Optimum power allocation for a V-BLAST system with two antennas at the transmitter

Kalbasi, Reza; Falconer, D.D.; Banihashemi, Amir H.

doi:10.1109/lcomm.2005.1506716

Cited by 23 publications

(25 citation statements)

References 7 publications

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“…When feedback is present, transmit power allocation (TPA) allows us to obtain a performance improvement [4]. The TPA problem has been investigated in [4], [5], [6]. All such approaches consider, as a performance criterion to be optimized, the instantaneous probability of symbol or vector error subject to a constraint on the total average transmitted power.…”

Section: Introductionmentioning

confidence: 99%

“…The main difficulty in dealing with the constrained minimization of instantaneous probabilities of error is the presence in their analytical expression of the complementary cumulative distribution function of the Gaussian noise (Q-function). For such schemes the optimization problem has been dealt with either by resorting to non-linear optimization methods [5] or approximating the Q-function as proposed in [4], [6].…”

Section: Introductionmentioning

confidence: 99%

“…The resulting TPA scheme assigns power to each transmit antenna considering very limited feedback from the receiver that consists of the average SNR and the order in which the substreams are detected. This introduces a further simplification compared to [4], [5], [6] where the information sent by the receiver consists of the power to be transmitted from each antenna according to the given channel realization.…”

Section: Introductionmentioning

confidence: 99%

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Transmit Power Allocation for V-BLAST Systems with ZF-OSIC Detection

Magarini

2006

2006 3rd International Symposium on Wireless Communication Systems

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Abstract-This paper proposes a new transmit power allocation (TPA) scheme for the Vertical Bell Layered Space Time (V-BLAST) system with zero-forcing ordered successive interference cancellation (ZF-OSIC) detection. The proposed TPA scheme is based on the minimization of the average probability of vector error subject to a constraint on the total average transmitted power. To derive the TPA algorithm, we consider the asymptotic approximation of the average probability of vector error that is valid at high signal-to-noise ratio. The resulting TPA scheme allocates powers to the transmit antenna elements considering very limited feedback from the receiver. Computer simulations are used to demonstrate the effectiveness of the proposed approach for a V-BLAST system with a maximum of four transmit and receive antenna elements.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Transmit Power Allocation for V-BLAST Systems with ZF-OSIC Detection

Magarini

2006

2006 3rd International Symposium on Wireless Communication Systems

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“…Based on (2), an exact BER analysis is possible in closed form [6]. We outline below the major results of this analysis, which further serve as a tool for optimization.…”

Section: System Model and The V-blast Algorithmmentioning

confidence: 99%

“…Its computational complexity is still large for many applications, and also the algorithm BER performance is degraded by the effect of error propagation. Thus, some modifications have been proposed to improve the algorithm in these directions [2]- [4].…”

Section: Introductionmentioning

confidence: 99%

Transmit Power Allocation for the V-Blast Algorithm

Kostina

Loyka

23rd Biennial Symposium on Communications, 2006

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Abstract-Optimum power allocation for the V-BLAST algorithm, which is based on various criteria (average and instantaneous block and total error rates (BLER and TBER)), is considered. Closed-form solutions are derived for high-SNR case in a Rayleigh fading channel. They are shown to be robust to small variations in allocated power and average SNR. It is demonstrated that the optimization "on average" is only slightly worse than the instantaneous one, albeit the latter requires an instantaneous feedback and hence is of higher complexity. The generic upper-bound for the SNR gain of any power allocation technique is derived. The BLER and TBER optimization criteria result in the same performance. Power optimization (of unordered BLAST) and optimal ordering result in almost the same performance improvement at high SNR.

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Reducing computational complexity using transmitter correlation value‐assisted schedulers in multiuser MIMO uplink

Gong

Cao

Kim

2011

Wireless Communications

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In this paper, a threshold bounded antenna selection scheduler (TBS) and a computational complexity bounded antenna selection scheduler (CCBS) are proposed to reduce computational complexity in multiple input multiple output (MIMO) uplink. In contrast to previous works, a spatially correlated MIMO channel model is considered and a transmitter correlation value (TCV) is newly introduced to assist the antenna selection in addition to the channel gain. For the TBS or CCBS, with predetermined threshold of TCV or ratio of successful antennas (RSAs), full searching (FS) and sub searching (SS) are applied more efficiently to user equipments (UEs) compared with previous schedulers. As a result, the number of candidate antennas in the scheduling set can be reduced, which translates into a lower computational complexity in terms of number of evaluated antenna combinations. Additionally, compared with the TBS, the peak computational complexity can be further reduced by the CCBS. Simulation results show that with proposed schedulers the computational complexity can be reduced by at least 50% with an acceptable compromise of capacity.

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Optimum power allocation for a V-BLAST system with two antennas at the transmitter

Cited by 23 publications

References 7 publications

Transmit Power Allocation for V-BLAST Systems with ZF-OSIC Detection

Transmit Power Allocation for V-BLAST Systems with ZF-OSIC Detection

Transmit Power Allocation for the V-Blast Algorithm

Reducing computational complexity using transmitter correlation value‐assisted schedulers in multiuser MIMO uplink

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