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Massive MIMO Precoding for Interference-Free Multi-Numerology Systems
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DOI：10.1109/TVT.2022.3182408.png)
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摘要
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Multi-numerology transmission is a promising multiple access scheme for flexible communication systems, which can simultaneously support users with different service requirements. To this end, both inter- and intra-numerology interference (inter-NI and intra-NI) should be suppressed, which is not straightforward. This paper proposes a novel zero-forcing (ZF) precoding design, which perfectly eliminates all the interference, for massive multiple-input multiple-output (MIMO) systems with multi-numerology. First of all, we express the signal-to-interference-plus-noise ratio (SINR) of the multi-numerology system with spectrum sharing. From the SINR representation, we identify the channels that precoders must nullify to suppress inter-NI. After that, we propose a ZF precoder suppressing both inter-NI and intra-NI perfectly. The lower bound of ergodic achievable rate with perfect channel state information at the transmitter (CSIT) is analyzed. Based on the lower bound of ergodic achievable rate, we present the feasible rate region. Also, we propose two power allocation schemes: user fairness and the ergodic sum rate maximization. The simulation results demonstrate the advantage of the proposed precoding design and verify our analysis results.
Keyword:
Interference
OFDM
Bandwidth
Antennas
Precoding
Massive MIMO
Signal to noise ratio
Inter-numerology interference (inter-NI)
intra-numerology interference (intra-NI)
massive MIMO
multi-numerology
precoding design
期刊
IF:
7.1
论文数:
1.8W
被引数:
6.6W
机构
引用论文
Joint Power and Resource Block Allocation for Mixed-Numerology-Based 5G Downlink Under Imperfect CSI
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OAAI分享收藏分享收藏Inter-Numerology Interference Analysis and Cancellation for Massive MIMO-OFDM Downlink Systems.png)
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