This contribution analyzes the problem of multi-user interference suppression via estimation and subtraction. In particular it is shown that spatial diversity helps the suppression capability of a Base Station and this has an important impact on performance. By fact, we show that the best solution does not consist in transmit at maximum energy level but, in order to allow interference estimation and cancellation, a trade off has to be solved. So, interference suppression can give arise to performance improvements both for achieved throughput (that can be "enhanced") and for error probability (that can be reduced). Copyright 2006 ACM.
Interference suppression in MIMO systems for throughput enhancement and error reduction / Baccarelli, Enzo; Biagi, Mauro; C., Pelizzoni; Cordeschi, Nicola; F., Garzia. - STAMPA. - 2006:(2006), pp. 611-616. (Intervento presentato al convegno IWCMC 2006 - 2006 International Wireless Communications and Mobile Computing Conference tenutosi a Vancouver; Canada nel 3 July 2006 through 6 July 2006) [10.1145/1143549.1143671].
Interference suppression in MIMO systems for throughput enhancement and error reduction
BACCARELLI, Enzo;BIAGI, MAURO;CORDESCHI, Nicola;
2006
Abstract
This contribution analyzes the problem of multi-user interference suppression via estimation and subtraction. In particular it is shown that spatial diversity helps the suppression capability of a Base Station and this has an important impact on performance. By fact, we show that the best solution does not consist in transmit at maximum energy level but, in order to allow interference estimation and cancellation, a trade off has to be solved. So, interference suppression can give arise to performance improvements both for achieved throughput (that can be "enhanced") and for error probability (that can be reduced). Copyright 2006 ACM.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
