Beamforming for mmWave Systems
The main goal of this project is to understand the behavior of new generation (5G or mmWave) wireless communication channels in various environments and to propose beamforming methods for exploiting the antenna gains in a most efficient way and analyze the expected decrease in the interference (so the possibilities of frequency reuse) thanks to the directional communication. Basically, the project aims to minimize the key parameters in a mmWave communication link such as power, interference, cost, latency, outage while maximizing the throughput, rate, coverage, spectral efficiency.
High demand for internet usage makes the current microwave communication frequencies inadequate. The world is now preparing for the new communication band of higher frequencies, namely the mmWave band. The most significant drawback of the mmWave frequencies is the high path loss within relatively small distances. To overcome this, antenna gains are planned to be increased using beamforming methods. However, for a fast, reliable alignment as well as the tracking of that beamformed link between devices, one should carefully understand the channel and optimize the sources accordingly which makes the problem even harder.
Project is divided into several steps: estimate the channel, design the antenna array, design codebooks, approximate the antenna array responses to the codebooks, approximate the codebooks to the channel parameters, analyze the link performance calculating the outage probability, error in approximations, power, latency, etc. Also, in order to maximize the usage of channel state information, adaptive systems are planned to be designed. Overall network performance after a number of iteration will be the key parameter.
We have already published two papers [1,2] studying two beamforming methods that speed up the training setup between two devices. Those algorithms can be applied to any type of antenna, environment and beamforming design (analog, digital or hybrid). However, proposed protocols don’t use the channel state information which is the next step for us. Also MIMO systems will be considered to analyze the spatial availability of the channel.
Prof. Predrag Spasojevic
spasojev (AT) winlab (DOT) rutgers (DOT) edu
Y. Yaman and P. Spasojevic. Reducing the LOS ray beamforming setup time for IEEE 802.11ad and IEEE 802.15.3c MILCOM 2016. 2016 IEEE Military Communications Conference, Baltimore, MD, 2016, pp. 448-453.
Y. Yaman and P. Spasojevic. Enhanced Binary Search Time-Efficient mmWave Beamforming Algorithm for NLOS Environments. 2017 IEEE Wireless Communications and Networking Conference (WCNC), San Francisco, CA, 2017, pp. 1-6.