PhD Defense: "Enabling Next Generation Mobile Communication via Millimeter Wave Technology"

Maryam Eslami Rasekh

September 12th (Thursday), 1:30pm
Harold Frank Hall (HFH), Rm 4164 (ECC Conf. Rm.)

Millimeter wave communication has the potential to deliver orders of magnitude improvement in cellular mobile capacity through vigorous spatial reuse. We envision wireless networks of the future as a dense deployment of mobile access points each serving tiny “picocells”, 10s of meters in diameter, through highly directional beams, and address some of the challenges in their realization.

We first consider the problem of backhaul support for the dense deployment of picocellular access points. Since wired backhauling (e.g., via optical fiber) is costly and time-consuming, we consider wireless mmWave or THz backhaul links, arranged as a mesh network that connects access points to wired gateways through multihop paths. We propose a framework for interference-aware optimization of such a network and quantify its downlink/uplink capacity.

Scaling array sizes, on the other hand, poses serious challenges both in signal processing and in hardware implementation. The narrow beams of large arrays require accurate user tracking that is fast enough to adapt to changes in the channel. We propose a noncoherent compressive channel estimation algorithm for low-overhead tracking of mobile users when limited to analog RF beamforming and simplified frontends that do not maintain phase coherence throughout the training interval.

We further develop an analytical framework for analyzing the effect of phase noise on mmWave multi-user massive MIMO with fully digital frontends. We consider a tiled architecture for scaling to large arrays that support a large number of simultaneous users, targeting per-user data rates of several Gbps. In this talk I will discuss the effects of phase noise on multiuser reception and outline the design framework developed from our analysis.

About Maryam Eslami Rasekh:

Maryam is a PhD candidate in the Wireless Communication and Sensornets Lab. Her research is in the area of mm wave communication and signal processing for multiple antenna systems

Hosted by: Professor Upamanyu Madhow