Low Complexity Multi-User MIMO Detection for Uplink SCMA System Using Expectation Propagation Algorithm

A Low Complexity Detection Algorithm for SCMA

Sparse code multiple access (SCMA) is a new multiple access technique which supports massive connectivity. Compared with the current Long Term Evolution (LTE) system, it enables the overloading of active users on limited orthogonal resources and thus meets the requirement of the fifth generation (5G) wireless networks. However, the computation complexity of existing detection algorithms increas...

Low complexity MIMO detection algorithm

The multi antenna systems offer a much larger channel capacity than the traditional single antenna systems. The price which has to be extra paid is detection complexity. In this paper we examine performance of the low complexity algorithm called zero forcing–maximum likelihood (ZFML) [5]. We find this algorithm appropriate for MIMO (Multiple Input Multiple Output) systems using more receive tha...

A Complexity-Reduced Active MS Antenna Selection Algorithm for Uplink Multi-user MIMO/SDM Systems

Uplink Capacity of OFDM Multi-User MIMO Using Near-ML Detection in a Cellular System

Multi-user multi-input multi-output (MIMO) system has been attracting much attention due to its high spectrum efficiency. Nonlinear MIMO signal detection methods with less computational complexity have been widely studied for single-user MIMO systems. In this paper, we investigate how a lattice reduction (LR)-aided detection and a maximum likelihood detection (MLD) employing the QR decompositio...

Low-Complexity Soft-Output Signal Detection Based on Gauss-Seidel Method for Uplink Multi-User Large-Scale MIMO Systems

For uplink large-scale MIMO systems, minimum mean square error (MMSE) algorithm is near-optimal but involves matrix inversion with high complexity. In this paper, we propose to exploit the Gauss-Seidel (GS) method to iteratively realize the MMSE algorithm without the complicated matrix inversion. To further accelerate the convergence rate and reduce the complexity, we propose a diagonal-approxi...