Throughput Performance of Uplink Beamforming Transmission through Terminal Collaboration

This paper evaluates the throughput performance of uplink beamforming transmission through terminal collaboration. In the proposed scheme multiple user equipments (UEs) form a group and transmit signals synchronously to enhance the power of a received signal at a base station. The signal transmitted through terminal collaboration is selected according to proportional fairness scheduling. Thus, fairness among UEs is maintained simultaneously with system throughput improvement. Numerical results obtained through computer simulation show that the system throughput grows as the number of UEs in the group increases. It is also shown that the proposed scheme increases the system throughput by about 0.5-1.5 bps/Hz.

Authors

Institutions

Publication Details

Published
2024-10-07
DOI
https://doi.org/10.1109/vtc2024-fall63153.2024.10757872
Citations
2
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.42
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Throughput Performance of Uplink Beamforming Transmission through Terminal Collaboration

Eiku Ando, Sanada Yukitoshi, Riku Nakaoka
2 citations
Advanced MIMO Systems Optimization
0.42
article

Throughput Performance of Uplink Beamforming Transmission through Terminal Collaboration

Eiku Ando, Sanada Yukitoshi, Riku Nakaoka
article en
2 citations

Abstract

This paper evaluates the throughput performance of uplink beamforming transmission through terminal collaboration. In the proposed scheme multiple user equipments (UEs) form a group and transmit signals synchronously to enhance the power of a received signal at a base station. The signal transmitted through terminal collaboration is selected according to proportional fairness scheduling. Thus, fairness among UEs is maintained simultaneously with system throughput improvement. Numerical results obtained through computer simulation show that the system throughput grows as the number of UEs in the group increases. It is also shown that the proposed scheme increases the system throughput by about 0.5-1.5 bps/Hz.

Keio University (JP)
Openalex Percentile: Top 35%
Advanced MIMO Systems Optimization
0.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.