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Massive multiple-input multiple-output (MIMO) systems are strong candidates for future fifth-generation (5G) heterogeneous cellular networks. For 5G, a network densification with a high number of different classes of users and data service requirements is expected. Such a large number of connected devices needs to be separated in order to allow the detection of the transmitted signals according to...
In this paper, we propose a list detection scheme for the uplink scenario of multiuser multiple-input–multiple-output (MU-MIMO) systems. The proposed technique employs a single lattice reduction (LR) transformation to modify the channel matrix between the users and the base station, which produces a new nearly orthogonal channel matrix and allows for a more efficient detection. After the LR transformation,...
In this paper, we propose a block diagonalization (BD) procedure for the uplink of massive MIMO-OFDM systems to decompose the received signal vector, at the base station (BS), into independent single-user MIMO-OFDM signals. After uplink BD, the detection procedure can be performed separately for each active user, thus reducing the computational complexity when compared with standard detection techniques,...
This paper proposes a combination of the Single Carrier (SC) block transmission and the Code Division Multiple Access (CDMA) technique. Performance comparisons with the traditional SC DS- CDMA block transmission system are presented. A key feature of the proposed transmission technique is that, unlike SC DS-CDMA transmissions, the original code orthogonality between users is preserved despite propagation...
In this paper, we propose a new detection technique for multiuser multiple-input multiple-output (MU-MIMO) systems. The proposed scheme combines a lattice reduction (LR) transformation, which makes the channel matrix nearly orthogonal, and then employs a multi-branch (MB) technique with successive interference cancellation (SIC). A single LR transformation is required for the receive filters of all...
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