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With rapid advances in wireless communication and networking, orthogonal frequency division multiplexing (OFDM) and multiple-input multiple-output antennas (MIMO) are often adopted in communication systems to create multiple parallel channels. To implement error control through retransmission of packets in a multichannel communication system, Automatic-Repeat-reQuest (ARQ) schemes have been generalized for parallel multichannel data communications. In this thesis, we develop two stochastic systems, denoted by MSW-ARQ and MSW-ARQ-inS, for modeling stop-and-wait ARQ over multiple channels with…mehr

Produktbeschreibung
With rapid advances in wireless communication and networking, orthogonal frequency division multiplexing (OFDM) and multiple-input multiple-output antennas (MIMO) are often adopted in communication systems to create multiple parallel channels. To implement error control through retransmission of packets in a multichannel communication system, Automatic-Repeat-reQuest (ARQ) schemes have been generalized for parallel multichannel data communications. In this thesis, we develop two stochastic systems, denoted by MSW-ARQ and MSW-ARQ-inS, for modeling stop-and-wait ARQ over multiple channels with either time-invariant or time-varying error rates. We evaluate their performance analytically and through simulation. We expect that the modeling technique and analysis approach proposed in this thesis can be applied to the performance evaluation of other ARQ protocols (e.g., selective- repeat ARQ) over multiple channels.
Autorenporträt
Jun Li received the M.Sc. and Ph.D. degrees from the School of Mathematics and Statistics of Carleton University, Canada, in 2003 and 2008, respectively. He has been a research scientist in the Communications Research Centre Canada since 2009. His research interests include modeling and analysis and siumulation for wireless networks.