Power Allocation in 5G mmWave Networks with Massive MIMO and Block Diagonalization

In this paper, we consider an energy-efficient downlink power allocation problem of a massive multiple-input multiple -output (MIMO) system in cellular networks. We propose a new technique that uses block diagonalization (BD) precoding with massive MIMO in 5G networks that employs milli-meter wave (mmWave) channel matrix to reduce the level of interference. A power allocation algorithm is then introduced by increasing the energy efficiency (EE) of the system to obtain optimal downlink power values using sequential quadratic programming (SQP) algorithm. The results reveal that using BD reduces the interference level and hence, increases the energy.