Low-Complexity SSOR-Based Precoding for Massive MIMO Systems


With the rise of the number of base station (BS) antennas in huge multiple-input multiple-output (MIMO) systems, linear precoding schemes are ready to attain the close to-optimal performance, and so are more attractive than nonlinear precoding techniques. However, conventional linear precoding schemes like zero-forcing (ZF) precoding involve the matrix inversion of enormous size with high computational complexity, particularly in massive MIMO systems. To reduce the complexity, in this letter, we tend to propose a coffee-complexity linear precoding scheme primarily based on the symmetric successive over relaxation (SSOR) methodology. Moreover, we tend to propose a straightforward approach to approximate the optimal relaxation parameter of the SSOR-based precoding by exploiting the channel property of asymptotical orthogonality in huge MIMO systems. We tend to show that the proposed SSOR-based precoding can cut back the complexity of the classical ZF precoding by about one order of magnitude without performance loss, and it conjointly outperforms the recently proposed linear approximate precoding schemes in typical fading channels.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :Improved Low-Complexity Sphere Decoding for Generalized Spatial Modulation - 2018ABSTRACT:During this letter, two types of improved sphere decoding (SD) algorithms for generalized spatial modulation (GSM), termed
PROJECT TITLE :Algorithm and Architecture of a Low-Complexity and High-Parallelism Preprocessing-Based K -Best Detector for Large-Scale MIMO Systems - 2018ABSTRACT:As a branch of sphere decoding, the K-best method has played an
PROJECT TITLE :Compressive Channel Estimation and Multi-User Detection in C-RAN With Low-Complexity Methods - 2018ABSTRACT:This Project considers the channel estimation (CE) and multi-user detection (MUD) problems in cloud radio
PROJECT TITLE :A Learning Approach for Low-Complexity Optimization of Energy Efficiency in Multicarrier Wireless Networks - 2018ABSTRACT:This Project proposes computationally efficient algorithms to maximise the energy efficiency
PROJECT TITLE :Low-Complexity VLSI Design of Large Integer Multipliers for Fully Homomorphic Encryption - 2018ABSTRACT:Giant integer multiplication has been widely employed in fully homomorphic encryption (FHE). Implementing possible

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry