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 "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

Includes members:
  Member "cellular systems with full duplex compress and forward relaying and cooperative base stations":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "hardware impairments aware transceiver design for full duplex amplify and forward mimo relaying")
  Member "gaussian interference channel capacity to within one bit":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "fundamental limits of wireless caching under mixed cacheable and uncacheable traffic")
  Member "on the capacity of interference channels with degraded message sets":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on the degrees of freedom in cognitive radio channels")
  Member "interference channels with common information":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "caching in heterogeneous networks with per file rate constraints")

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)