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 "distributed energy spectral efficiency optimization for partial full interference alignment in multi user multi relay multi cell mimo systems"):
  Abstract: The energy spectral efficiency maximization (ESEM) problem of a multi-user, multi-relay, multi-cell system is considered, where all the network nodes are equipped with multi-antenna transceivers. To deal with the potentially excessive interference originating from a plethora of geographically distributed transmission sources, a pair of transmission protocols based on interference alignment (IA) are conceived. The first, termed the full-IA, avoids all intra-cell interference (ICI) and other-cell interference by finding the perfect interference-nulling receive beamforming matrices (RxBFMs). The second protocol, termed partial-IA, only attempts to null the ICI. Employing the RxBFMs computed by either of these protocols mathematically decomposes the channel into a multiplicity of non-interfering multiple-input–single-output channels, which we term as spatial multiplexing components (SMCs). The problem of finding the optimal SMCs as well as their power control variables for the ESEM problem considered is formally defined and converted into a convex optimization form with carefully selected variable relaxations and transformations. Thus, the optimal SMCs and power control variables can be distributively computed using both the classic dual decomposition and subgradient methods. Our results indicate that indeed, the ESEM algorithm performs better than the baseline equal power allocation algorithm in terms of its ESE. Furthermore, surprisingly the partial-IA outperforms the full-IA in all cases considered, which is because the partial-IA is less restrictive in terms of the number of available transmit dimensions at the transmitters. Given the typical cell sizes considered in this paper, the path-loss sufficiently attenuates the majority of the interference, and thus the full-IA over-compensates, when trying to avoid all possible sources of interference.

Includes members:
  Member "limited feedback based interference alignment for interfering multi access channels":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "iterative distributed minimum total mse approach for secure communications in mimo interference channels")
  Member "performance analysis and optimization for interference alignment over mimo interference channels with limited feedback":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "provisioning energy efficiency and qos for multi carrier comp with limited feedback")
  Member "opportunistic downlink interference alignment":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "opportunistic downlink interference alignment for multi cell mimo networks")
  Member "spectral and energy spectral efficiency optimization of joint transmit and receive beamforming based multi relay mimo ofdma cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "low complexity downlink user selection for massive mimo systems")
  Member "maximizing energy efficiency in multi relay ofdma cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "energy efficient resource allocation for time varying ofdma relay systems with hybrid energy supplies")
  Member "achieving maximum energy efficiency in multi relay ofdma cellular networks a fractional programming approach":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "twin timescale radio resource management for ultra reliable and low latency vehicular networks")
  Member "a reconfigurable distributed algorithm for k user mimo interference networks":
    also connected through other hyperedges:
      (none)
  Member "exploiting interference alignment in multi cell cooperative ofdma resource allocation":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "role of interference alignment in wireless cellular network optimization")

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)