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 "on the efficiency of widely linear precoding and symbol extension in cellular uplink"):
  Abstract: We investigate Gaussian widely linear precoding known as improper Gaussian signaling for the cellular uplink with inter-cell interference, known as interference multiple access channel (IMAC). This transmission scheme provides extra degrees of freedom by treating the real and imaginary components of the complex Gaussian signal differently. Since current standards mainly utilize linear beamforming for waveform generation, we highlight the benefits of widely linear beamforming over multiple temporal dimensions (symbol extension in time) in the IMAC. This scheme achieves significantly higher information rates compared to conventional proper Gaussian signaling at the expense of extra complexity at the transmission phase. We study the sum-power minimization problem under rate constraints. This problem is a difference of concave functions (DC) program, hence, a non-convex problem. By numerical simulations, we observe the benefits of improper Gaussian signaling alongside symbol extension in power consumption for both single-antenna and multi-antenna base stations. Interestingly, we observe that at strong interference scenarios, the efficiency of improper Gaussian signaling outperforms conventional proper Gaussian signaling at low rate demands. Moreover, in such scenarios the sum-power required for achieving particular rate demands is significantly reduced.

Includes members:
  Member "harvesting the self interference in heterogeneous full duplex networks for joint rate energy optimization":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "optimal power splitting for simultaneous information detection and energy harvesting")
  Member "approximate capacity region of the mac ic mac":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "noma an information theoretic perspective")
  Member "improper signaling and symbol extensions how far can we go with gaussian p2p codebooks in the interfering mac with tin":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "heterogeneous multi tier networks improper signaling for joint rate energy optimization")
  Member "enabling the multi user generalized degrees of freedom in the gaussian cellular channel":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "on the deterministic sum capacity of the multiple access wiretap channel")
  Member "transmit optimization with improper gaussian signaling for interference channels":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "two user simo interference channel with tin improper signaling versus time sharing")
  Member "interference alignment and neutralization in a cognitive 3 user mac interference channel degrees of freedom":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "improper signaling and symbol extensions how far can we go with gaussian p2p codebooks in the interfering mac with tin")

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)