We consider optimal filter-and-forward (FF) beamforming (BF) in multi-user peer-to-peer (MUP2P) relay networks with frequency selective fading in which the signals received at a destination are subject to severe inter...
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ISBN:
(纸本)9781467355773
We consider optimal filter-and-forward (FF) beamforming (BF) in multi-user peer-to-peer (MUP2P) relay networks with frequency selective fading in which the signals received at a destination are subject to severe inter-symbol interference (ISI) and multi-user interference (MUI). In the FF protocol, the amount of interference not only depends on the choice of the filter weights at the relays but also on the choice of a decodingdelay at the destinations. State-of-the-art methods assume the network to be perfectly synchronized and select the same fixed decodingdelay for all destinations. In a practical MUP2P scenario, however, users experience different path delays not only with respect to different relays but also with respect to other users. Hence, unlike in a conventional cellular network, perfect synchronization is impossible in practice and a common decodingdelay for all users is not a good choice. Therefore, we propose to jointly optimize the filter weights at the relays and the individual decodingdelays at the destinations to effectively mitigate ISI and MUI. The proposed method outperforms the existing approaches most significantly in asynchronous networks.
We consider optimal filter-and-forward (FF) beam-forming (BF) in multi-user peer-to-peer (MUP2P) relay networks with frequency selective fading in which the signals received at a destination are subject to severe inte...
详细信息
ISBN:
(纸本)9781467355766
We consider optimal filter-and-forward (FF) beam-forming (BF) in multi-user peer-to-peer (MUP2P) relay networks with frequency selective fading in which the signals received at a destination are subject to severe inter-symbol interference (ISI) and multi-user interference (MUI). In the FF protocol, the amount of interference not only depends on the choice of the filter weights at the relays but also on the choice of a decodingdelay at the destinations. State-of-the-art methods assume the network to be perfectly synchronized and select the same fixed decodingdelay for all destinations. In a practical MUP2P scenario, however, users experience different path delays not only with respect to different relays but also with respect to other users. Hence, unlike in a conventional cellular network, perfect synchronization is impossible in practice and a common decodingdelay for all users is not a good'choice. Therefore, we propose to jointly optimize the filter weights at the relays and the individual decodingdelays at the destinations to effectively mitigate ISI and MUI. The proposed method outperforms the existing approaches most significantly in asynchronous networks.
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