TY - JOUR
T1 - Optimizing Feedback User Selection for Standalone U-LTE Networks with Randomly Delayed CSI
AU - Shan, Hangguan
AU - Qin, Taojie
AU - Yu, Guanding
AU - Cai, Lin X.
AU - Cheng, Yu
AU - Quek, Tony Q.S.
N1 - Funding Information:
Manuscript received February 20, 2019; revised April 6, 2019; accepted April 16, 2019. Date of publication April 22, 2019; date of current version August 21, 2019. This work was supported in part by the National Natural Science Foundation of China under Grant 61771427 and Grant 61671407, in part by the Zhejiang Provincial Public Technology Research of China under Grant 2016C31063, and in part by the SUTD-ZJU IDEA Grant for Visiting Professor under Grant 201804. The associate editor coordinating the review of this paper and approving it for publication was S. Andreev. (Corresponding author: Hangguan Shan.) H. Shan, T. Qin, and G. Yu are with the College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China, and also with SUTD-ZJU IDEA, Hangzhou 310027, China (e-mail: hshan@zju.edu.cn; 21531052@zju.edu.cn; yuguanding@zju.edu.cn).
Publisher Copyright:
© 2012 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - Accurate channel state information (CSI) plays a critical role in channel-aware transmissions. However, in standalone long-term evolution networks in unlicensed spectrum, it is challenging to obtain accurate CSI timely via intermittent and random channel access. In this letter, we propose an optimization framework to achieve the maximum user utility with appropriate user selection for CSI feedback. Specifically, in the proposed framework, the selection of CSI feedback users is optimized together with subchannel pre-allocation for maximizing the proportional fairness utility of users' expected throughput of future channel access, considering the impact of randomly delayed CSI due to channel contentions. Simulation results show the effectiveness of the proposed optimization framework.
AB - Accurate channel state information (CSI) plays a critical role in channel-aware transmissions. However, in standalone long-term evolution networks in unlicensed spectrum, it is challenging to obtain accurate CSI timely via intermittent and random channel access. In this letter, we propose an optimization framework to achieve the maximum user utility with appropriate user selection for CSI feedback. Specifically, in the proposed framework, the selection of CSI feedback users is optimized together with subchannel pre-allocation for maximizing the proportional fairness utility of users' expected throughput of future channel access, considering the impact of randomly delayed CSI due to channel contentions. Simulation results show the effectiveness of the proposed optimization framework.
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U2 - 10.1109/LWC.2019.2912598
DO - 10.1109/LWC.2019.2912598
M3 - Article
AN - SCOPUS:85071255766
VL - 8
SP - 1236
EP - 1239
JO - IEEE Wireless Communications Letters
JF - IEEE Wireless Communications Letters
SN - 2162-2337
IS - 4
M1 - 8694877
ER -