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 "linear precoding and equalization for network mimo with partial cooperation"):
  Abstract: A cellular multiple-input-multiple-output (MIMO) downlink system is studied, in which each base station (BS) transmits to some of the users so that each user receives its intended signal from a subset of the BSs. This scenario is referred to as network MIMO with partial cooperation since only a subset of the BSs is able to coordinate their transmission toward any user. The focus of this paper is on the optimization of linear beamforming strategies at the BSs and at the users for network MIMO with partial cooperation. Individual power constraints at the BSs are enforced, along with constraints on the number of streams per user. It is first shown that the system is equivalent to a MIMO interference channel with generalized linear constraints (MIMO-IFC-GC). The problems of maximizing the sum rate (SR) and minimizing the weighted sum mean square error (WSMSE) of the data estimates are nonconvex, and suboptimal solutions with reasonable complexity need to be devised. Based on this, suboptimal techniques that aim at maximizing the SR for the MIMO-IFC-GC are reviewed from recent literature and extended to the MIMO-IFC-GC where necessary. Novel designs that aim at minimizing the WSMSE are then proposed. Extensive numerical simulations are provided to compare the performance of the considered schemes for realistic cellular systems.

Includes members:
  Member "multi cell mimo downlink with cell cooperation and fair scheduling a large system limit analysis":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "joint user selection power allocation and precoding design with imperfect csit for multi cell mu mimo downlink systems")
  Member "rank constrained schur convex optimization with multiple trace log det constraints":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "cognitive beamforming for multiple secondary data streams with individual snr constraints")
  Member "mimo b mac interference network optimization under rate constraints by polite water filling and duality":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "how much cache is needed to achieve linear capacity scaling in backhaul limited dense wireless networks")
  Member "optimal multiuser zero forcing with per antenna power constraints for network mimo coordination":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "networked mimo with fractional joint transmission in energy harvesting systems")
  Member "adaptive beamforming in interference networks via bi directional training":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "optimizing the mimo cellular downlink multiplexing diversity or interference nulling")
  Member "duality polite water filling and optimization for mimo b mac interference networks and itree networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "dual link algorithm for the weighted sum rate maximization in mimo interference channels")
  Member "multiuser miso transmitter optimization for intercell interference mitigation":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "the capacity and optimal signaling for gaussian mimo channels under interference constraints full version")
  Member "linear precoding in cooperative mimo cellular networks with limited coordination clusters":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "stochastic modeling and analysis of user centric network 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)