Efficient Iterative Detection Based on Conjugate Gradient and Successive Over-Relaxation Methods for Uplink Massive MIMO Systems

Being a crucial aspect of fifth-generation (5G) mobile communications systems, massively multiple-input multiple-output (mMIMO) architectures are expected to help achieve the highest key performance indicators. However, huge numbers antennas used in such systems make it difficult determine inversion signal channel matrix relied upon by several detection methods, hence posing problem with accurate estimation symbols sent. In this paper, conjugate gradient (CG) and successive over-relaxation (SOR) methods selected construct new iterative approach that avoids computation issue. This suggested for uplink mMIMO is based on joint cascade structure both methods. The CG method first applied adjusted initial solution, followed SOR final iterations terminal computations, resulting an algorithm robust low computational complexity. Furthermore, hybrid scheme operates relaxation parameter, whose value has great impact error and, optimal determination necessary. Numerical simulations reveal proposed capable significantly improving accuracy minimum simulation results indicated detector outperforms detectors, achieves close performance, requires fewer iterations, reduces