Downlink transmit beamforming in multi-usrr MIMO systems

Peel, C.B.; Spencer, Q.H.; Swindlehurst, A. Lee; Hochwald, Bertrand M.

doi:10.1109/sam.2004.1502906

Cited by 18 publications

(13 citation statements)

References 54 publications

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“…Each symbol is first multiplied by the transmit beamforming vector and then added to similar terms from other users, as given in Equation (1). The channel matrix H k operates on the common transmitted signals to result in the received vector as given by Equation (2). Finally, the receive beamforming provides the sufficient statistics given by Equation (3).…”

Section: Coordinated Interference-aware Beamformingmentioning

confidence: 99%

“…A number of transmission techniques have been proposed to utilize MIMO in practical systems for BCs where interference is the major impairment compared to the channel noise [2]. For such applications Dirty-paper coding (DPC) [3] is a capacity achieving and theoretically optimal technique that can transmit signal transparently through the interference.…”

Section: Introductionmentioning

confidence: 99%

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Low-Complexity Coordinated Interference-Aware Beamforming for MIMO Broadcast Channels

Salehi

2007

2007 IEEE 66th Vehicular Technology Conference

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A novel Coordinated Interference-aware Beamforming (CIB) technique for Multiple-Input-Multiple-Output (MIMO) Broadcast Channels (BC) is introduced. The CIB technique uses a method based on maximization of the Signal to Interference and Noise Ratio (SINR) at the front end of each receiver to balance the signal strength and the multi-user interference plus noise. This results in a closed form solution that can be used with any number of transmit and receive antennas. The resulting computational complexity is not more than well known non-iterative linear beamforming techniques. The new technique, even when equal power is assigned to each data stream, outperforms the sum rate achieved by the non-iterative linear beamforming techniques when employing waterfilling power allocation. Optimality of CIB is analyzed in some extreme cases of Signal to Noise Ratio (SNR) and the number of users. In contract to the intuition that Block Diagonalization Zero Forcing (BDZF) and other ZF techniques perform very well in large number of users since they are designed for canceling interuser interference, the sum rate of the proposed CIB grows faster than ZF. Additionally, the CIB provides more flexibility when employing further upper layer scheduling algorithms by supporting both diversity and spatial multiplexing for each user.

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Section: Coordinated Interference-aware Beamformingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Low-Complexity Coordinated Interference-Aware Beamforming for MIMO Broadcast Channels

Salehi

2007

2007 IEEE 66th Vehicular Technology Conference

View full text Add to dashboard Cite

show abstract

“…In [5], a narrowband system with P = 1 and H(z) = C[0] = constant is addressed. There, the precoder and equaliser are not of polynomial form and can be calculated by singular value decomposition (SVD) of C[0], or a sequence of SVDs in case the received signals cannot be jointly processed, resulting in a diagonalised system that therefore avoids CCI but does not impose ISI because of its narrowband nature.…”

Section: Precoder and Equalisermentioning

confidence: 99%

“…A considerable amount of research has focussed on the narrowband case, where e.g. [5] has shown that joint precoder and equaliser design can achieve much if deployed on their own, provided that the channel state information (CSI) can be made available to both sides of the transmission link. In the narrowband case the channel matrix can be diagonalised by means of mostly SVD-based operations.…”

Section: Introductionmentioning

confidence: 99%