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 "non asymptotic achievable rates for gaussian energy harvesting channels best effort and save and transmit"):
  Abstract: An additive white Gaussian noise (AWGN) energy-harvesting (EH) channel is considered where the transmitter is equipped with an infinite-sized battery. The energy arrival process is modeled as a sequence of independent and identically distributed (i.i.d.) random variables. The capacity of this channel is known and is achievable by the so-called best-effort and save-and-transmit schemes. This paper investigates the best-effort scheme in the finite blocklength regime, and establishes the first non-asymptotic achievable rate for it. The first-order term of the non-asymptotic achievable rate equals the capacity, and the second-order term is proportional to $-\sqrt{\frac{\log n}{n}}$ where $n$ is the blocklength. The proof technique involves analyzing the escape probability of a Markov process. In addition, we use this new proof technique to analyze the save-and-transmit and derive a new non-asymptotic achievable rate for it, whose first-order and second-order terms achieve the capacity and the scaling $-O\Big(\sqrt{\frac{1}{n}}\Big)$ respectively. For all sufficiently large signal-to-noise ratios (SNRs), this new achievable rate outperforms the existing ones. The results are also extended to the block energy arrival model where the length of each energy block $L$ grows sublinearly in $n$. It is shown that best-effort and save-and-transmit achieve the second-order scalings $-O\Big(\sqrt{\frac{\max\{\log n, L\}}{n}}\Big)$ and $-O\Big(\sqrt{\frac{L}{n}}\Big)$ respectively.

Includes members:
  Member "on achievable rates of awgn energy harvesting channels with block energy arrival and non vanishing error probabilities":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "second order and moderate deviation analysis of a block fading channel with deterministic and energy harvesting power constraints")
  Member "online power control for block i i d energy harvesting channels":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "age minimal transmission for energy harvesting sensors with finite batteries online policies")
  Member "capacity analysis of discrete energy harvesting channels":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "capacity of a full duplex wirelessly powered communication system with self interference and processing cost")
  Member "finite blocklength achievable rates for energy harvesting awgn channels with infinite buffer":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "second order and moderate deviation analysis of a block fading channel with deterministic and energy harvesting power constraints")
  Member "non asymptotic achievable rates for energy harvesting channels using save and transmit":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "second order and moderate deviation analysis of a block fading channel with deterministic and energy harvesting power constraints")
  Member "capacity of the energy harvesting channel with a finite battery":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "capacity of a full duplex wirelessly powered communication system with self interference and processing cost")
  Member "closed form delay optimal power control for energy harvesting wireless system with finite energy storage":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "online power control for block i i d energy harvesting channels")
  Member "the binary energy harvesting channel with a unit sized battery":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "sending information through status updates")

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)