[[abstract]]© 2008 Institute of Electrical and Electronics Engineers-Semidefinite relaxation (SDR) is a high-performance efficient approach to MIMO detection especially for the BPSK or QPSK constellations. Recently, a number of research endeavors have focused on extending SDR to the case of 16-QAM constellations. This paper reports two interesting and useful results on this problem. First, we show that two of the existing 16-QAM SDR receivers, namely the polynomial-inspired SDR (PI-SDR) and bound-constrained SDR (BC-SDR) methods, are equivalent. Second, we develop a specialized interior-point algorithm for the implementation of BC-SDR. The proposed algorithm is computationally efficient exploiting the BC-SDR structures, and enables us to ha...
An efficient generalized semidefinite programming relaxation (SDPR) based virtually antipodal (VA) d...
In this paper, a new detection method which combines the semi-definite programming relaxation (SDR) ...
[[abstract]]This paper considers the blind maximum-likelihood (ML) detection problem for orthogonal ...
[[abstract]]In multi-input multi-output (MIMO) detection, semidefinite relaxation (SDR) has been sho...
In multi-input-multi-output (MIMO) detection, semidefinite relaxation (SDR) has been shown to be an ...
Multiple-input multiple-output (MIMO) system is considered to be one of the key technologies of LTE ...
Abstract—We develop a computationally efficient approxima-tion of the maximum likelihood (ML) detect...
Goal: Fast implementation of semidefinite relaxation (SDR) MIMO detection in the QPSK scenario. Emp...
[[abstract]]The blind maximum-likelihood (ML) detection of orthogonal space-time block codes (OSTBCs...
Abstract—The blind maximum-likelihood (ML) detection of orthogonal space-time block codes (OSTBCs) i...
A semi-definite relaxation decoder is proposed for a multiple-input multiple-output (MIMO) system ba...
In this letter, simple semidefinite relaxations are proposed for the detection of high-order quadrat...
An efficient semidefinite programming relaxation (SDPR) based virtually antipodal (VA) detection app...
The increasing demand for high-mobility and high data rate in wireless communications results in co...
In recent years, the semidefinite relaxation (SDR) technique has been at the center of some of very ...
An efficient generalized semidefinite programming relaxation (SDPR) based virtually antipodal (VA) d...
In this paper, a new detection method which combines the semi-definite programming relaxation (SDR) ...
[[abstract]]This paper considers the blind maximum-likelihood (ML) detection problem for orthogonal ...
[[abstract]]In multi-input multi-output (MIMO) detection, semidefinite relaxation (SDR) has been sho...
In multi-input-multi-output (MIMO) detection, semidefinite relaxation (SDR) has been shown to be an ...
Multiple-input multiple-output (MIMO) system is considered to be one of the key technologies of LTE ...
Abstract—We develop a computationally efficient approxima-tion of the maximum likelihood (ML) detect...
Goal: Fast implementation of semidefinite relaxation (SDR) MIMO detection in the QPSK scenario. Emp...
[[abstract]]The blind maximum-likelihood (ML) detection of orthogonal space-time block codes (OSTBCs...
Abstract—The blind maximum-likelihood (ML) detection of orthogonal space-time block codes (OSTBCs) i...
A semi-definite relaxation decoder is proposed for a multiple-input multiple-output (MIMO) system ba...
In this letter, simple semidefinite relaxations are proposed for the detection of high-order quadrat...
An efficient semidefinite programming relaxation (SDPR) based virtually antipodal (VA) detection app...
The increasing demand for high-mobility and high data rate in wireless communications results in co...
In recent years, the semidefinite relaxation (SDR) technique has been at the center of some of very ...
An efficient generalized semidefinite programming relaxation (SDPR) based virtually antipodal (VA) d...
In this paper, a new detection method which combines the semi-definite programming relaxation (SDR) ...
[[abstract]]This paper considers the blind maximum-likelihood (ML) detection problem for orthogonal ...