VERSATILITY IN THE MODERN PERFORMER: THREE DIVERSE OPERA ROLES

This dissertation project consisted of performances of three diverse operatic roles. The goal was to examine the challenges and benefits of performing diverse repertoire (baroque, classical, and romantic opera, in this case) and to observe how vocal and acting techniques might adjust to different styles and voice classifications. On December 3, 5, 11, and 13,2003, I performed a composite role in Fatal Song, directed by Leon Major, in the Robert & Arlene Kogod Theatre. This opera pastiche, premiered in 1996, contains spoken dialogue, and the music originates from famous eighteenth and nineteenth-century operas. I explored the challenges and benefits of playing three different, well-known opera characters within the same opera, performing four different languages within the same opera, and performing spoken dialogue in an opera. My roles in this pastiche of famous opera included Lucia from Lucia di Lammermoor by Gaetano Donizetti, Manon from Manon by Jules Massenet, and Pamina from Die ZauberJlote by W.A. Mozart. On January 28 and 29, 2005, I performed the role of Nice in Eurilla e Alcindo, a serenata by Antonio Vivaldi, in Homer Ulrich Recital Hall; musical direction by Joseph Gascho and stage direction by Kate Vetter Cain. I explored the challenges and benefits of preparing baroque ornamentation, singing without a conductor, performing an unknown work, staging a work that is not traditionally staged, singing with minimal sets and costumes, and singing with period instruments. On April 16,20, and 24,2005, I performed the role of Musetta in Giacomo Puccini's La BohBme, directed by Pat Diamond and conducted by Jeffrey Rink, in the Ina & Jack Kay Theatre. I examined the challenges and benefits of singing with a large orchestra of modem instruments, singing Puccini rubato and coordinating this with the conductor, and singing a role in one of the most well-known operas in today's repertoire. As a result of this investigation, I concluded that singing different styles, and singing outside one's voice classification, within reason, is beneficial. The knowledge, skill, confidence and insight I acquired by becoming more versatile benefited me as a performer and as a teacher.

COMPRESSIVE QUANTIZATION FOR SCALABLE CLOUD RADIO ACCESS NETWORKS

With the proliferation of new mobile devices and applications, the demand for ubiquitous wireless services has increased dramatically in recent years. The explosive growth in the wireless traffic requires the wireless networks to be scalable so that they can be efficiently extended to meet the wireless communication demands. In a wireless network, the interference power typically grows with the number of devices without necessary coordination among them. On the other hand, large scale coordination is always difficult due to the low-bandwidth and high-latency interfaces between access points (APs) in traditional wireless networks. To address this challenge, cloud radio access network (C-RAN) has been proposed, where a pool of base band units (BBUs) are connected to the distributed remote radio heads (RRHs) via high bandwidth and low latency links (i.e., the front-haul) and are responsible for all the baseband processing. But the insufficient front-haul link capacity may limit the scale of C-RAN and prevent it from fully utilizing the benefits made possible by the centralized baseband processing. As a result, the front-haul link capacity becomes a bottleneck in the scalability of C-RAN. In this dissertation, we explore the scalable C-RAN in the effort of tackling this challenge. In the first aspect of this dissertation, we investigate the scalability issues in the existing wireless networks and propose a novel time-reversal (TR) based scalable wireless network in which the interference power is naturally mitigated by the focusing effects of TR communications without coordination among APs or terminal devices (TDs). Due to this nice feature, it is shown that the system can be easily extended to serve more TDs. Motivated by the nice properties of TR communications in providing scalable wireless networking solutions, in the second aspect of this dissertation, we apply the TR based communications to the C-RAN and discover the TR tunneling effects which alleviate the traffic load in the front-haul links caused by the increment of TDs. We further design waveforming schemes to optimize the downlink and uplink transmissions in the TR based C-RAN, which are shown to improve the downlink and uplink transmission accuracies. Consequently, the traffic load in the front-haul links is further alleviated by the reducing re-transmissions caused by transmission errors. Moreover, inspired by the TR-based C-RAN, we propose the compressive quantization scheme which applies to the uplink of multi-antenna C-RAN so that more antennas can be utilized with the limited front-haul capacity, which provide rich spatial diversity such that the massive TDs can be served more efficiently.