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: "to decode the interference or to consider it as noise"
  Abstract: We address single-user data transmission over a channel where the received signal incurs interference from a finite number of users (interfering users) that use single codebooks for transmitting their own messages. The receiver, however, is allowed to decode interfering users' messages. This means the signal transmitted from any interfering user is either decoded or considered as noise at the receiver side. We propose the following method to obtain an achievable rate for this channel. Assuming its own data is decoded successfully, the receiver partitions the set of interfering users into two disjoint subsets, namely the set of decodable users and the set of non-decodable users. Then the transmitter's rate is chosen such that the intended signal can be jointly decoded with the set of decodable users. To show the strength of this method, we prove that for the additive Gaussian channel with Gaussian interfering users, the Gaussian distribution is optimal and the achievable rate is the capacity of this channel. To obtain the maximum achievable rate, one needs to find the maximum decodable subset of interfering users. Due to the large number of possible choices, having efficient algorithms that find the set of decodable users with maximum cardinality is desired. To this end, we propose an algorithm that enables the receiver to accomplish this task in polynomial time.

Connected through hyperedge HE-1 (induced by source paper "sliding window superposition coding two user interference channels"):
  with members:
    - "optimal achievable rates for interference networks with random codes"
    - "polar coding for interference networks"
    - "is non unique decoding necessary"
    - "a comparison of superposition coding schemes"
    - "rate splitting in the presence of multiple receivers"
    - "universal codes for the gaussian mac via spatial coupling"
    - "a new outer bound and the noisy interference sum rate capacity for gaussian interference channels"

Connected through hyperedge HE-2 (induced by source paper "optimal achievable rates for interference networks with random codes"):
  with members:
    - "a comparison of superposition coding schemes"
    - "wireless network information flow a deterministic approach"
    - "interference decoding for deterministic channels"

Connected through hyperedge HE-3 (induced by source paper "the effect of maximal rate codes on the interfering message rate"):
  with members:
    - "on mmse properties of codes for the gaussian broadcast and wiretap channels"
    - "sub optimality of the han kobayashi achievable region for interference channels"
    - "random coding error exponents for the two user interference channel"
    - "wasserstein continuity of entropy and outer bounds for interference channels"
    - "on the two user interference channel with lack of knowledge of the interference codebook at one receiver"
    - "sub optimality of treating interference as noise in the cellular uplink with weak interference"
    - "on discrete alphabets for the two user gaussian interference channel with one receiver lacking knowledge of the interfering codebook"
    - "on the optimality of treating interference as noise general message sets"

Connected through hyperedge HE-4 (induced by source paper "on the achievable region for interference networks with point to point codes"):
  with members:
    - "optimal achievable rates for interference networks with random codes"
    - "simple transmission strategies for interference channel"
    - "gaussian interference channel capacity to within one bit"

Connected through hyperedge HE-5 (induced by source paper "a study of trade off between opportunistic resource allocation and interference alignment in femtocell scenarios"):
  with members:
    - "downlink interference alignment"
    - "femtocell networks a survey"
    - "uplink capacity and interference avoidance for two tier femtocell networks"

Connected through hyperedge HE-6 (induced by source paper "mmse of bad codes"):
  with members:
    - "soft decoding based strategies for relay and interference channels analysis and achievable rates using ldpc codes"
    - "communication with disturbance constraints"
    - "interference networks with point to point codes"
    - "sub optimality of treating interference as noise in the cellular uplink"
    - "k user interference channels general outer bound and sum capacity for certain gaussian channels"
    - "statistical physics of signal estimation in gaussian noise theory and examples of phase transitions"
    - "estimation in gaussian noise properties of the minimum mean square error"
    - "on mmse properties and i mmse implications in parallel mimo gaussian channels"

Connected through hyperedge HE-7 (induced by source paper "wireless secrecy in cellular systems with infrastructure aided cooperation"):
  with members:
    - "secure transmission with multiple antennas ii the mimome wiretap channel"
    - "discrete memoryless interference and broadcast channels with confidential messages secrecy rate regions"
    - "the mimome channel"
    - "multiple antenna secure broadcast over wireless networks"
    - "the general gaussian multiple access and two way wire tap channels achievable rates and cooperative jamming"
    - "the relay eavesdropper channel cooperation for secrecy"
    - "on the secrecy capacity of fading channels"

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)