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Energy & Interference Minimization in Information Networks

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Item Summary

Title:Energy & Interference Minimization in Information Networks
Authors:Baig, Mirza Uzair
Contributors:Høst-Madsen, Anders (advisor)
Electrical Engineering (department)
Keywords:Electrical engineering
Delay
Discrete Modulation
Energy
Information Theory
show 2 moreInterference Alignment
Interference Channel
show less
Date Issued:2019
Publisher:University of Hawai'i at Manoa
Abstract:This thesis deals with 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. In Chapter 1, we present how energy and delay are characterized in a typical streaming setup for applications with strict QoS constraints. We model the arrival of bits on a receiver and use finite blocklength theory results to aid in giving asymptotic bounds to infer the relationship between energy and delay.
We also lay a practical framework of mitigating interference between symmetric users using discrete modulation in Chapter 2. 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 can effectively be used to align signals from multiple interferers to achieve optimum sum rates of transmission (in the infinite signal-to-noise ratio (SNR) regime). In Section 2.1, we detail (existing and new) analytical and numerical lower bounds on the mutual information when using discrete inputs. Then in Section 2.3, we characterize the achievable sum-rate using PAM inputs and interference alignment for 3 user interference channels. Finally, in Section 2.4 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.
Description:Ph.D. Thesis. Ph.D. Thesis. University of Hawaiʻi at Mānoa 2019
Pages/Duration:82 pages
URI:http://hdl.handle.net/10125/63107
Rights:All UHM dissertations and theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission from the copyright owner.
Appears in Collections: Ph.D. - Electrical Engineering


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