Optimization of Channel Precoding for MM wave Massive MIMO using Hybrid Precoding
A. Mounika Durga1, Shaik. Jakeer Hussain2
1A. Mounika Durga, Vignan’s Foundation for Science, Technology and Research, Vadlamudi, Guntur (Andhra Pradesh), India.
2Shaik. Jakeer Hussain, Vignan’s Foundation for Science, Technology and Research, Vadlamudi, Guntur (Andhra Pradesh), India.
Manuscript received on 13 February 2019 | Revised Manuscript received on 04 March 2019 | Manuscript Published on 08 June 2019 | PP: 232-236 | Volume-7 Issue-5S4, February 2019 | Retrieval Number: E10460275S419/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Mm wave communication system encounters the higher path loss than the microwave communication system. To defeat the path loss problem massive number of antennas with low wavelength are deployed at transmitter and receiver side. To transmit multiple data streams and to get better spectral efficiency precoding is required. Developing the hybrid Precoding is economically high and consumes more power and it is divided in to analog and digital parts. Due to the presence of large antennas and analog part in the hybrid precoding, mm wave massive MIMO requires some special algorithms to do the channel estimation and precoding. To construct the sparse Precoding and combining problems in mm wave massive MIMO we are considering the channel as spatial structure. In this paper sparse precoding is designed based on the orthogonal basis pursuit algorithm for mm wave massive MIMO by using optimal unconstrained precoder.
Keywords: Mm Wave Massive MIMO, Channel Estimation, Precoding, Orthogonal Basis Pursuit.
Scope of the Article: Discrete Optimization