A Low Complexity Linear Precoding Method for Massive MIMO

Efficient detectors for uplink massive MIMO systems

“…These methods start with an initial estimate, and after a number of iterations yield an output that represents the solution to the linear system. Methods that exemplify this approach include the Richardson (RI) method [18], the Jacobi (JA) method [19], the successive over-relaxation (SOR) method [20], the conjugate gradient (CG) [21], the Gauss-Siedel (GS) [22] and the accelerated over-relaxation (AOR) method [23]. One drawback of the above methods is that they may require a large number of iterations to converge, especially if users' numbers and BS antennas' numbers are close [24].…”

Deep Unfolding of Chebyshev Accelerated Iterative method for Massive MIMO Detection

“…When the massive MIMO system configuration is fixed, ω opt and β opt can be approximated as a constant value. Another parameter of the AOR method is the acceleration parameter, which is also related to the configuration of massive MIMO and should satisfy 0 < β < α [23]. It has been demonstrated that the optimal AOR approach yields faster convergence rates than the optimal SOR approach [37].…”

“…The successive overrelaxation (SOR) detector [17] can achieve good convergence by utilizing an appropriate matrix splitting pattern and a relaxation factor. Berra et al [23] proposed an AOR-based detection technique, which requires two parameters: relaxation coefficient and acceleration coefficient. However, selecting the optimum parameters remains challenging since they depend on the spectral radius and eigenvalues of the inversion matrix [24].…”

Performance Analysis of Massive MIMO-OFDM System Incorporated with Various Transforms for Image Communication in 5G Systems

“…mMIMO is equipped with a large number of antennae at the base station to serve the end-users. mMIMO boasts of improved spectral efficiency and high communication reliability [15,26]. Amongst features, the ability of OFDM systems to comprehensively interoperate with various modulation techniques makes it the first choice for massive MIMO systems [27].…”

“…Recently, many enabling technologies such as massive MIMO [14] have been introduced to support data rates beyond 5G (B5G) and sixth generation (6G) networks [4]. In mMIMO base station (BS) is equipped with a huge number of antennas, much larger than the number of serviced users [15,16]. mMIMO increases network capacity and data throughput by splitting data packets over multiple signal paths as well as allowing simultaneous multiple users by using multi-user MIMO (MU-MIMO).…”