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: "optimality properties distributed strategies and measurement based evaluation of coordinated multicell ofdma transmission"
  Abstract: The throughput of multicell systems is inherently limited by interference and the available communication resources. Coordinated resource allocation is the key to efficient performance, but the demand on backhaul signaling and computational resources grows rapidly with number of cells, terminals, and subcarriers. To handle this, we propose a novel multicell framework with dynamic cooperation clusters where each terminal is jointly served by a small set of base stations. Each base station coordinates interference to neighboring terminals only, thus limiting backhaul signalling and making the framework scalable. This framework can describe anything from interference channels to ideal joint multicell transmission. The resource allocation (i.e., precoding and scheduling) is formulated as an optimization problem (P1) with performance described by arbitrary monotonic functions of the signal-to-interference-and-noise ratios (SINRs) and arbitrary linear power constraints. Although (P1) is nonconvex and difficult to solve optimally, we are able to prove: 1) optimality of single-stream beamforming; 2) conditions for full power usage; and 3) a precoding parametrization based on a few parameters between zero and one. These optimality properties are used to propose low-complexity strategies: both a centralized scheme and a distributed version that only requires local channel knowledge and processing. We evaluate the performance on measured multicell channels and observe that the proposed strategies achieve close-to-optimal performance among centralized and distributed solutions, respectively. In addition, we show that multicell interference coordination can give substantial improvements in sum performance, but that joint transmission is very sensitive to synchronization errors and that some terminals can experience performance degradations.

Connected through hyperedge HE-1 (induced by source paper "multiple antenna technologies for beyond 5g"):
  with members:
    - "intelligent reflecting surface versus decode and forward how large surfaces are needed to beat relaying"
    - "robust trajectory and resource allocation design for secure uav aided communications"
    - "a new look at cell free massive mimo making it practical with dynamic cooperation"
    - "scalability aspects of cell free massive mimo"
    - "cascaded channel estimation for large intelligent metasurface assisted massive mimo"
    - "robust and secure wireless communications via intelligent reflecting surfaces"
    - "channel estimation for intelligent reflecting surface assisted multiuser communications framework algorithms and analysis"
    - "resource allocation for secure irs assisted multiuser miso systems"

Connected through hyperedge HE-2 (induced by source paper "scalable cell free massive mimo systems"):
  with members:
    - "a new look at cell free massive mimo making it practical with dynamic cooperation"
    - "scalability aspects of cell free massive mimo"
    - "making cell free massive mimo competitive with mmse processing and centralized implementation"
    - "covariance matrix estimation for massive mimo"
    - "massive mimo in sub 6 ghz and mmwave physical practical and use case differences"
    - "on the performance of backhaul constrained cell free massive mimo with linear receivers"
    - "fog massive mimo a user centric seamless hot spot architecture"
    - "covariance matrix estimation in massive mimo"

Connected through hyperedge HE-3 (induced by source paper "a new look at cell free massive mimo making it practical with dynamic cooperation"):
  with members:
    - "scalability aspects of cell free massive mimo"
    - "making cell free massive mimo competitive with mmse processing and centralized implementation"
    - "performance of cell free massive mimo systems with mmse and lsfd receivers"
    - "channel hardening and favorable propagation in cell free massive mimo with stochastic geometry"
    - "cell free massive mimo versus small cells"

Connected through hyperedge HE-4 (induced by source paper "channel hardening and favorable propagation in cell free massive mimo with stochastic geometry"):
  with members:
    - "ubiquitous cell free massive mimo communications"
    - "on the ergodic rate lower bounds with applications to massive mimo"
    - "massive mimo with imperfect channel covariance information"
    - "cell free massive mimo versus small cells"
    - "how much do downlink pilots improve cell free massive mimo"
    - "no downlink pilots are needed in tdd massive mimo"
    - "the meta distribution of the sir in poisson bipolar and cellular networks"
    - "cell free massive mimo uniformly great service for everyone"

Connected through hyperedge HE-5 (induced by source paper "performance bounds for antenna domain systems"):
  with members:
    - "rrh clustering and transmit precoding for interference limited 5g cran downlink"
    - "content centric multicast beamforming in cache enabled cloud radio access networks"
    - "fundamental limits of cooperation"
    - "user partitioning for less overhead in mimo interference channels"

Connected through hyperedge HE-6 (induced by source paper "coordination and antenna domain formation in cloud ran systems"):
  with members:
    - "rrh clustering and transmit precoding for interference limited 5g cran downlink"
    - "fundamental limits of cooperation"
    - "user partitioning for less overhead in mimo interference channels"

Connected through hyperedge HE-7 (induced by source paper "user association and interference management in massive mimo hetnets"):
  with members:
    - "performance analysis of massive mimo for cell boundary users"
    - "harmonized cellular and distributed massive mimo load balancing and scheduling"
    - "algorithms for enhanced inter cell interference coordination eicic in lte hetnets"
    - "an overview of load balancing in hetnets old myths and open problems"
    - "optimal user cell association for massive mimo wireless networks"
    - "massive mimo for next generation wireless systems"
    - "what will 5g be"
    - "evolution toward 5g multi tier cellular wireless networks an interference management perspective"

Connected through hyperedge HE-8 (induced by source paper "multicell coordinated beamforming with rate outage constraint part i complexity analysis"):
  with members:
    - "signal processing and optimal resource allocation for the interference channel"
    - "multicell coordinated beamforming with rate outage constraint part ii efficient approximation algorithms"
    - "coordinated beamforming for multiuser miso interference channel under rate outage constraints"
    - "achievable outage rate regions for the miso interference channel"
    - "pareto characterization of the multicell mimo performance region with simple receivers"
    - "outage probability and outage based robust beamforming for mimo interference channels with imperfect channel state information"
    - "achieving global optimality for weighted sum rate maximization in the k user gaussian interference channel with multiple antennas"
    - "optimal beamforming in interference networks with perfect local channel information"

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)