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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Djonin, D.V. Tarasak, P. Bhargava, V.K. |
| Copyright Year | 2003 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada (Djonin, D.V.; Tarasak, P.; Bhargava, V.K.) |
| Abstract | The usage of multichannel receivers that are followed by diversity combining can significantly improve the performance of wireless communications links. In this paper we investigate in some detail two popular techniques for diversity combining, namely maximal ratio combining (MRC) and equal gain combining (EGC). The main goal is to investigate under which circumstances it can be guaranteed that a certain technique does indeed decrease the probability of error of a multichannel receiver. The analyzed fading model is quite general with the only assumption that fading gains are scaled exchangeable random variables. The crucial mathematical tool used to produce the results of this paper is the powerful theory of stochastic majorization. Among other results, it was shown that the average bit error probability of the MRC receiver with equally distributed average powers always decreases with the addition of a new diversity branch if the total power is fixed. |
| Starting Page | 1659 |
| Ending Page | 1663 |
| File Size | 258558 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780379748 |
| DOI | 10.1109/GLOCOM.2003.1258519 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-12-01 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Diversity reception Fading Random variables Stochastic processes Performance analysis Delay Signal to noise ratio Wireless communication Error probability Digital communication |
| Content Type | Text |
| Resource Type | Article |
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