most citedAdaptive Minimum BER Reduced-Rank Linear Detection for Massive MIMO Systems

6 citations · 6 across the 5 of their papers we have counts for

collaborators
Showing cs.ITShow all

5 papers · 1 filter

cs.IT2013

Adaptive Reduced-Rank MBER Linear Receive Processing for Large Multiuser MIMO Systems

Y. Cai, R. C. de Lamare

In this work, we propose a novel adaptive reduced-rank strategy based on joint interpolation, decimation and filtering (JIDF) for large multiuser multiple-input multiple-output (MI…

cs.IT2013

Low-Complexity Constrained Constant Modulus SG-based Beamforming Algorithms with Variable Step Size

Lei Wang, Yunlong Cai, Rodrigo C. de Lamare

In this paper, two low-complexity adaptive step size algorithms are investigated for blind adaptive beamforming. Both of them are used in a stochastic gradient (SG) algorithm, whic…

cs.IT2013

Low-Complexity Variable Forgetting Factor Techniques for RLS Algorithms in Interference Rejection Applications

Yunlong Cai, Rodrigo C. de Lamare

We propose a low-complexity variable forgetting factor (VFF) mechanism for recursive least square (RLS) algorithms in interference suppression applications. The proposed VFF mechan…

cs.IT20136 cited

Adaptive Minimum BER Reduced-Rank Linear Detection for Massive MIMO Systems

Yunlong Cai, Rodrigo C. de Lamare

In this paper, we propose a novel adaptive reduced-rank strategy for very large multiuser multi-input multi-output (MIMO) systems. The proposed reduced-rank scheme is based on the…

cs.IT2013

Adaptive Minimum BER Reduced-Rank Interference Suppression Algorithms Based on Joint and Iterative Optimization of Parameters

Yunlong Cai, Rodrigo C. de Lamare

In this letter, we propose a novel adaptive reduced-rank strategy based on joint iterative optimization (JIO) of filters according to the minimization of the bit error rate (BER) c…