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: "capacity of linear two hop mesh networks with rate splitting decode and forward relaying and cooperation"
  Abstract: Abstract—A linear mesh network is considered in which asingle user per cell communicates to a local base station via adedicated relay (two-hop communication). Exploiting the possiblyrelevant inter-cell channel gains, rate splitting with successivecancellation in both hops is investigated as a promising solutionto improve the rate of basic single-rate communications. Then,an alternative solution is proposed that attempts to improve theperformance of the second hop (from the relays to base stations)by cooperative transmission among the relay stations. The coop-erative scheme leverages the common information obtained bythe relays as a by-product of the use of rate splitting in theﬁrst hop. Numerical results bring insight into the conditio ns(network topology and power constraints) under which ratesplitting, with possible relay cooperation, is beneﬁcial. Multi-cellprocessing (joint decoding at the base stations) is also consideredfor reference. I. I NTRODUCTION Wireless mesh networks are currently being investigated fortheir potential to resolve the performance limitations of bothinfrastructure (cellular) and multi-hop (ad hoc) networks interms of quality-of-service and coverage [1]. Basically, meshnetworks prescribe the combination of communication viadirect transmission to infrastructure nodes (base stations) andvia multi-hop transmission through intermediate nodes (relaystations). The latter can generally be mobile terminals, or ﬁxedstations appropriately located by the service provider. Theassessment of the performance of such networks is an openproblem that has attracted interest from different communitiesand ﬁelds, especially information-theory [2] [3] and network-ing [4]. Recently, there has also been considerable interest infurther enhancing the performance of infrastructure or meshnetworks by endowing the system with a central processorable to pool the signals received by the base stations andperform joint processing (this scenario is usually referred toas distributed antennas or multi-cell processing) [5].In this paper, we focus on a linear mesh network as sketchedin Fig. 1. It is assumed that one mobile terminal (MT) is active

Connected through hyperedge HE-1 (induced by source paper "distributed power splitting for swipt in relay interference channels using game theory"):
  with members:
    - "power allocation strategies in energy harvesting wireless cooperative networks"
    - "simultaneous information and energy transfer in large scale networks with without relaying"
    - "beamforming for miso interference channels with qos and rf energy transfer"
    - "cooperative energy harvesting networks with spatially random users"
    - "simultaneous information and power transfer for broadband wireless systems"
    - "wireless information and power transfer energy efficiency optimization in ofdma systems"
    - "relaying protocols for wireless energy harvesting and information processing"
    - "wireless information and power transfer a dynamic power splitting approach"

Connected through hyperedge HE-2 (induced by source paper "two hop interference channels impact of linear schemes"):
  with members:
    - "capacity results for binary fading interference channels with delayed csit"
    - "two hop interference channels impact of linear time varying schemes"
    - "on interference networks over finite fields"
    - "structured lattice codes for some two user gaussian networks with cognition coordination and two hops"
    - "topological interference management with alternating connectivity"
    - "wireless network information flow a deterministic approach"
    - "interference alignment with asymmetric complex signaling settling the host madsen nosratinia conjecture"

Connected through hyperedge HE-3 (induced by source paper "interference channels with half duplex source cooperation"):
  with members:
    - "partial decode forward binning schemes for the causal cognitive relay channels"
    - "wireless network information flow a deterministic approach"
    - "interference channels with source cooperation"
    - "interference channels with destination cooperation"
    - "gaussian z interference channel with a relay link achievability region and asymptotic sum capacity"
    - "capacity bounds of half duplex gaussian cooperative interference channel"
    - "interference mitigation through limited receiver cooperation"
    - "capacity bounds for two hop interference networks"

Connected through hyperedge HE-4 (induced by source paper "a generalized cut set bound for deterministic multi flow networks and its applications"):
  with members:
    - "real interference alignment exploiting the potential of single antenna systems"
    - "wireless network information flow a deterministic approach"
    - "two unicast information flows over linear deterministic networks"
    - "network coding capacity a functional dependence bound"
    - "a simple necessary and sufficient condition for the double unicast problem"
    - "a new outer bound and the noisy interference sum rate capacity for gaussian interference channels"
    - "capacity bounds for the gaussian interference channel"
    - "gaussian interference channel capacity to within one bit"

Connected through hyperedge HE-5 (induced by source paper "structured lattice codes for some two user gaussian networks with cognition coordination and two hops"):
  with members:
    - "real interference alignment exploiting the potential of single antenna systems"
    - "on interference networks over finite fields"
    - "reverse compute and forward a low complexity architecture for downlink distributed antenna systems"
    - "the approximate sum capacity of the symmetric gaussian k user interference channel"
    - "integer forcing mimo linear receivers based on lattice reduction"
    - "compute and forward strategies for cooperative distributed antenna systems"
    - "inner and outer bounds for the gaussian cognitive interference channel and new capacity results"
    - "the degrees of freedom of compute and forward"

Connected through hyperedge HE-6 (induced by source paper "cooperative algorithms for mimo amplify and forward relay networks"):
  with members:
    - "on the degrees of freedom achievable through interference alignment in a mimo interference channel"
    - "aligned interference neutralization and the degrees of freedom of the 2 user interference channel with instantaneous relay"
    - "cooperative algorithms for mimo interference channels"
    - "on feasibility of interference alignment in mimo interference networks"
    - "capacity bounds for two hop interference networks"
    - "the mimo wireless switch relaying can increase the multiplexing gain"
    - "on feasibility of interference alignment in mimo interference networks"
    - "interference alignment with asymmetric complex signaling settling the host madsen nosratinia conjecture"

Connected through hyperedge HE-7 (induced by source paper "two hop interference channels impact of linear time varying schemes"):
  with members:
    - "capacity results for binary fading interference channels with delayed csit"
    - "degrees of freedom of two hop wireless networks everyone gets the entire cake"
    - "two unicast wireless networks characterizing the degrees of freedom"

Connected through hyperedge HE-8 (induced by source paper "structured lattice codes for 2 times 2 times 2 mimo interference channel"):
  with members:
    - "capacity of a class of symmetric simo gaussian interference channels within o 1"
    - "compute and forward harnessing interference through structured codes"
    - "generalized degrees of freedom of the symmetric gaussian k user interference channel"

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)