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Dynamic Power Allocation Method Based on ZF Precoding for Multibeam GEO-LEO Co-Existence System

EasyChair Preprint no. 9102

5 pagesDate: October 24, 2022


Spectrum scarcity has been an obstacle to preventing the development of satellite communication, sharing spectrum between GEO and LEO has proven to be a promising option to resolve it. However, such a system requires GEO as a primary system and LEO as a secondary system that does not cause harmful interference to primary users, and there only consider the inter-satellite interference in the existing literature to maximize the sum rate of the system. This paper proposes a downlink transmission scheme exploiting dynamic power allocation in conjunction with ZF precoding for a multibeam LEO-GEO co-existence satellite system. The motivation behind the proposed design is to jointly optimize the sum rate and user fairness. In our proposed system, we not only consider inter-satellite interference but also consider intra-satellite interference. We formulate a weighted sum rate maximization problem that incorporates SINR requirements for primary users. Since the optimization problem is non-convex, we adopt a closed-form FP approach to transform it. We validate the proposed method with numerical results, it is shown that our scheme can achieve a good balance between system performance and user fairness.

Keyphrases: Closed-form FP, Dynamic Power Allocation, LEO-GEO co-existence, multibeam satellite, user grouping, ZF-Precoding

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Nan Wang and Qi Wang and Na Li and Chaoyi Zhu and Wuyang Zhou},
  title = {Dynamic Power Allocation Method Based on ZF Precoding for Multibeam GEO-LEO Co-Existence System},
  howpublished = {EasyChair Preprint no. 9102},

  year = {EasyChair, 2022}}
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