With the limited wireless spectrum and the ever-increasing demand for wireless
services, two issues are pressing and difficult: efficient spectrum utilization and heterogeneous traffic management. Throughput and utility maximization problems are
proposed to quantify these two issues. To exploit the wireless spatial multiplex gain,
concurrent transmissions, if controlled appropriately, can lead to overall higher network
throughput as well as utility. The optimal scheduling and power control for
concurrent transmissions in rate-adaptive wireless networks is a very challenging NPhard
problem. In the thesis, we propose efficient power allocation and scheduling
algorithms for concurrent transmissions which can improve network throughput and
utility with fairness consideration. We first formulate the optimal power allocation
and scheduling problem for network throughput and utility maximization individually,
and convert the original non-convex problems into a series of convex problems
using a two-phase approximation. Then, we propose power and channel allocation
with fairness for network throughput maximization (PCAF-NTM) and for network
utility maximization (PCAF-NUM) algorithms to solve the converted problems. Extensive
simulation results show the substantial improvement in terms of both network
throughput and utility, comparing to the previous scheduling algorithms. / Graduate
| Identifer | oai:union.ndltd.org:uvic.ca/oai:dspace.library.uvic.ca:1828/3554 |
| Date | 06 September 2011 |
| Creators | Ma, Bojiang |
| Contributors | Cai, Lin, Gulliver, T. Aaron |
| Source Sets | University of Victoria |
| Language | English, English |
| Detected Language | English |
| Type | Thesis |
| Rights | Available to the World Wide Web |
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