Learning-based rate adaptation for uplink massive MIMO with a cooperative data-assisted detector

Zhang，Zezhong1,2; Li，Yang1; Wang，Rui1,3; Chen，Yifan4; Huang，Kaibin1,2

10.1109/GLOBECOM38437.2019.9014010

2019-12-01

2334-0983

978-1-7281-0963-3

2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings

1-6

9-13 Dec. 2019

Waikoloa, HI, USA

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

In this paper, the uplink adaptation for massive multiple-input-multiple-output (MIMO) networks without the knowledge of user density is considered. Specifically, a novel cooperative uplink transmission and detection scheme is first proposed for massive MIMO networks, where each uplink frame is divided into a number of data blocks with independent coding schemes and the following blocks are decoded based on previously detected data blocks in both service and neighboring cells. The asymptotic signal-to- interference-plus-noise ratio (SINR) of the proposed scheme is then derived, and the distribution of interference power considering the randomness of the users' locations is proved to be Gaussian. By tracking the mean and variance of interference power, an online robust rate adaptation algorithm ensuring a target packet outage probability is proposed for the scenario where the interfering channel and the user density are unknown.

Uplink Channel estimation Interference MIMO communication Detectors Signal to noise ratio Correlation

第一

英语

CPCI-S

National Natural Science Foundation of China[61771232][91838301] ; Shenzhen Science and Technology Innovation Committee[JCYJ20160331115457945]

Computer Science ; Engineering ; Telecommunications

Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications

WOS:000552238604121

2-s2.0-85081966040

Scopus

1.Department of Electrical and Electronic Engineering,Southern University of Science and Technology,
2.Department of Electrical and Electronic Engineering,University of Hong Kong,Hong Kong
3.Peng Cheng Laboratory,Shenzhen,China
4.School of Life Science and Technology,University of Electronic Science and Technology of China,China

Zhang，Zezhong,Li，Yang,Wang，Rui,et al. Learning-based rate adaptation for uplink massive MIMO with a cooperative data-assisted detector[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2019:1-6.