Abstract
In the literature, much attention has been devoted to the analysis of maximal-ratio combining (MRC) whose diversity branches are subjected to the balanced noise levels. However, this paper considers the noise imbalanced MRC (NI-MRC), i.e., the multi-branch MRC whose diversity branches are together subjected to some significant imbalance of noise levels due to the estimation error of the noise power knowledges used to maximize combining the signals from diversity branches. To the best of our knowledge, this paper proposes the first analytical approach in the literature to exactly evaluate the bit error rate (BER) of binary modulation schemes over either correlated or uncorrelated fading channels. Based on moment generating function (MGF), the proposed approach is exemplified for the well-known correlated fading conditions, and verified by computer based simulations to elucidate the effect of noise imbalance (NI) on the BER performance.
Original language | English |
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Title of host publication | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1-4 |
Number of pages | 4 |
ISBN (Electronic) | 9781538615010 |
DOIs | |
Publication status | Published - 5 Jul 2018 |
Externally published | Yes |
Event | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 - Izmir, Turkey Duration: 2 May 2018 → 5 May 2018 |
Publication series
Name | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 |
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Conference
Conference | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 |
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Country/Territory | Turkey |
City | Izmir |
Period | 2/05/18 → 5/05/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Funding
This work was supported partially by Yildiz Technical University (YTÜ) and partially by King Abdullah University of Science and Technology (KAUST).
Funders | Funder number |
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YTÜ | |
King Abdullah University of Science and Technology | |
Yildiz Teknik Üniversitesi |
Keywords
- Imperfect noise variance knowledge
- Maximal ratio combining
- Moment-generating function
- Noise imbalance
- Symbol error probability