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: "exploiting combination techniques in random access mac protocols enhanced contention resolution aloha"
  Abstract: Recently, random access (RA) protocols have acquired new interest from the scientific community not only in satellite communication scenarios but also due to the opening of new fields as smart grid and machine-to-machine (M2M) applications. Unslotted ALOHA-like RA protocols are very attractive for such applications thanks to the low complexity transmitters and to their complete avoidance of synchronization requirements. Evolutions of the ALOHA protocol employ time diversity through proactive replication of the packets but this diversity is n ot fully exploited at the receiver. The novel RA protocol named enhanced contention resolution ALOHA (ECRA) is presented, which goes beyond the limitation introducing combination techniques in the receiver algorithm. The behaviour of ECRA is investigated through mathematical analysis and simulations for two combination techniques, selection combining (SC) and maximal-ratio combining (MRC). Approximations of the packet error rate (PER) for unslotted RA protocols, including ECRA, well suited for the low channel load regime is also presented. Furthermore, ECRA and recently presented RA protocols, are analyzed in terms of different metrics, including spectral efficiency, showing that ECRA is able to l argely outperform both slotted and unslotted schemes.

Connected through hyperedge HE-1 (induced by source paper "grant free radio access for short packet communications over 5g networks"):
  with members:
    - "enhancing contention resolution aloha using combining techniques"
    - "e 2 mac energy efficient medium access for massive m2m communications"
    - "2d time frequency interference modelling using stochastic geometry for performance evaluation in low power wide area networks"

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)