A Downlink Tracking Algorithm by Adapting the Beamspace Weights of the Transmit Antenna

Hussain, Syed Shah Irfan; Sheikh, Morteza

doi:10.1109/icee.2007.4287349

Cited by 2 publications

(3 citation statements)

References 11 publications

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“…Therefore, the power delivered to the receiver by the pilot weights in (17) and (18) is dependent upon their direction rather than their magnitudes. The mobile receiver will sum P for all the respective even and odd slots in the ith interval and then compare them as follows: (19) Feedback to the base station becomes as follows…”

Section: At the Mobile Receivermentioning

confidence: 99%

“…In [19], an innovative approach based on an Adaptive Transmit Beamspace Beamformer (ATBBF) was proposed for downlink beamforming. In an ATBBF multiple streams of a user signal are equal to the number of transmit beamformers with each stream assigned to a TB.…”

Section: Introductionmentioning

confidence: 99%

“…Updating a beamspace weight results in altering only the magnitude of this beam pattern, while its steered direction remains constant. The Gradient Sign Feedback (GSF) algorithm [8] was modified so that instead of updating antenna weights of the TB, beamspace weights of the ATBBF were updated [19]. Comparisons between this ATBBF and a TB with GSF algorithm for a static channel showed an approximately similar performance [19].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Tracking Performance of an Adaptive Transmit Beamspace Beamformer in Dynamic Miso Wireless Channels

Hussain¹,

Bigham²,

Parini³

et al. 2011

PIER C

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This paper presents the performance of an Adaptive Transmit Beamspace Beamformer (ATBBF) in a dynamic channel for Multiple Input Single Output (MISO) per user wireless system. An ATBBF consists of several transmit beamformers on the Transmit Antenna Array (TAA). The antenna weights of each Transmit Beamformer (TB) are held constant while its input is weighted by an adaptive beamspace weight. A Beamspace Gradient Sign Feedback (BGSF) algorithm updates these beamspace weights. The performance metric of an ATBBF is derived and analyzed in a dynamic channel undergoing Rayleigh fading independently at the antennas. A performance comparison between an ATBBF and a TB having adaptive antenna weights is made in terms of convergence and tracking of various slow and fast fading channels by simulations. Both Full Dimension (FD) and Reduced Dimension (RD) ATBBFs are considered. Comparisons show that the FD ATBBF gives a performance equivalent to that of a TB and outperforms the RD ATBBF. Thus the FD ATBBF can provide beamforming gain and fading diversity similar to that of a TB. Furthermore, the performance of the FD ATBBF improves on increasing the number of antenna elements of the TAA.

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Section: At the Mobile Receivermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%