capacity"):
  with members:
    - "virtual cell clustering with optimal resource allocation to maximize cellular system capacity"
    - "optimal resource allocation for cellular networks with virtual cell joint decoding"
    - "cloud radio access network virtualizing wireless access for dense heterogeneous systems"
    - "software defined networking a comprehensive survey"
    - "energy efficient scheduling and power allocation in downlink ofdma networks with base station coordination"
    - "femtocell networks a survey"

Connected through hyperedge HE-4 (induced by source paper "virtual cell clustering with optimal resource allocation to maximize cellular system capacity"):
  with members:
    - "optimal resource allocation for cellular networks with virtual cell joint decoding"
    - "cloud radio access network virtualizing wireless access for dense heterogeneous systems"
    - "energy efficient scheduling and power allocation in downlink ofdma networks with base station coordination"
    - "femtocell networks a survey"

Connected through hyperedge HE-5 (induced by source paper "optimal resource allocation for cellular networks with virtual cell joint decoding"):
  with members:
    - "fog optimization via virtual cells in cellular network resource allocation"
    - "cloud radio access network virtualizing wireless access for dense heterogeneous systems"
    - "femtocell networks a survey"

Connected through hyperedge HE-6 (induced by source paper "on the capacity of cloud radio access networks with oblivious relaying"):
  with members:
    - "distributed information bottleneck method for discrete and gaussian sources"
    - "opening the black box of deep neural networks via information"
    - "lossy compression for compute and forward in limited backhaul uplink multicell processing"
    - "on the optimal fronthaul compression and decoding strategies for uplink cloud radio access networks"
    - "an uplink downlink duality for cloud radio access network"
    - "fronthaul constrained cloud radio access networks insights and challenges"
    - "deep learning and the information bottleneck principle"
    - "on discrete alphabets for the two user gaussian interference channel with one receiver lacking knowledge of the interfering codebook"

Connected through hyperedge HE-7 (induced by source paper "signal aligned network coding in k user mimo interference channels with limited receiver cooperation"):
  with members:
    - "optimized backhaul compression for uplink cloud radio access network"
    - "compute and forward on a multi user multi relay channel"
    - "compute and forward strategies for cooperative distributed antenna systems"
    - "compute and forward harnessing interference through structured codes"

Connected through hyperedge HE-8 (induced by source paper "on the optimal fronthaul compression and decoding strategies for uplink cloud radio access networks"):
  with members:
    - "fronthaul compression and transmit beamforming optimization for multi antenna uplink c ran"
    - "cloud radio access network virtualizing wireless access for dense heterogeneous systems"
    - "optimized backhaul compression for uplink cloud radio access network"
    - "short message noisy network coding with a decode forward option"
    - "an outer bound for the vector gaussian ceo problem"
    - "robust and efficient distributed compression for cloud radio access networks"
    - "wireless network information flow a deterministic approach"
    - "multiterminal source coding under logarithmic loss"

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)