2009 IEEE International Conference on Communications 2009
DOI: 10.1109/icc.2009.5199114
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Joint Linear Filter Design in Multi-User Non-Regenerative MIMO-Relay Systems

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Cited by 24 publications
(57 citation statements)
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“…Wireless relays are essential to provide reliable transmission, high throughput, and broad coverage for next generation wireless networks. The http://asp.eurasipjournals.com/content/2012/1/186 MU MIMO communication system, where a single source, a base station (BS), communicates with a group of user terminals (UTs) over a single RN was investigated in [11][12][13][14]. The optimum design of non-regenerative relays for MU MIMO relay systems in [11] is based on sum rate optimization.…”
Section: Introductionmentioning
confidence: 99%
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“…Wireless relays are essential to provide reliable transmission, high throughput, and broad coverage for next generation wireless networks. The http://asp.eurasipjournals.com/content/2012/1/186 MU MIMO communication system, where a single source, a base station (BS), communicates with a group of user terminals (UTs) over a single RN was investigated in [11][12][13][14]. The optimum design of non-regenerative relays for MU MIMO relay systems in [11] is based on sum rate optimization.…”
Section: Introductionmentioning
confidence: 99%
“…A novel iterative semidefinite programming-based algorithm is used for sum rate maximization. The problem of joint linear optimization of MIMO processing matrices at the RN and at the BS for both downlink (DL) and uplink (UL) in MU non-regenerative MIMO relay systems based on MMSE criterion was investigated in [14]. The resulting MIMO processing matrices are calculated iteratively, the nodes require the knowledge of global CSI, and the solution for one matrix is a function of the other MIMO processing matrix.…”
Section: Introductionmentioning
confidence: 99%
“…In [2,3], the optimal relay amplifying matrix maximizing the mutual information (MI) between the source and destination nodes was derived, assuming that the source covariance matrix is an identity matrix. In [4][5][6], the optimal relay amplifying matrix was designed to minimize the mean-squared error (MSE) of the signal waveform estimation at the destination.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, multiple-input multiple-output (MIMO) relay communication systems have attracted much research interest and provided significant improvement in terms of both spectral efficiency and link reliability [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. Many works have studied the optimal relay amplifying matrix for the source-relay-destination channel.…”
Section: Introductionmentioning
confidence: 99%
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