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A study on channel estimation algorithm with sounding reference signal for TDD downlink scheduling


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Baek, Jung-Yeon, Hong, Een-Kee et Kaddoum, Georges. 2017. « A study on channel estimation algorithm with sounding reference signal for TDD downlink scheduling ». In IEEE 28th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) (Montreal, QC, Canada, Oct. 8-13, 2017) IEEE.
Compte des citations dans Scopus : 1.

Kaddoum G 2017 16002 A study on channel estimation algorithm.pdf - Accepted Version
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Coping with the limited amount of available spectrum, time division duplexing (TDD) system is considered as an attractive duplexing method due to exploiting channel reciprocity as well as flexible resource management. The conventional scheduling scheme is based on the channel quality indicator (CQI) reported from the user equipment (UE) to estimate instantaneous data rates for the scheduling metric calculation. However, CQI is insufficient to reflect the state of the channel variation in terms of frequency and time. Based on the channel reciprocity of TDD systems, we utilize uplink sounding reference signal (SRS) to estimate downlink channel status. However the received SRS power is a result of uplink power control where power control effect should be compensated to estimate channel status in downlink scheduling. In order to solve this problem, we propose the SRS path loss estimation method based on the power headroom report. By using this scheme, the base station (BS) can obtain the compensated signal-to-interference-plusnoise- ratio (SINR) and determine the scheduling metric based on its calculated SINR instead of reported CQI from UE. Simulation results show that the proposed scheduling algorithm outperforms the conventional scheme in total throughput, whereas the fairness index experienced by the proposed algorithm is lesser than of the conventional scheme based on CQI.

Item Type: Conference proceeding
Kaddoum, Georges
Affiliation: Génie électrique
Date Deposited: 28 Nov 2017 16:37
Last Modified: 22 Jan 2020 19:58

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