In this work, for a CDMA communication, the per user carrier-to-interference ratio (CINR) enhancement in the Reverse Link (mobile to base station) is analyzed using different antenna array spatial combining algorithms: Optimal Combining (OC) Versus Maximal Ratio Combining (MRC) in a multi-rate (combined voice and data users) multi-antenna scenario. The ratio of the CINR for OC vs. MRC is directly analyzed, i.e. Z=CINROC/CINRMRC. Exact solutions are derived for the statistics of a per user CINROC/CINRMRC improvement, as a function of the high-level interference power to background noise, the gain ratio CINROC/CINRMRC is evaluated in a flat Rayleigh fading communications system with multiple interferers, when the number of interferences L is no less than the number of antenna elements M (L ≥ M). The gain ratio is derived providing a simple means to determine when OC will exhibit significant gains over MRC. simulations are done to find out the BER performance of optimum combining diversity in correlated Nakagami-m channels and compare with the BER performance of MRC and the influence of interference for MRC and OC are analyzed and discussed
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In this work, for a CDMA communication, the per user carrier-to-interference ratio (CINR) enhancement in the Reverse Link (mobile to base station) is analyzed using different antenna array spatial combining algorithms: Optimal Combining (OC) Versus Maximal Ratio Combining (MRC) in a multi-rate (combined voice and data users) multi-antenna scenario. The ratio of the CINR for OC vs. MRC is directly analyzed, i.e. Z=CINROC/CINRMRC. Exact solutions are derived for the statistics of a per user CINROC/CINRMRC improvement, as a function of the high-level interference power to background noise, the gain ratio CINROC/CINRMRC is evaluated in a flat Rayleigh fading communications system with multiple interferers, when the number of interferences L is no less than the number of antenna elements M (L ≥ M). The gain ratio is derived providing a simple means to determine when OC will exhibit significant gains over MRC. simulations are done to find out the BER performance of optimum combining diversity in correlated Nakagami-m channels and compare with the BER performance of MRC and the influence of interference for MRC and OC are analyzed and discussed
Altaf Ahmed a student of Thapar University worked under the guidance of Amanpreetkaur and Rajesh Khanna. Amanpreet Kaur is an Assistant Proferssor and Dr.Rajesh Khanna is a professor at Thapar University Patiala. Their specialization are in the field of wireless Communications(MIMO technology and Antenna Diversity) and Antenna Design.
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kaur AmanpreetAltaf Ahmed a student of Thapar University worked under the guidance of Amanpreetkaur and Rajesh Khanna. Amanpreet Kaur is an Assistant Proferssor and Dr.Rajesh Khanna is a professor at Thapar University Patiala. Their . Nº de ref. del artículo: 5498342
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Taschenbuch. Condición: Neu. Performance of Optimal Combining versus Maximal RatioCombining: MIMO | Antenna Diversity performance comparison; OC or MRC in terms of Bit Error Rate & Carrier to interference noise ratio | Amanpreet Kaur (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783846549162 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 106437503
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