Power minimization under constant throughput constraint in wireless networks with beamforming

Han, Zhu; Liu, K.J.R.

doi:10.1109/vetecf.2002.1040417

Cited by 7 publications

(4 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many adaptive algorithms [1], [2], [3], [4] have been developed to decrease the system complexity. If the spectral radius ρ(BF) is less than 1, the optimal power vector exists and the following decentralized iteration converges to the optimal power vector.…”

Section: B Traditional Power Control With Mvdr Beamformingmentioning

confidence: 99%

See 1 more Smart Citation

Joint power control and blind beamforming in wireless networks

Han

Liu

2003

IEEE International Conference on Communications, 2003. ICC '03.

Self Cite

View full text Add to dashboard Cite

Abstract-Traditional power control with beamforming achieves a targeted Signal-to-Interference-Noise-Ratio (SINR) in wireless networks assuming measurement of SINR and direction of arrival (DOA) at the receivers. Blind beamforming is an emerging technique for DOA measurement without consuming extra bandwidth. Here we propose a joint power control and blind beamforming algorithm that reformulates the power control problem and, importantly, does not need additional measurements or sending training sequences. In contrast to traditional power control that achieves a targeted SINR threshold, the scheme achieves a threshold on a quantity available from blind beamforming, which is directly related to bit error rate. We have shown in both analysis and simulation results that the algorithm converges to the desired solution.

show abstract

Section: B Traditional Power Control With Mvdr Beamformingmentioning

confidence: 99%

“…Power control is one direct approach towards minimizing co-channel interference [1], [2], [3], [4]. The transmitted powers are constantly adjusted.…”

Section: Introductionmentioning

confidence: 99%

Joint power control and blind beamforming in wireless networks

Han

Liu

2003

IEEE International Conference on Communications, 2003. ICC '03.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Little work [5], [6] has applied adaptive modulation and adaptive bandwidth allocation to the problem of minimising the transmit power for inelastic traffic, which is the topic of the present paper. We provide a simple, abstract model that allows us to consider a tradeoff between degrees of freedom (spectrum) and signal to interference ratio (spectral efficiency).…”

Section: Introductionmentioning

confidence: 99%

“…This approach is in contrast to Han and Liu's centralised channel-state-aware scheme [5], which continually varies the allocation of degrees of freedom (time slots) to achieve a target average rate.…”

Section: Introductionmentioning

confidence: 99%

Joint Allocation of Transmit Power Levels and Degrees of Freedom to Links in a Wireless Network

Thanabalasingham¹,

Hanly²,

Andrew³

2005 Australian Communications Theory Workshop

View full text Add to dashboard Cite

In this paper, we study a wireless network that has constant or slow-varying data rate requirements. The transmitters transmit to multiple receivers. The allocation of degrees of freedom (orthogonal codes, spectrum or timeslots) is based on a weight vector that is associated with each transmitter. The weight vector will specify how the degrees of freedom should be shared between the receivers associated with the transmitter. This model applies not only to the downlink of a cellular network, but also to more general wireless networks, including multi-hop networks. We devise two distributed algorithms in order to determine the minimal power allocation for the transmitters that will meet the data rate requirement between each transmitterreceiver pair. The main feature of our algorithms is that they can be executed at each transmitter independently with local information.

show abstract