par Nsenga, Jimmy;Van Thillo, Wim;Ramon, Valéry;Bourdoux, André 
;Horlin, François ;Lauwereins, Rudy
Référence (14-18 June, 2009: Dresden, Germany), Proc. of the IEEE International Conference on Communications, ICC
Publication Publié, 2009-06
;Horlin, François ;Lauwereins, RudyRéférence (14-18 June, 2009: Dresden, Germany), Proc. of the IEEE International Conference on Communications, ICC
Publication Publié, 2009-06
Publication dans des actes
| Résumé : | Analog beamforming (ABF) with one scalar weight per antenna is an attractive technique for low-cost, low-power 60 GHz multi-antenna wireless communication systems. However, the design of the corresponding joint transmit and receive (Tx/Rx) ABF optimization algorithms is still challenging in the case of multipath channels due to the constraint of having only one scalar weight per antenna. In this paper, we aim at maximizing the average signal to noise ratio (SNR) at the input of the equalizer and analytically derive close-to-optimal Tx/Rx scalar weights. We show that the required channel state information (CSI) for joint Tx/Rx ABF weights computation is the inner product between all Tx/Rx channel impulse response pairs. Taking the channel length into account, a training-based estimation strategy of this CSI is proposed. Simulation results carried out in a typical 60 GHz multipath environment show that the proposed scheme outperforms the existing ABF schemes in term of BER performances. |
