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 "optimal power splitting for simultaneous information detection and energy harvesting"):
  Abstract: This letter deals with the joint information and energy processing at a receiver of a point-to-point communication channel. In particular, the trade-off between the achievable information rate and harvested energy for a multiple-antenna power splitting (PS) receiver is investigated. Here, the rate- energy region characterization is of particular interest, which is intrinsically a non-convex problem. In this letter, an efficient algorithm is proposed for obtaining an approximate solution to the problem in polynomial time. This algorithm is mainly based on the Taylor approximation in conjunction with semidefinite relaxation (SDR) which is solved by interior-point methods. Moreover, we utilize the Gaussian randomization procedure to obtain a feasible solution for the original problem. It is shown that by proper receiver design the rate-energy region can be significantly enlarged compared to the state of the art, while at the same time the receiver hardware costs is reduced by utilizing less number of energy harvesting circuitry.

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 "on the efficiency of widely linear precoding and symbol extension in cellular uplink")
  Member "heterogeneous multi tier networks improper signaling for joint rate energy optimization":
    also connected through other hyperedges:
      (none)
  Member "joint transceiver design algorithms for multiuser miso relay systems with energy harvesting":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "decentralized robust transceiver designs for miso swipt interference channel")
  Member "feedback enhances simultaneous wireless information and energy transmission in multiple access channels":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "specific absorption rate aware beamforming in miso downlink swipt systems")
  Member "noncoherent relaying in energy harvesting communication systems":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "performance analysis of swipt relaying systems in the presence of impulsive noise")
  Member "simultaneous wireless information and power transfer in modern communication systems":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "wirelessly powered sensor networks power allocation for channel estimation and energy beamforming")
  Member "wireless networks with rf energy harvesting a contemporary survey":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "wirelessly powered sensor networks power allocation for channel estimation and energy beamforming")
  Member "joint transmit beamforming and receive power splitting for miso swipt systems":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "random access based reliable uplink communication and power transfer using dynamic power splitting")

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)