| Ran Zi, Huazhong University of Science and Technology (HUST), Wuhan, China |
| Tue 10 May 2016, 13:00 - 14:00 |
| AGB Seminar Room, AGB Building, King’s Buildings, EH9 3JL |
If you have a question about this talk, please contact: Iman Tavakkolnia (s1371647)
Abstract: Because of the large number of antennas in massive MIMO systems, a large number of radio frequency (RF) chains have to be employed. However, these RF chains not only increase the cost but also consume additional energy in the system. To tackle this problem, an energy efficiency optimization problem is formulated for the 5G massive MIMO and millimeter wave system. The energy efficient hybrid precoding (EEHP) algorithm and the EEHP with the minimum number of RF chains (EEHP-MRFC) algorithm are developed for maximizing the energy efficiency and reduce the cost of RF circuits. Further optimizations on the numbers of antennas and users are also discussed. Simulation results indicate the proposed algorithms greatly improve the system performance comparing with conventional algorithms.
Biography: Mr. Ran Zi is currently pursuing the Ph.D. degree at Huazhong University of Science and Technology (HUST), Wuhan, China. He received the B.E. degree in communication engineering and the M.S. degree in electronics and communication engineering from HUST, in 2011 and 2013, respectively. His research interests include MIMO systems, millimeter wave communications, and multiple access technologies. He is currently staying in University of Sheffield as a visiting scholar in Prof. Jie Zhang’s group.