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 "on precoding for constant k user mimo gaussian interference channel with finite constellation inputs"):
  Abstract: This paper considers linear precoding for constant channel-coefficient $K$-User MIMO Gaussian Interference Channel (MIMO GIC) where each transmitter-$i$ (Tx-$i$), requires to send $d_i$ independent complex symbols per channel use that take values from fixed finite constellations with uniform distribution, to receiver-$i$ (Rx-$i$) for $i=1,2,\cdots,K$. We define the maximum rate achieved by Tx-$i$ using any linear precoder, when the interference channel-coefficients are zero, as the signal to noise ratio (SNR) tends to infinity to be the Constellation Constrained Saturation Capacity (CCSC) for Tx-$i$. We derive a high SNR approximation for the rate achieved by Tx-$i$ when interference is treated as noise and this rate is given by the mutual information between Tx-$i$ and Rx-$i$, denoted as $I[X_i;Y_i]$. A set of necessary and sufficient conditions on the precoders under which $I[X_i;Y_i]$ tends to CCSC for Tx-$i$ is derived. Interestingly, the precoders designed for interference alignment (IA) satisfy these necessary and sufficient conditions. Further, we propose gradient-ascent based algorithms to optimize the sum-rate achieved by precoding with finite constellation inputs and treating interference as noise. Simulation study using the proposed algorithms for a 3-user MIMO GIC with two antennas at each node with $d_i=1$ for all $i$, and with BPSK and QPSK inputs, show more than 0.1 bits/sec/Hz gain in the ergodic sum-rate over that yielded by precoders obtained from some known IA algorithms, at moderate SNRs.

Includes members:
  Member "real interference alignment exploiting the potential of single antenna systems":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "multi antenna coded content delivery with caching a low complexity solution")
  Member "linear precoder design for mimo interference channels with finite alphabet signaling":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "data aided secure massive mimo transmission under the pilot contamination attack")
  Member "interference alignment for the mimo interference channel with delayed local csit":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "achievable sum dof of the k user mimo interference channel with delayed csit")
  Member "two user gaussian interference channel with finite constellation input and fdma":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "capacity region of k user discrete memoryless interference channels with a mixed strong very strong interference")
  Member "achievable rates in two user interference channels with finite inputs and very strong interference":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a novel power allocation scheme for two user gmac with finite input constellations")
  Member "interference alignment for the k user mimo interference channel":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "achievable dof delay trade offs for the k user mimo interference channel with delayed csit")
  Member "capacity regions and sum rate capacities of vector gaussian interference channels":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "signal processing and optimal resource allocation for the interference channel")
  Member "linear transceiver design for interference alignment complexity and computation":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "iterative distributed minimum total mse approach for secure communications in mimo interference channels")

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)