@inproceedings{4ad913fb1ec14e44802a166a1913a598,
title = "A study on UE clustering and antenna selection for distributed MIMO cooperative transmission using multi-user MMSE-SVD",
abstract = "Distributed multiple-input multiple-output (MIMO) is a type of the centralized radio access network (C-RAN) to achieve a high link capacity uniformly over the service area. A large-scale distributed MIMO requires prohibitively high computational complexity. Clustering of user equipments (UEs) can reduce the computational complexity, however, this produces the inter-cluster interference (ICI). In this paper, we propose the UE clustering and antenna selection beyond the cluster boundary assuming multi-user minimum mean square error filtering combined with singular value decomposition (MMSE-SVD). We exploit the multiplexing-diversity tradeoff in MMSE-SVD to suppress effectively the ICI while keeping the multi-user multiplexing capability. It is shown that the proposed UE clustering and antenna selection can achieve 6 times higher sum capacity and 1.6 times higher UE capacity, compared to the without clustering.",
keywords = "Antenna selection, Cooperative transmission, Distributed MIMO, Multi-user mulltiplexing, OFDM, UE clustering",
author = "Yuta Seki and Tomoyuki Saito and Fumiyuki Adachi",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 25th Asia-Pacific Conference on Communications, APCC 2019 ; Conference date: 06-11-2019 Through 08-11-2019",
year = "2019",
month = nov,
doi = "10.1109/APCC47188.2019.9026519",
language = "English",
series = "Proceedings of 2019 25th Asia-Pacific Conference on Communications, APCC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "73--77",
editor = "Bao, {Vo Nguyen Quoc} and Thanh, {Tran Thien}",
booktitle = "Proceedings of 2019 25th Asia-Pacific Conference on Communications, APCC 2019",
address = "United States",
}