The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
이 편지에서는 기지국(BS)이 추정된 수신 신호 대 간섭 및 잡음 전력비(SINR)만 사용할 수 있다는 가정 하에 다운링크 빔포밍 처리량이 최대화되도록 다중 셀 환경에서 등가 업링크 문제 공식이 개발되었습니다. 채널 추정 오류 및 지연 피드백으로 인해 빔 벡터를 계산하는 이동국(MS)의 문제. 수치 결과는 제안된 다운링크 빔포밍 처리량 최대화가 채널 불확실성이 있는 환경에서 기존 MMSE(최소 평균 제곱 오차) 빔포밍에 비해 5% 중단 및 평균 처리량의 눈에 띄는 개선을 제공하는 반면, 공칭 채널 불확실성 환경에서는 성능 저하가 상당하다는 것을 보여줍니다. 불확실성이 없는 경우에 비해.
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부
Janghoon YANG, Dong Ku KIM, "Downlink Beamforming Throughput Maximization for Multi-Cell Environment in the Presence of the Channel Uncertainty" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 2, pp. 640-645, February 2009, doi: 10.1587/transcom.E92.B.640.
Abstract: In this letter, an equivalent uplink problem formulation is developed in the multi-cell environment such that the downlink beamforming throughput is maximized under the assumption that base station (BS) can only use the estimated receive signal to interference plus noise power ratio (SINR) of mobile station (MS) in computing beam vectors because of channel estimation error and delay feedback. Numerical results show that the proposed downlink beamforming throughput maximization offers noticeable improvement of 5% outage and average throughput over conventional minimum mean squared error (MMSE) beamforming in the presence of channel uncertainties whereas the performance degradation in the environment of the nominal channel uncertainty is significant compared to the case of no uncertainty.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.640/_p
부
@ARTICLE{e92-b_2_640,
author={Janghoon YANG, Dong Ku KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={Downlink Beamforming Throughput Maximization for Multi-Cell Environment in the Presence of the Channel Uncertainty},
year={2009},
volume={E92-B},
number={2},
pages={640-645},
abstract={In this letter, an equivalent uplink problem formulation is developed in the multi-cell environment such that the downlink beamforming throughput is maximized under the assumption that base station (BS) can only use the estimated receive signal to interference plus noise power ratio (SINR) of mobile station (MS) in computing beam vectors because of channel estimation error and delay feedback. Numerical results show that the proposed downlink beamforming throughput maximization offers noticeable improvement of 5% outage and average throughput over conventional minimum mean squared error (MMSE) beamforming in the presence of channel uncertainties whereas the performance degradation in the environment of the nominal channel uncertainty is significant compared to the case of no uncertainty.},
keywords={},
doi={10.1587/transcom.E92.B.640},
ISSN={1745-1345},
month={February},}
부
TY - JOUR
TI - Downlink Beamforming Throughput Maximization for Multi-Cell Environment in the Presence of the Channel Uncertainty
T2 - IEICE TRANSACTIONS on Communications
SP - 640
EP - 645
AU - Janghoon YANG
AU - Dong Ku KIM
PY - 2009
DO - 10.1587/transcom.E92.B.640
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2009
AB - In this letter, an equivalent uplink problem formulation is developed in the multi-cell environment such that the downlink beamforming throughput is maximized under the assumption that base station (BS) can only use the estimated receive signal to interference plus noise power ratio (SINR) of mobile station (MS) in computing beam vectors because of channel estimation error and delay feedback. Numerical results show that the proposed downlink beamforming throughput maximization offers noticeable improvement of 5% outage and average throughput over conventional minimum mean squared error (MMSE) beamforming in the presence of channel uncertainties whereas the performance degradation in the environment of the nominal channel uncertainty is significant compared to the case of no uncertainty.
ER -