Exploiting Reconfigurable Antennas in Communication Systems with Delay-Sensitive Applications

Exploiting Reconfigurable Antennas in Communication Systems with Delay-Sensitive Applications. (December 2011) Eman Mahmoud Hammad, B.S., University of Jordan Chair of Advisory Committee: Jean-Francois Chamberland Wireless communication systems continue to face the challenge of time varying quality of the underlying communication channel. When a slow fading channel goes into a deep fade, the corresponding communication system might face successive decoding failures at the destination, and for delay-sensitive communication systems, this amounts to delays that are not desired. In such situations, it becomes a priority to get out of the deep fades. Many techniques and approaches are already available in the literature to counteract fading effects. This work is motivated by recent advances in fast reconfigurable antennas, which provide new means to change the statistical profile of fading channels, and hence reduce the probability of prolonged fades. Fast reconfigurable antennas are poised to improve overall performance, especially for delay-sensitive traffic in slow-fading environments. This potential enhanced performance motivates this study of the queueing behavior of point-to-point communication systems with reconfigurable antennas. We focus on finite-state channels with memory, and we analyze the queueing behavior of the wireless communication system over erasure channels, for a traditional system versus a reconfigurable antenna implementation. We provide numerical results for situations where using reconfigurable antennas yield substantial performance gains in terms of throughput, delay and buffer overflow.

[1]  Lizhong Zheng,et al.  Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels , 2003, IEEE Trans. Inf. Theory.

[2]  Dapeng Wu,et al.  Effective capacity: a wireless link model for support of quality of service , 2003, IEEE Trans. Wirel. Commun..

[3]  Parimal Parag,et al.  Resource Allocation and Quality of Service Evaluation for Wireless Communication Systems Using Fluid Models , 2007, IEEE Transactions on Information Theory.

[4]  Gerard J. Foschini,et al.  Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas , 1996, Bell Labs Technical Journal.

[5]  Hong Shen Wang,et al.  Finite-state Markov channel-a useful model for radio communication channels , 1995 .

[6]  Michael P Daly,et al.  Beamsteering in Pattern Reconfigurable Arrays Using Directional Modulation , 2010, IEEE Transactions on Antennas and Propagation.

[7]  W. Marsden I and J , 2012 .

[8]  Rüdiger L. Urbanke,et al.  Modern Coding Theory , 2008 .

[9]  Laurence B. Milstein,et al.  On the effect of imperfect interleaving for the Gilbert-Elliott channel , 1999, IEEE Trans. Commun..

[10]  B. Conolly Structured Stochastic Matrices of M/G/1 Type and Their Applications , 1991 .

[11]  E. O. Elliott Estimates of error rates for codes on burst-noise channels , 1963 .

[12]  Lang Tong,et al.  Betting on Gilbert-Elliot channels , 2010, IEEE Transactions on Wireless Communications.

[13]  Marwan Krunz,et al.  Bandwidth allocation in wireless networks with guaranteed packet-loss performance , 2000, TNET.

[14]  D. Vere-Jones Markov Chains , 1972, Nature.

[15]  J.T. Bernhard,et al.  Directional reconfigurable antennas on laptop computers: Simulation, measurement and evaluation of candidate integration positions , 2004, IEEE Transactions on Antennas and Propagation.

[16]  Abbas Jamalipour,et al.  Wireless communications , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[17]  Bruce Hajek,et al.  Birth-and-death processes on the integers with phases and general boundaries , 1982, Journal of Applied Probability.

[18]  Gordon L. Stuber,et al.  Principles of Mobile Communication , 1996 .

[19]  Marwan Krunz,et al.  Fluid analysis of delay and packet discard performance for QoS support in wireless networks , 2001, IEEE J. Sel. Areas Commun..

[20]  R. Stephenson A and V , 1962, The British journal of ophthalmology.

[21]  E. Gilbert Capacity of a burst-noise channel , 1960 .

[22]  Theodore S. Rappaport,et al.  Wireless communications - principles and practice , 1996 .

[23]  P. Sadeghi,et al.  Finite-state Markov modeling of fading channels - a survey of principles and applications , 2008, IEEE Signal Processing Magazine.

[24]  Claude E. Shannon,et al.  Certain Results in Coding Theory for Noisy Channels , 1957, Inf. Control..