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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shaofeng Du Yafeng Wang Yong Zhang Yang Dacheng |
| Copyright Year | 2010 |
| Description | Author affiliation: China Mobile Research Institute, Beijing, China (Yong Zhang) || Wireless Theories and Technologies (WT&T) Lab, Beijing University of Posts and Telecommunications, China (Shaofeng Du; Yafeng Wang; Yang Dacheng) |
| Abstract | This paper utilizes an adaptive modulation and coding (AMC) scheme and compares the performance of adaptation between single-user multiple input multiple output (SU-MIMO) and multi-user (MU) MIMO with that of SU-MIMO. In long term evolution (LTE), every UE only needs to feed back SU-MIMO rank 1 channel quality indicator (CQI) which could get feedback overhead and computational complexity reduction. This CQI message contains a specific MCS index predicted by the UE. In this AMC scheme, MU-MIMO modulation and coding scheme (MCS) of a user equipment (UE) can be obtained from its SU-MIMO rank 1 (single stream transmission) MCS. According to the SU-MIMO rank 1 MCS and MU-MIMO MCS obtained, we can achieve adaptation between SU-MIMO and MU-MIMO by two-user orthogonal pairing and proportional fair (PF) scheduling. Simulation results show that the adaptation can achieve significant improvement on spectrum efficiency (SE) compared with SU-MIMO by means of the AMC scheme proposed in this paper. |
| Starting Page | 588 |
| Ending Page | 592 |
| File Size | 145573 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424467693 |
| e-ISBN | 9781424467723 |
| DOI | 10.1109/ICBNMT.2010.5705158 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-26 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Adaptation model Transmitting antennas Adaptive arrays Interference Downlink MU-MIMO Precoding PF MIMO LTE MCS Signal to noise ratio Adaptation |
| Content Type | Text |
| Resource Type | Article |
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