human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "energy efficient symbol level precoding in multiuser miso based on relaxed detection region"
  Abstract: This paper addresses the problem of exploiting interference among simultaneous multiuser transmissions in the downlink of multiple-antenna systems. Using symbol-level precoding, a new approach toward addressing the multiuser interference is discussed through jointly utilizing the channel state information (CSI) and data information (DI). The interference among the data streams is transformed under certain conditions to a useful signal that can improve the signal-to-interference noise ratio (SINR) of the downlink transmissions and as a result the system’s energy efficiency. In this context, new constructive interference precoding techniques that tackle the transmit power minimization (min power) with individual SINR constraints at each user’s receiver have been proposed. In this paper, we generalize the constructive interference (CI) precoding design under the assumption that the received MPSK symbol can reside in a relaxed region in order to be correctly detected. Moreover, a weighted maximization of the minimum SNR among all users is studied taking into account the relaxed detection region. Symbol error rate analysis (SER) for the proposed precoding is discussed to characterize the tradeoff between transmit power reduction and SER increase due to the relaxation. Based on this tradeoff, the energy efficiency performance of the proposed technique is analyzed. Finally, extensive numerical results show that the proposed schemes outperform other state-of-the-art techniques.

Connected through hyperedge HE-1 (induced by source paper "one bit precoding and constellation range design for massive mimo with qam signaling"):
  with members:
    - "throughput analysis of massive mimo uplink with low resolution adcs"
    - "channel estimation and performance analysis of one bit massive mimo systems"
    - "branch and bound precoding for multiuser mimo systems with 1 bit quantization"
    - "massive mimo downlink 1 bit precoding with linear programming for psk signaling"
    - "an efficient manifold algorithm for constructive interference based constant envelope precoding"
    - "uplink performance of wideband massive mimo with one bit adcs"
    - "analysis of one bit quantized precoding for the multiuser massive mimo downlink"
    - "symbol level multiuser miso precoding for multi level adaptive modulation"

Connected through hyperedge HE-2 (induced by source paper "symbol level precoding is symbol perturbed zf when energy efficiency is sought"):
  with members:
    - "quantized precoding for massive mu mimo"
    - "exploiting known interference as green signal power for downlink beamforming optimization"

Connected through hyperedge HE-3 (induced by source paper "symbol level and multicast precoding for multiuser multiantenna downlink a survey classification and challenges"):
  with members:
    - "channel estimation and performance analysis of one bit massive mimo systems"
    - "an overview on resource allocation techniques for multi user mimo systems"
    - "spatio temporal waveform design for multiuser massive mimo downlink with 1 bit receivers"
    - "joint beamforming and broadcasting in massive mimo"
    - "coordinate update algorithms for robust power loading for the mu miso downlink with outage constraints"
    - "robust transmission in downlink multiuser miso systems a rate splitting approach"
    - "adaptive pilot clustering in heterogeneous massive mimo networks"
    - "a rate splitting strategy for max min fair multigroup multicasting"

Connected through hyperedge HE-4 (induced by source paper "interference exploitation in full duplex communications trading interference power for both uplink and downlink power savings"):
  with members:
    - "probabilistically robust swipt for secrecy misome systems"
    - "unraveling the rank one solution mystery of robust miso downlink transmit optimization a verifiable sufficient condition via a new duality result"
    - "transmit precoding for interference exploitation in the underlay cognitive radio z channel"
    - "symbol level multiuser miso precoding for multi level adaptive modulation"
    - "multi objective resource allocation in full duplex swipt systems"
    - "constructive interference through symbol level precoding for multi level modulation"
    - "constructive multiuser interference in symbol level precoding for the miso downlink channel"
    - "a geometrical based throughput bound analysis for device to device communications in cellular networks"

Connected through hyperedge HE-5 (induced by source paper "transmit precoding for interference exploitation in the underlay cognitive radio z channel"):
  with members:
    - "secure m psk communication via directional modulation"
    - "directional modulation via symbol level precoding a way to enhance security"
    - "constructive interference through symbol level precoding for multi level modulation"
    - "constructive multiuser interference in symbol level precoding for the miso downlink channel"
    - "exploiting known interference as green signal power for downlink beamforming optimization"
    - "rethinking the role of interference in wireless networks"
    - "dynamic resource allocation in cognitive radio networks"
    - "training and feedback optimization for multiuser mimo downlink"

Connected through hyperedge HE-6 (induced by source paper "m qam precoder design for mimo directional modulation transceivers"):
  with members:
    - "directional modulation via symbol level precoding a way to enhance security"
    - "constructive interference through symbol level precoding for multi level modulation"
    - "constructive multiuser interference in symbol level precoding for the miso downlink channel"
    - "exploiting known interference as green signal power for downlink beamforming optimization"
    - "single user beamforming in large scale miso systems with per antenna constant envelope constraints the doughnut channel"

Connected through hyperedge HE-7 (induced by source paper "symbol level multiuser miso precoding for multi level adaptive modulation"):
  with members:
    - "directional modulation via symbol level precoding a way to enhance security"
    - "precoding in multibeam satellite communications present and future challenges"
    - "constructive interference through symbol level precoding for multi level modulation"
    - "constructive multiuser interference in symbol level precoding for the miso downlink channel"
    - "energy efficient symbol level precoding in multiuser miso channels"
    - "exploiting known interference as green signal power for downlink beamforming optimization"
    - "multicast multigroup precoding and user scheduling for frame based satellite communications"
    - "optimal multiuser transmit beamforming a difficult problem with a simple solution structure"

Connected through hyperedge HE-8 (induced by source paper "symbol level multiuser miso precoding for multi level adaptive modulation a multicast view"):
  with members:
    - "constructive interference through symbol level precoding for multi level modulation"
    - "constructive multiuser interference in symbol level precoding for the miso downlink channel"
    - "energy efficient symbol level precoding in multiuser miso channels"
    - "exploiting known interference as green signal power for downlink beamforming optimization"
    - "multicast multigroup precoding and user scheduling for frame based satellite communications"
    - "optimal multiuser transmit beamforming a difficult problem with a simple solution structure"
    - "a multicast approach for constructive interference precoding in miso downlink channel"
    - "weighted fair multicast multigroup beamforming under per antenna power constraints"

Question: Please tell me which class the center node 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)