Open AccessAdaptive SU/MU‐MIMO scheduling schemes for LTE‐A downlink transmission
Author(s) -
Guo Wei,
Fan Jiancun,
Li Geoffrey Ye,
Yin Qinye,
Zhu Xiaolong
Publication year - 2017
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2016.0456
Subject(s) - computer science , mimo , telecommunications link , codebook , scheduling (production processes) , multi user mimo , precoding , throughput , lte advanced , algorithm , real time computing , computer network , mathematical optimization , wireless , mathematics , telecommunications , channel (broadcasting)
We investigate multi‐user (MU) multiple‐input multiple‐output (MIMO) scheduling under the practical constraints in long‐term evolution advanced (LTE‐A) downlink cellular networks. The authors first derive the received signal model in MU‐MIMO systems when there exist both inter‐stream interference (ISI) and inter‐user interference (IUI) at each user device. Based on this, they formulate the optimisation problem as joint user pairing, precoding matrix indicator (PMI) selection, and resource block (RB) allocation to maximise the total system throughput. The authors then develop a codebook grouping technique for user pairing and PMI selection in MU‐MIMO. With the help of codebook grouping, the authors propose some suboptimal and low‐complexity scheduling algorithms to improve system throughput. From system‐level simulation, the proposed algorithms can improve the network throughput significantly when exploiting only limited feedback designed for single‐user (SU) MIMO in the LTE‐A specification.