Results 31 to 40 of about 14,760 (220)
Spatial modulation for generalized MIMO: challenges, opportunities and implementation [PDF]
, 2013 A key challenge of future mobile communication research is to strike an attractive compromise between wireless network's area spectral efficiency and energy efficiency.
Renzo, Marco Di +13 more
core +1 more source
Unified MIMO-multicarrier designs: a space–time shift keying approach [PDF]
, 2015 A survey and tutorial is provided on the subject of multiple-input multiple-output (MIMO) multicarrier (MC) systems relying on the space-time shift keying concept.
Sugiura, Shinya +3 more
core +1 more source
Broadbeam for Massive MIMO Systems [PDF]
IEEE Transactions on Signal Processing, 2016 Massive MIMO has been identified as one of the promising disruptive air interface techniques to address the huge capacity requirement demanded by 5G wireless communications. For practical deployment of such systems, the control message need to be broadcast to all users reliably in the cell using broadbeam.
Deli Qiao, Haifeng Qian, Geoffrey Ye Li
openaire +2 more sources
Nonlinear Precoding for Phase-Quantized Constant-Envelope Massive MU-MIMO-OFDM [PDF]
, 2018 We propose a nonlinear phase-quantized constant-envelope precoding algorithm for the massive multi-user (MU) multiple-input multiple-output (MIMO) downlink.
Durisi, Giuseppe, +9 more
core +1 more source
Research on I / Q Unbalanced Channel Reciprocity Calibration Algorithm in Massive MIMO System
MATEC Web of Conferences, 2017 Massive MIMO system uses the transmitter channel state information (CSI) to preprocess the transmitted data, which can effectively reduce the interference and enhance the Massive MIMO system capacity.
Cui Jinming +3 more
doaj +1 more source
Deep Clustering-Based Codebook Design for Massive MIMO Systems
IEEE Access, 2019 Deep learning (DL) can effectively handle explosive data and solve the complicated non-convex problems. Recently, it is used to reduce the overhead of channel state information (CSI) feedback and improve the performance of the limited feedback massive ...
Jing Jiang +4 more
doaj +1 more source
EVM Prediction for Massive MIMO [PDF]
2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2019 Signal to interference plus noise ratio (SINR) is a widely common performance metric used in the majority of massive multiple-input, multiple-output (Ma-MIMO) research. This metric requires prior knowledge of the user channel vectors and the interference caused by inaccurate channel state information (CSI).
Wael Boukley Hasan +3 more
openaire +3 more sources
Quantized Massive MU-MIMO-OFDM Uplink
, 2016 Coarse quantization at the base station (BS) of a massive multi-user (MU) multiple-input multiple-output (MIMO) wireless system promises significant power and cost savings.
Durisi, Giuseppe, +3 more
core +1 more source
IEEE Access, 2020 The irruption of the cell-free (CF) massive multiple-input multiple-output (MIMO) network topology has meant taking one step further the concept of massive MIMO as a means to provide uniform service in large coverage areas. A key property of massive MIMO
Alberto Alvarez Polegre +3 more
doaj +1 more source
A Novel Performance Bound for Massive MIMO Enabled HetNets
Mathematics, 2023 Massive multiple-input and multiple-output (MIMO) networks with higher throughput rates, where a base station (BS) with a large-scale antenna array serves multiple users, have been widely employed in next-generation wireless communication test systems ...
Hao Li +4 more
doaj +1 more source