Reducing the computational complexity of multiple-antenna system using precoding techniques | |
| Author | Sowmya, Ganti V. |
| Call Number | AIT RSPR no.ICT-18-12 |
| Subject(s) | MIMO systems Signal processing--Digital techniques |
| Note | A research submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Information and Communication Technologies, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Research studies project report ; no. ICT-18-12 |
| Abstract | Multiple-Antenna system which is motivated from Massive Multiple-input and Multipleoutput (MIMO) is considered as a solution to the requirements of next generation cellular systems. MIMO is visualized to provide extensive upgrade in capacity, along with the complexity in computational as well as hardware. In this research, we study how to lower the complexity using the beamforming methods especially about a hybrid precoding method in which we deal with the traditional procedure known as zero-forcing precoding which provides optimal precoding in the domain of “Massive MIMO” Therefore, we suggest a precoding technique which is known as phased-ZF (PZF). It aim is only to control the phase at RF domain, and then executes a “low-dimensional baseband ZF precoding” depending on the essential channel from baseband perspective. The proposed scheme is executed in an “ideal Rayleigh fading channels” so that it produces highly desirable performance. The main drawback of massive MIMO is the raise in complexity in computing the precoding, particularly since the “relatively antenna-efficient regularized zero-forcing (RZF)” is chosen to simple MRT. We propose another class of precoder for “single-cell massive MIMO”. It is established on “truncated polynomial expansion (TPE)” and simulate the same advantages of RZF, while offering lower and extensible computational complexity that can be achievable in an acceptable pipelined fashion. By using random matrix theory we can implement a closed-form expression of the SINR under TPE precoding and by comparing it to with RZF. |
| Year | 2018 |
| Corresponding Series Added Entry | Asian Institute of Technology. Research studies project report ; no. ICT-18-12 |
| Type | Research Study Project Report (RSPR) |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Information and Communication Technology (ICT) |
| Chairperson(s) | Teerapat Sanguankotchakorn; |
| Examination Committee(s) | Attaphongse Taparugssanagorn;Poompat Saengudomlert,; |
| Scholarship Donor(s) | Asian Institute of Technology Fellowship; |
| Degree | Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 2018 |