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User Scheduling for DL-MU-MIMO Transmission with QoE Constraints. Date: 2013-1 1 -3. Nov . 2013. Authors:. Slide 1. Content. Motivation General Characteristics of System Model Proposed User Scheduling Scheme Conclusion References. Nov . 2013. Slide 2. Motivation.
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User Scheduling for DL-MU-MIMO Transmission with QoE Constraints Date: 2013-11-3 Nov. 2013 Authors: Slide 1
Content • Motivation • General Characteristics of System Model • Proposed User Scheduling Scheme • Conclusion • References Nov. 2013 Slide 2
Motivation This document provides a joint user scheduling scheme for the DL-MU-MIMO transmission which takes into account diverse quality of experience (QoE) requirements of mobile devices. By adding the proposed user scheduling scheme, HEW could offer improvements to the overall performance enhancement to support high-data-rate multiple users with diverse QoE requirements. Nov. 2013 Slide 3
General Characteristics of System Model Spatially uncorrelated flat fading channel Perfect current channel state information (CSI) Singular value decomposition based Block Diagonalization method The scheduling decision is made based on QoE requirements, current CSI and current queuing state information of all MUs Nov. 2013 Slide 4
General Characteristics of System Model Nov. 2013 Slide 5
Proposed User Scheduling Scheme Nov. 2013 Slide 6
Proposed User Scheduling Scheme Nov. 2013 Slide 7
Proposed User Scheduling Scheme The proposed user scheduling scheme can be summarized as the following four steps: 1) Each MU estimates its current CSI and uploads it to AP using the uplink dedicated pilots. 2) AP receives the CSI from all MUs and obtains the QSI through observing MUs’ buffers. Nov. 2013 Slide 8
Proposed User Scheduling Scheme Oct. 2013 Slide 9
Nov. 2013 Procedure of proposed user scheduling scheme Slide 10
Conclusion This document provides a joint user scheduling scheme for the DL-MU-MIMO transmission which takes into account diverse QoE requirements of mobile devices. The proposed scheme incorporates both the source statistics and queue dynamics to determine the subset of users chosen for each scheduling slot. The proposed scheme can not only maintain the QoE requirements in the presence of bursty data traffic but also maximize the system throughput by exploiting the multiplexing diversity gain and multiuser selection gain. Nov. 2013 Slide 11
References [1] 12/0910r0, Carrier oriented WIFI for cellular offload, Orange. [2] 13/1158r0, Video Traffic and Applications for HEW, William Carney. [3] 13/0850r0, Quantitative QoE Requirements for HEW, Huai-Rong Shao. [4] 13/1090r2, Non-linear pre-coding MIMO Scheme for next generation WLAN, Xiang Gao. [5] 13/1154r0, DL-MU-MIMO Transmission with Unequal Bandwidth, Yongming Huang. [6] 13/0865r2, Video Data Rate for HEW, Huai-Rong Shao. [7] F. Kelly, “Notes on effective bandwidths,” in Stochastic Networks: Theory and Applications, vol. 4, Royal Statistical Society Lecture Notes Series, Ed. Oxford: Oxford Statistical Science Series Oxford Univ. Press, 1996, pp. 141–168. [8] G. Caire and S. Shamai, “On the achievable throughput of a multi-antenna Gaussian broadcast channel,” IEEE Trans. Inform. Theory, vol. 49, no. 7, pp. 1691-1706, Jul. 2003. [9] J. S. Harsini and F. Lahouti, “Adaptive transmission policy design for delay-sensitive and bursty packet traffic over wireless fading channels,” IEEE Trans. Wireless Commun., vol. 8, no. 2, pp. 776–786, Feb. 2009.. Nov. 2013 Slide 12