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: "uplink comp under a constrained backhaul and imperfect channel knowledge"
  Abstract: Coordinated Multi-Point (CoMP) is known to be a key technology for next generation mobile communications systems, as it allows to overcome the burden of inter-cell interference. Especially in the uplink, it is likely that interference exploitation schemes will be used in the near future, as they can be used with legacy terminals and require no or little changes in standardization. Major drawbacks, however, are the extent of additional backhaul infrastructure needed, and the sensitivity to imperfect channel knowledge. This paper jointly addresses both issues in a new framework incorporating a multitude of proposed theoretical uplink CoMP concepts, which are then put into perspective with practical CoMP algorithms. This comprehensive analysis provides new insight into the potential usage of uplink CoMP in next generation wireless communications systems.

Connected through hyperedge HE-1 (induced by source paper "making cell free massive mimo competitive with mmse processing and centralized implementation"):
  with members:
    - "ubiquitous cell free massive mimo communications"
    - "large scale fading decoding in cellular massive mimo systems with spatially correlated channels"
    - "few bit csi acquisition for centralized cell free massive mimo with spatial correlation"
    - "can massive mimo support uplink intensive applications"
    - "on the performance of backhaul constrained cell free massive mimo with linear receivers"
    - "massive mimo has unlimited capacity"
    - "performance of cell free massive mimo systems with mmse and lsfd receivers"
    - "on the total energy efficiency of cell free massive mimo"

Connected through hyperedge HE-2 (induced by source paper "optimal pilot symbols ratio in terms of spectrum and energy efficiency in uplink comp networks"):
  with members:
    - "wideband distributed spectrum sharing with multichannel immediate multiple access"

Connected through hyperedge HE-3 (induced by source paper "cell free massive mimo versus small cells"):
  with members:
    - "cell free massive mimo uniformly great service for everyone"
    - "deploying dense networks for maximal energy efficiency small cells meet massive mimo"
    - "harmonized cellular and distributed massive mimo load balancing and scheduling"
    - "a comparative study of downlink mimo cellular networks with co located and distributed base station antennas"
    - "large scale mimo versus network mimo for multicell interference mitigation"
    - "dealing with interference in distributed large scale mimo systems a statistical approach"
    - "energy efficient large scale distributed antenna system l das for multiple users"
    - "interference reduction in multi cell massive mimo systems i large scale fading precoding and decoding"

Connected through hyperedge HE-4 (induced by source paper "cooperative channel estimation for coordinated transmission with limited backhaul"):
  with members:
    - "csit sharing over finite capacity backhaul for spatial interference alignment"
    - "large system analysis of linear precoding in correlated miso broadcast channels under limited feedback"
    - "robust monotonic optimization framework for multicell miso systems"
    - "k means has polynomial smoothed complexity"
    - "adaptive limited feedback for sum rate maximizing beamforming in cooperative multicell systems"
    - "distributed compression for the uplink of a backhaul constrained coordinated cellular network"

Connected through hyperedge HE-5 (induced by source paper "cloud radio access network virtualizing wireless access for dense heterogeneous systems"):
  with members:
    - "fronthaul compression and precoding design for c rans over ergodic fading channels"
    - "contract based interference coordination in heterogeneous cloud radio access networks"
    - "on the effect of fronthaul latency on arq in c ran systems"
    - "uplink harq for distributed and cloud ran via separation of control and data planes"
    - "joint power and antenna selection optimization in large cloud radio access networks"
    - "resource allocation optimization for delay sensitive traffic in fronthaul constrained cloud radio access networks"
    - "optimized backhaul compression for uplink cloud radio access network"
    - "parallel and distributed methods for nonconvex optimization part i theory"

Connected through hyperedge HE-6 (induced by source paper "analyzing the impact of inter cooperation region interference in coordinated multi point uplink networks"):
  with members:
    - "analyzing the reduced required bs density due to comp in cellular networks"
    - "uplink multicell processing with limited backhaul via per base station successive interference cancellation"
    - "downlink coordinated multi point with overhead modeling in heterogeneous cellular networks"
    - "a tractable approach to coverage and rate in cellular networks"
    - "interference mitigation through limited receiver cooperation"
    - "capacity gain from two transmitter and two receiver cooperation"

Connected through hyperedge HE-7 (induced by source paper "distributed optimization of multi cell uplink co operation with backhaul constraints"):
  with members:
    - "optimized backhaul compression for uplink cloud radio access network"

Connected through hyperedge HE-8 (induced by source paper "optimized backhaul compression for uplink cloud radio access network"):
  with members:
    - "uplink multicell processing with limited backhaul via per base station successive interference cancellation"
    - "robust and efficient distributed compression for cloud radio access networks"
    - "decomposition by successive convex approximation a unifying approach for linear transceiver design in heterogeneous networks"
    - "compute and forward strategies for cooperative distributed antenna systems"
    - "wireless network information flow a deterministic approach"
    - "slepian wolf coding over cooperative relay networks"
    - "distributed mimo receiver achievable rates and upper bounds"

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)