Low-cost, application-aware, high-fidelity methods for 5G systems and beyond

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Mobile networks are currently in an era of unprecedented traffic growth and consumer interest. To account for the mismatch between bandwidth supply and demand, the upcoming fifth generation (5G) of networks must be orders of magnitude more capable and reliable. This is expected to require increasingly diversified technologies, including heterogeneous networks, densification, massive multiple-input, multiple output (MIMO), and possibly millimeter-wave systems. Moreover, in the next generation, mobile networks will be required to sustain new forms of traffic such as many, potentially millions of, low-power devices communicating with each other.Meeting the requirements of 5G networks, and looking beyond 5G, raises enormous challenges. Much of the recent research has focused on the design of wireless networks from an equipment vendor's perspective, but relatively little has focused on the problems of wireless providers, such as our industrial partner, TELUS. Service providers like TELUS must contend with a growing proliferation of applications and wide variations in users' demands, such as likely low-rate internet of things (IoT) [3], device to device (D2D) communication [4], voice (4G LTE provides for Voice-over-LTE or VoLTE) [5], and extremely high-rate enhanced multimedia broadcast. In this proposal, we directly address these challenges pursuing two research themes: in the first theme, we will investigate a few key aspects of in the use of unlicensed bands, which are both free to use and potentially provide more bandwidth than conventional licensed bands. We will address the key issue of interference for conventional services and the use of unlicensed bands for new services like IoT and D2D communications. In our second theme, we will investigate optimizing the use of licensed spectrum from two points of view - effective application aware resource allocation and investigating practical issues in large-scale wireless networks.