human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "llr based successive cancellation list decoder for polar codes with multibit decision"):
  Abstract: Due to their capacity-achieving property, polar codes have become one of the most attractive channel codes. To date, the successive-cancellation list (SCL) decoding algorithm is the primary approach that can guarantee outstanding error-correcting performance of polar codes. However, the hardware designs of the original SCL decoder have a large silicon area and a long decoding latency. Although some recent efforts can reduce either the area or latency of SCL decoders, these two metrics still cannot be optimized at the same time. This brief, for the first time, proposes a general log-likelihood-ratio (LLR) based SCL decoding algorithm with multibit decision. This new algorithm, referred to as    $\text{LLR}-2^{K}\ \text{b-SCL}$  , can determine    $2^{K}$   bits simultaneously for arbitrary    $K$   with the use of LLR messages. In addition, a reduced-data-width scheme is presented to reduce the critical path of the sorting block. Then, based on the proposed algorithm, a VLSI architecture of the new SCL decoder is developed. Synthesis results show that, for an example (1024, 512) polar code with list size 4, the proposed    $\text{LLR}-2^{K}\ \text{b}-\text{SCL}$   decoders achieve a significant reduction in both area and latency as compared to prior works. As a result, the hardware efficiencies of the proposed designs with    $K=2\ \text{and}\ 3$   are 2.33 times and 3.32 times of that of the state-of-the-art works, respectively.

Includes members:
  Member "llr based successive cancellation list decoding of polar codes":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "polar codes and their quantum domain counterparts")
  Member "successive cancellation decoding of polar codes using stochastic computing":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "polar codes and their quantum domain counterparts")
  Member "successive cancellation list polar decoder using log likelihood ratios":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a complexity reduction method for successive cancellation list decoding")
  Member "an efficient list decoder architecture for polar codes":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "an asymmetric adaptive scl decoder hardware for ultra low error rate polar codes")
  Member "list decoding of polar codes":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "polar codes and their quantum domain counterparts")
  Member "channel polarization a method for constructing capacity achieving codes for symmetric binary input memoryless channels":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "reed muller codes theory and algorithms")

Question: Please tell me which class the source paper 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)