Open AccessPower Allocation in 5G mmWave Networks with Massive MIMO and Block Diagonalization
Author(s) -
Maged Fikry,
Shawki Shaaban,
N Esmail,
Marwa Abdelkarim
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1447/1/012026
Subject(s) - telecommunications link , precoding , mimo , sequential quadratic programming , computer science , interference (communication) , power (physics) , block (permutation group theory) , channel (broadcasting) , transmitter power output , mathematical optimization , efficient energy use , electronic engineering , quadratic programming , telecommunications , mathematics , transmitter , engineering , electrical engineering , physics , geometry , quantum mechanics
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.