Energy Efficiency Enhancement of Ultra Dense Multiuser MIMO System by Using Wyner Model

In modern wireless communication, energy consumption has emerged as a major problem for wireless network operators. With the advent of fifth generation (5G) wireless communication, energy efficiency (EE), one of key performance measurement indicators of wireless networks, has gained recognition. Multi-user multiple-input multiple-output (MU-MIMO) and cell densification are some of the most recent techniques that have proven to be highly effective in maximizing the EE of 5G wireless communications. Most of the research has been done on either MIMO or ultra-dense network (UDN), utilizing different precoding techniques. However, works that consider MU-MIMO, UDN, and precoding techniques jointly are rarely investigated. The cooperative design of UD MU-MIMO systems using the Wyner model, taking into account the power needs of the base station, user equipment, and the coverage area to increase the EE is the concern of this research. In this research, the optimal partial zero forcing (p-ZF) processing is used to deploy the combination of MU-MIMO and UDN with Wyner model. Numerical results show that the design consisting of the combination of MU-MIMO, UDN and precoding techniques (p-ZF) is more energy efficient compared to MU-MIMO with normalized p-ZF precoding.