Impact of Linear and Nonlinear Channel Equalization Algorithms on User Achievable Rates and Energy Efficiency on Uplink Large Scale MIMO Techniques for Next Generation Networks
Journal Title: American journal of Engineering Research - Year 2018, Vol 7, Issue 6
Abstract
In multiuser wireless communication systems, interference and fading are two key factors that impact the energy efficiency and user data transmission capacity which can be deal with by means of channel equalization. In this paper, the influence of linear and non-linear channel equalization on single cell MIMO system with equivalent dimensions of antennas at the receiver and transmitter is demonstrated. Specifically, the achievable rates and energy efficiencyperformances of four channel equalization algorithms which includes the minimum-mean-square-error (MMSE), zero forcing (ZF), Zero forcing successive interference-cancellation (ZF-SIC) and minimum-mean-square-error successive interference-cancellation (MMSE-SIC) are studied extensively through computer simulations. Our results indicates that the non-linear MMSE-SIC and ZF-SIC equalization schemes outperform the linear ones by 24 to 29% in terms user achievable rates and energy efficiency. This can be justified by the fact that the linearchannel equalization schemes does not fully suppress interference among users for enhanced data transmission compared to nonlinear schemes which exploit extra signal processing techniques by means of SIC to provide improved user information transmission thereby delivering higher performance gains at the receivers.
Authors and Affiliations
Joseph Isabona, Kingsley Obahiagbon
Keywords
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