Name of the Speaker: Shashank Shekhar (EE17D022)
Guide: Dr. Sheetal Kalyani
Venue/Online meeting link: ESB-244 (Seminar Hall)
Date/Time: 16th March 2023, 2.30pm
As the demand for high-speed and reliable wireless communication continues to grow, energy efficiency has become a critical factor in the design of wireless networks. One emerging technology that has greatly interested the research community is the cell-free massive MIMO (multiple-input-multiple-output) architecture. Cell-free massive MIMO has been demonstrated to improve the performance over the small-cell schemes and thus is a promising technology capable of achieving the demands of 6G communication standards. However, while the system's capabilities are impressive, its high energy consumption presents a significant challenge in achieving energy-efficient wireless communication.
In this talk, we will focus on energy-efficient user-centric cell-free massive MIMO systems, which aim to maximize the network's sum rate while meeting the energy constraint. We will discuss the challenges in designing such systems, including the optimization of power coefficients of users and antenna selection coefficients at access points (APs). We will begin with a brief introduction to cell-free (CF) and user-centric cell-free massive MIMO (UC CF-mMIMO) and discuss our derived lower bound on the achievable uplink rate of users in a UC CF-mMIMO system in the presence of a mixed analog-to-digital converter (ADC) resolution profile at the APs. We will then describe our optimization problem mathematically. We will present an alternating optimization solution approach based on successive convex approximation (SCA) and binary particle swarm optimization (BPSO), which has shown to be an effective method. Additionally, we will discuss a complete meta-heuristic-based solution approach, which can be used as an alternative solution for applications where latency is the critical metric.
Please attend if you are interested to know more about user-centric cell-free massive MIMO.