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Statistical analysis in cellular systems for channel capacity improvement with dynamic pilots across different angles users.
Ali, Shahid; Yasen, Nazhakaiti; Abdullaeva, Barno Sayfutdinovna; Mostafa, Almetwally M; AlQahtani, Nouf F.
Affiliation
  • Ali S; School of Electronics, Peking University, Beijing, China.
  • Yasen N; School of Computer Science, Communication University of china, Beijing, China. nyasin@qq.com.
  • Abdullaeva BS; Department of Mathematics and Information Technologies, Tashkent State Pedagogical University, Bunyodkor Avenue, 27, 100070, Tashkent, Uzbekistan.
  • Mostafa AM; Department of Information Systems, College Computers and Information Science, King Saud University, Riyadh, Saudi Arabia.
  • AlQahtani NF; IS Department, College of Education, King Saud University, Riyadh, Saudi Arabia.
Sci Rep ; 14(1): 13341, 2024 Jun 10.
Article in En | MEDLINE | ID: mdl-38858506
ABSTRACT
Accurate channel state information (CSI) is crucial for optimizing wireless communication systems. In scenarios with varying user-to-base station angles, the angle-dependent coherence time impacts conventional pilot strategies. Due to small angles, the coherence time of the user decreases dramatically because of doppler shift, which causes an increase in the number of pilots. We introduces an innovative sub-block design approach for systems with different user angles. This method harmonizes coherence time of high and low-angle users, while maintaining a constant pilot count. This not only improves spectral efficiency but also ensures accurate channel estimation. Through simulations, we demonstrate the effectiveness of our approach in enhancing both spectral efficiency upt to 10 % and CSI precision. This breakthrough contributes to the advancement of channel estimation techniques in scenarios with angle-dependent coherence time, offering practical benefits to wireless communication systems.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Rep Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Rep Year: 2024 Document type: Article Affiliation country: Country of publication: