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 "cell edge aware precoding for downlink massive mimo cellular networks"):
  Abstract: We propose a  cell-edge-aware  (CEA) zero forcing (ZF) precoder that exploits the excess spatial degrees of freedom provided by a large number of base station (BS) antennas to suppress inter-cell interference at the most vulnerable user equipments (UEs). We evaluate the downlink performance of CEA-ZF, as well as that of a conventional  cell-edge-unaware  (CEU) ZF precoder in a network with a random BS topology. Our analysis and simulations show that the proposed CEA-ZF precoder outperforms CEU-ZF precoding in terms of (i) aggregate per-cell data rate, (ii) coverage probability, and (iii)   $95\%$   -likely, or edge user, rate. In particular, when both perfect channel state information and a large number of antennas   $N$   are available at the BSs, we demonstrate that the outage probability under CEA-ZF and CEU-ZF decay as    ${1}/{N^2}$   and    ${1}/{N}$  , respectively. This result identifies CEA-ZF as a more effective precoding scheme for massive multiple-input multiple-output (MIMO) cellular networks. Our framework also reveals the importance of scheduling the optimal number of UEs per BS, and confirms the necessity to control the amount of pilot contamination received during the channel estimation phase.

Includes members:
  Member "distributed optimization of hierarchical small cell networks a gnep framework":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "power efficient irs assisted noma")
  Member "massive mimo ten myths and one critical question":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "deep learning for massive mimo channel state acquisition and feedback")
  Member "operating massive mimo in unlicensed bands for enhanced coexistence and spatial reuse":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "cobeam beamforming based spectrum sharing with zero cross technology signaling for 5g wireless networks")
  Member "energy efficient design of mimo heterogeneous networks with wireless backhaul":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "reinforcement learning based cooperative coded caching under dynamic popularities in ultra dense networks")
  Member "a stochastic geometry framework for analyzing pairwise cooperative cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "area spectral efficiency and sinr scaling laws in multi antenna cellular networks")
  Member "three practical aspects of massive mimo intermittent user activity pilot synchronism and asymmetric deployment":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "asynchronous downlink massive mimo networks a stochastic geometry approach")
  Member "fractional pilot reuse in massive mimo systems":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "stochastic geometry based uplink analysis of massive mimo systems with fractional pilot reuse")
  Member "a tractable model for noncoherent joint transmission base station cooperation":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "edge computing enabled cell free massive mimo systems")

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)