Ph.D. Final Examination Dissertation Defense
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Date: Tue, April 16, 2019
Time: 9:00am - 11:00am
Location: Holmes 389
Speaker: Mirza Uzair Baig
Abstract: In this talk we will discuss minimizing energy and interference in information networks. We investigate this via multiple setups. With the proliferation of mobile devices, such as smart phones and tablet PCs, wireless communications are increasingly used to serve traffic with stringent delay constraints. Therefore, providing stringent delay guarantees becomes an important challenge for enhancing the quality of service (QoS) of end users. We present how energy and delay are characterized in a typical streaming setup with strict QoS constraints. We also lay a practical framework of mitigating interference between symmetric users using practical discrete modulation framework. This is also an initial step towards energy minimization as currently interference in communication channels is the inherent bottleneck for low power devices. We discuss how a simple Pulse Amplitude Modulation (PAM) strategy cane effectively be used to align signals from multiple interferes to achieve optimum sum rates of transmission (in the infinite signal-to-noise ratio (SNR) regime). Finally, we look at yet another setup of minimizing energy and interference in information networks. Using discrete inputs, we propose almost optimum strategies for communicating over constrained interference channels i.e. the encoder and/or decoder are forced to operate in a minimalist fashion. This model assumption is motivated by the need to lower the energy (cost) involved in encoding and decoding transmissions in practical communications.
Date: Tue, April 16, 2019
Time: 9:00am - 11:00am
Location: Holmes 389
Speaker: Mirza Uzair Baig
Abstract: In this talk we will discuss minimizing energy and interference in information networks. We investigate this via multiple setups. With the proliferation of mobile devices, such as smart phones and tablet PCs, wireless communications are increasingly used to serve traffic with stringent delay constraints. Therefore, providing stringent delay guarantees becomes an important challenge for enhancing the quality of service (QoS) of end users. We present how energy and delay are characterized in a typical streaming setup with strict QoS constraints. We also lay a practical framework of mitigating interference between symmetric users using practical discrete modulation framework. This is also an initial step towards energy minimization as currently interference in communication channels is the inherent bottleneck for low power devices. We discuss how a simple Pulse Amplitude Modulation (PAM) strategy cane effectively be used to align signals from multiple interferes to achieve optimum sum rates of transmission (in the infinite signal-to-noise ratio (SNR) regime). Finally, we look at yet another setup of minimizing energy and interference in information networks. Using discrete inputs, we propose almost optimum strategies for communicating over constrained interference channels i.e. the encoder and/or decoder are forced to operate in a minimalist fashion. This model assumption is motivated by the need to lower the energy (cost) involved in encoding and decoding transmissions in practical communications.