Abstract
In this paper, we study a joint spatial division multiplexing (JSDM) beamforming scheme, which enables large-scale spatial multiplexing gains for massive multi-input multi-output downlink systems. In contrast to the conventional JSDM, which employs a block diagonalization method as a pre-beamformer, we aim to maximize sum-rate by applying minimum-mean-squared error (MMSE) approaches when designing a pre-beamformer and a multi-user precoder sequentially. First, to suppress inter-group interference, we design the pre-beamformer, which minimizes an upper bound of the sum mean-squared-error in the large-scale array regime. Then, to mitigate same-group interference, we present the multi-user precoder based on the weighted MMSE (WMMSE) optimization method, which requires the same channel state information overhead as the conventional JSDM. Also, in order to reduce the computational complexity, we compute deterministic equivalents of the WMMSE beamforming parameters to generate the beamformers by employing asymptotic results of large system analysis. Through simulation results, we confirm that the proposed two-step beamforming methods bring substantial performance gains in terms of sum-rate over the conventional JSDM schemes especially in a low and medium signal-to-noise ratio regime with comparable complexity.
| Original language | English |
|---|---|
| Article number | 7880687 |
| Pages (from-to) | 3029-3041 |
| Number of pages | 13 |
| Journal | IEEE Transactions on Wireless Communications |
| Volume | 16 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2017 May 1 |
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Keywords
- Massive MIMO systems
- two-stage beamforming
- weighted MMSE
ASJC Scopus subject areas
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering
Cite this
New Beamforming Designs for Joint Spatial Division and Multiplexing in Large-Scale MISO Multi-User Systems. / Jeon, Younghyun; Song, Changick; Lee, Sang Rim; Maeng, Seungjoo; Jung, Jaehoon; Lee, Inkyu.
In: IEEE Transactions on Wireless Communications, Vol. 16, No. 5, 7880687, 01.05.2017, p. 3029-3041.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - New Beamforming Designs for Joint Spatial Division and Multiplexing in Large-Scale MISO Multi-User Systems
AU - Jeon, Younghyun
AU - Song, Changick
AU - Lee, Sang Rim
AU - Maeng, Seungjoo
AU - Jung, Jaehoon
AU - Lee, Inkyu
PY - 2017/5/1
Y1 - 2017/5/1
N2 - In this paper, we study a joint spatial division multiplexing (JSDM) beamforming scheme, which enables large-scale spatial multiplexing gains for massive multi-input multi-output downlink systems. In contrast to the conventional JSDM, which employs a block diagonalization method as a pre-beamformer, we aim to maximize sum-rate by applying minimum-mean-squared error (MMSE) approaches when designing a pre-beamformer and a multi-user precoder sequentially. First, to suppress inter-group interference, we design the pre-beamformer, which minimizes an upper bound of the sum mean-squared-error in the large-scale array regime. Then, to mitigate same-group interference, we present the multi-user precoder based on the weighted MMSE (WMMSE) optimization method, which requires the same channel state information overhead as the conventional JSDM. Also, in order to reduce the computational complexity, we compute deterministic equivalents of the WMMSE beamforming parameters to generate the beamformers by employing asymptotic results of large system analysis. Through simulation results, we confirm that the proposed two-step beamforming methods bring substantial performance gains in terms of sum-rate over the conventional JSDM schemes especially in a low and medium signal-to-noise ratio regime with comparable complexity.
AB - In this paper, we study a joint spatial division multiplexing (JSDM) beamforming scheme, which enables large-scale spatial multiplexing gains for massive multi-input multi-output downlink systems. In contrast to the conventional JSDM, which employs a block diagonalization method as a pre-beamformer, we aim to maximize sum-rate by applying minimum-mean-squared error (MMSE) approaches when designing a pre-beamformer and a multi-user precoder sequentially. First, to suppress inter-group interference, we design the pre-beamformer, which minimizes an upper bound of the sum mean-squared-error in the large-scale array regime. Then, to mitigate same-group interference, we present the multi-user precoder based on the weighted MMSE (WMMSE) optimization method, which requires the same channel state information overhead as the conventional JSDM. Also, in order to reduce the computational complexity, we compute deterministic equivalents of the WMMSE beamforming parameters to generate the beamformers by employing asymptotic results of large system analysis. Through simulation results, we confirm that the proposed two-step beamforming methods bring substantial performance gains in terms of sum-rate over the conventional JSDM schemes especially in a low and medium signal-to-noise ratio regime with comparable complexity.
KW - Massive MIMO systems
KW - two-stage beamforming
KW - weighted MMSE
UR - http://www.scopus.com/inward/record.url?scp=85028693480&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85028693480&partnerID=8YFLogxK
U2 - 10.1109/TWC.2017.2673845
DO - 10.1109/TWC.2017.2673845
M3 - Article
AN - SCOPUS:85028693480
VL - 16
SP - 3029
EP - 3041
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
SN - 1536-1276
IS - 5
M1 - 7880687
ER -