Orchestrating Heterogeneous NTNs: from Stochastic Geometry to Resource Allocation

Article Properties
  • Publication Date
    2024/01/01
  • Indian UGC (journal)
  • Matthew A. Bliss Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, U.S.A
  • Frederick J. Block MIT Lincoln Laboratory, Lexington, U.S.A
  • Thomas C. Royster LinQuest Corporation, Lexington, U.S.A
  • Christopher G. Brinton Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, U.S.A
  • David J. Love Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, U.S.A
Cite
Bliss, Matthew A., et al. “Orchestrating Heterogeneous NTNs: From Stochastic Geometry to Resource Allocation”. IEEE Transactions on Aerospace and Electronic Systems, 2024, pp. 1-22, https://doi.org/10.1109/taes.2024.3392708.
Bliss, M. A., Block, F. J., Royster, T. C., Brinton, C. G., & Love, D. J. (2024). Orchestrating Heterogeneous NTNs: from Stochastic Geometry to Resource Allocation. IEEE Transactions on Aerospace and Electronic Systems, 1-22. https://doi.org/10.1109/taes.2024.3392708
Bliss, Matthew A., Frederick J. Block, Thomas C. Royster, Christopher G. Brinton, and David J. Love. “Orchestrating Heterogeneous NTNs: From Stochastic Geometry to Resource Allocation”. IEEE Transactions on Aerospace and Electronic Systems, 2024, 1-22. https://doi.org/10.1109/taes.2024.3392708.
1.
Bliss MA, Block FJ, Royster TC, Brinton CG, Love DJ. Orchestrating Heterogeneous NTNs: from Stochastic Geometry to Resource Allocation. IEEE Transactions on Aerospace and Electronic Systems. 2024;:1-22.
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