Resource Allocation for Weighted Max-min Fairness in NOMA with Imperfect SIC

研究成果: Conference contribution

抄録

Power domain Non-orthogonal multiple access (NOMA) is a candidate multiple access technique for future wireless networks, which can improve spectrum efficiency and user connectivity. NOMA requires superposition coding (SC) at the transmitter side and successive interference cancellation (SIC) at the receiver side that can be achieved with reasonable system complexity. A heterogeneous network (Het-net) assisted with unmanned aerial vehicles (UAVs) is considered an indispensable part of the future wireless networks. Hence, weighted max-min fairness (MMF) data rate-based power allocation optimization for UAV-assisted networks in a heterogeneous cellular system is studied. Since power allocation for weighted MMF-based optimization is a non-convex problem, we characterized Perron-Frobenius (PF) theory-based optimization algorithm that converges very fast. The theoretical base and simulation results with imperfect SIC conditions and different weights for user data rates are presented.

本文言語English
ホスト出版物のタイトル2022 IEEE/SICE International Symposium on System Integration, SII 2022
出版社Institute of Electrical and Electronics Engineers Inc.
ページ957-962
ページ数6
ISBN(電子版)9781665445405
DOI
出版ステータスPublished - 2022
イベント2022 IEEE/SICE International Symposium on System Integration, SII 2022 - Virtual, Narvik, Norway
継続期間: 2022 1月 92022 1月 12

出版物シリーズ

名前2022 IEEE/SICE International Symposium on System Integration, SII 2022

Conference

Conference2022 IEEE/SICE International Symposium on System Integration, SII 2022
国/地域Norway
CityVirtual, Narvik
Period22/1/922/1/12

ASJC Scopus subject areas

  • 人工知能
  • ハードウェアとアーキテクチャ
  • 生体医工学
  • 制御およびシステム工学
  • 機械工学
  • 制御と最適化

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