Exploring Performance Limits of Wireless Networks with Advanced Communication Technologies
| dc.contributor.author | Qin, Xiaoqi | en |
| dc.contributor.committeechair | Hou, Yiwei Thomas | en |
| dc.contributor.committeemember | Lou, Wenjing | en |
| dc.contributor.committeemember | Midkiff, Scott F. | en |
| dc.contributor.committeemember | Reed, Jeffrey H. | en |
| dc.contributor.committeemember | Shi, Yi | en |
| dc.contributor.committeemember | Yang, Yaling | en |
| dc.contributor.department | Electrical and Computer Engineering | en |
| dc.date.accessioned | 2016-10-14T08:00:19Z | en |
| dc.date.available | 2016-10-14T08:00:19Z | en |
| dc.date.issued | 2016-10-13 | en |
| dc.description.abstract | Over the past decade, wireless data communication has experienced a phenomenal growth, which is driven by the popularity of wireless devices and the growing number of bandwidth hungry applications. During the same period, various advanced communication technologies have emerged to improve network throughput. Some examples include multi-input multi-output (MIMO), full duplex, cognitive radio, mmWave, among others. An important research direction is to understand the impacts of these new technologies on network throughput performance. Such investigation is critical not only for theoretical understanding, but also can be used as a guideline to design algorithms and network protocols in the field. The goal of this dissertation is to understand the impact of some advanced technologies on network throughput performance. More specifically, we investigate the following three technologies: MIMO, full duplex, and mmWave communication. For each technology, we explore the performance envelope of wireless networks by studying a throughput maximization problem. | en |
| dc.description.abstractgeneral | As everyone knows, we are now living in a connected world, where network access is available anytime and anywhere. According to Cisco’s report [97], global Internet traffic is expected to reach 2.3 zettabytes per year by 2020, and wireless data traffic will account for 65% of the total Internet traffic. There are three primary contributors for the explosive growth of wireless data demand: the rising number of wireless devices, the increasing number of new applications, and the evergrowing amount of video traffic. Each year, all kinds of smart devices with increased intelligence are introduced in market. The number of wireless devices is predicted to reach 11.6 billion by 2020 [97]. The smart devices enable people to enjoy mobile applications for entertainment, such as social networking, video streaming, and gaming. Such bandwidth hungry applications have changed the wireless data consumption pattern. According to Ericssons report [98], video traffic dominates the mobile data consumption for all kinds of mobile devices. Moreover, the amount of video traffic is still growing more than 50 % annually. To meet the ever-growing traffic demand, innovative technologies have been developed to expand the capacity of wireless networks. Some examples include multi-input multi-output (MIMO), full duplex, cognitive radio, mmWave, ultra-wideband, among others. In this dissertation, we aim to investigate the impact of such advanced technologies on network throughput performance. Such theoretical study is critical since it can be used as a guidline to design real-world network protocols. | en |
| dc.description.degree | Ph. D. | en |
| dc.format.medium | ETD | en |
| dc.identifier.other | vt_gsexam:8917 | en |
| dc.identifier.uri | http://hdl.handle.net/10919/73215 | en |
| dc.publisher | Virginia Tech | en |
| dc.rights | In Copyright | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.subject | Wireless network | en |
| dc.subject | MIMO | en |
| dc.subject | interference cancellation | en |
| dc.subject | full duplex | en |
| dc.subject | mmWave communication | en |
| dc.subject | modeling and optimization | en |
| dc.subject | algorithm design | en |
| dc.title | Exploring Performance Limits of Wireless Networks with Advanced Communication Technologies | en |
| dc.type | Dissertation | en |
| thesis.degree.discipline | Computer Engineering | en |
| thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
| thesis.degree.level | doctoral | en |
| thesis.degree.name | Ph. D. | en |
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