Opportunistic Transmission using Large Scale Channel Effects

This paper quantifies the multi-user wireless diversity benefit of basing opportunistic transmission on large scale shadowing. This technique is primarily aimed at wireless sensor nodes. The processing capability of these nodes is limited and transmissions between sensor nodes are very sporadic. It is therefore easier for these devices to track large scale shadowing variations than the small scale shadowing variations normally used for opportunistic transmission. This paper will derive closed form expressions that compare the average SNR improvement provided by opportunistic transmission when based on large scale and small scale channel effects. Closed form bit error rate (BER) expressions will also be used to illustrate that opportunistic transmission based on shadowing can achieve very good performance improvements for modestly sized scheduling groups and realistic indoor shadowing standard deviation values.

[1]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[2]  Ralf R. Müller,et al.  Hard Fairness Versus Proportional Fairness in Wireless Communications: The Single-Cell Case , 2007, IEEE Transactions on Information Theory.

[3]  Theodore S. Rappaport,et al.  Statistics of shadowing in indoor radio channels at 900 and 1900 MHz , 1992, MILCOM 92 Conference Record.

[4]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[5]  W. C. Jakes,et al.  Microwave Mobile Communications , 1974 .

[6]  Prabhata K. Swamee,et al.  Near Lognormal Distribution , 2002 .

[7]  Andrea J. Goldsmith,et al.  Adaptive resource allocation in composite fading environments , 2001, GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270).

[8]  Jamie S. Evans,et al.  Power control and multiuser diversity in multiple access channels with two time-scale fading , 2005, Third International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt'05).

[9]  Joseph Lipka,et al.  A Table of Integrals , 2010 .

[10]  JAMAL N. AL-KARAKI,et al.  Routing techniques in wireless sensor networks: a survey , 2004, IEEE Wireless Communications.

[11]  Edwin K. P. Chong,et al.  Unified spatial diversity combining and power allocation for CDMA systems in multiple time-scale fading channels , 2001, IEEE J. Sel. Areas Commun..

[12]  Mohamed-Slim Alouini,et al.  On the Capacity-Fairness Tradeoff in Multiuser Diversity Systems , 2007, IEEE Transactions on Vehicular Technology.

[13]  Laurence B. Milstein,et al.  Average SNR of a generalized diversity selection combining scheme , 1999, IEEE Communications Letters.

[14]  Reiner S. Thomä,et al.  Correlation Properties of Large Scale Fading Based on Indoor Measurements , 2007, 2007 IEEE Wireless Communications and Networking Conference.