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 "novel sparse coded ambient backscatter communication for massive iot connectivity"):
  Abstract: Low-power ambient backscatter communication (AmBC) relying on radio-frequency (RF) energy harvesting is an energy-efficient solution for batteryless Internet of things (IoT). However, ambient backscatter signals are severely faded by dyadic backscatter channel (DBC), limiting connectivity in conventional orthogonal time-division-based AmBC (TD-AmBC). In order to support massive connectivity in AmBC, we propose sparse-coded AmBC (SC-AmBC) based on non-orthogonal signaling. Sparse code utilizes inherent sparsity of AmBC where power supplies of RF tags rely on ambient RF energy harvesting. Consequently, sparse-coded backscatter modulation algorithm (SC-BMA) can enable non-orthogonal multiple access (NOMA) as well as M-ary modulation for concurrent backscatter transmissions, providing additional diversity gain. These sparse codewords from multiple tags can be efficiently detected at access point (AP) using iterative message passing algorithm (MPA). To overcome DBC along with intersymbol interference (ISI), we propose dyadic channel estimation algorithm (D-CEA) and dyadic MPA (D-MPA) exploiting weighted-sum of the ISI for information exchange in factor graph. Simulation results validate the potential of the SC-AmBC in terms of connectivity, detection performance and sum throughput.

Includes members:
  Member "cooperative ambient backscatter communications for green internet of things":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "capitalizing backscatter aided hybrid relay communications with wireless energy harvesting")
  Member "retrodirective large antenna energy beamforming in backscatter multi user networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a retrodirective wireless power transfer scheme for ambient backscatter systems")
  Member "lora backscatter enabling the vision of ubiquitous connectivity":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "towards flexible wireless charging for medical implants using distributed antenna system")
  Member "inference from randomized transmissions by many backscatter sensors":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "over the air computation systems optimization analysis and scaling laws")
  Member "modulation and multiple access for 5g networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "capacity and optimal resource allocation for irs assisted multi user communication systems")
  Member "modulation in the air backscatter communication over ambient ofdm carrier":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a retrodirective wireless power transfer scheme for ambient backscatter systems")
  Member "full duplex backscatter interference networks based on time hopping spread spectrum":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "backscatter data collection with unmanned ground vehicle mobility management and power allocation")
  Member "wirelessly powered backscatter communication networks modeling coverage and capacity":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "clustered millimeter wave networks with non orthogonal multiple access")

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)