Performance Comparison between Distributed Beamforming and Clustered Beamforming

Amini, Sahar; Na, Dongjun; Choi, Kwonhue

doi:10.1109/itng.2014.59

Cited by 5 publications

(7 citation statements)

References 17 publications

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“…Because we omit the error term of the delay in ideal TD systems, RPC does not affect their performance. The average error rate formula for the no-delay DTD system is calculated in our previous work as [4] …”

Section: Average Error Rate In No-delay Dtdmentioning

confidence: 99%

“…On the other hand, in DTD, these antennas are far apart and have different slow fading factors. Hence, in DTD, there is another diversity called macrodiversity, which is not available in CTD [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

“…This is prepared by the CSI feedback from the receiver side to the transmitter side [1][2][3][4][5][6]8]. The practical performance of CTD and DTD suffers from several kinds of imperfections in CSI such as the feedback loop delay.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Distributed Transmit Diversity with Outdated Diversity Weights

Amini

Choi

2017

Mobile Information Systems

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Distributed transmit diversity (DTD) technique that combines cooperative communications and diversity techniques is a suitable solution in 5th-generation (5G) systems. In this paper, we investigate the effect of receiver phase compensation (RPC) on the performance of DTD. We introduce new expressions for the average error rate of DTD in the presence of RPC. The derived expressions are useful for a large number of modulation schemes. We obtain further insights by comparing the RPC effect on DTD with different spatially correlated collocated transmit diversity (CTD). The new observations include the following: (1) In the case of feedback delay, the phase compensation (PC) is required on the receiver side in addition to the transmitter side. (2) In DTD with RPC, the system performance is improved by increasing the differences between the channel gain variances. However, this is the opposite of the case of DTD without RPC. (3) The correlated CTD is more sensitive to RPC than DTD. This sensitivity increases by enhancing the correlation between transmit (TX) antennas. (4) In the case where there is no delay for CTD or DTD, RPC does not affect the system's performance.

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Section: Average Error Rate In No-delay Dtdmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analysis of Distributed Transmit Diversity with Outdated Diversity Weights

Amini

Choi

2017

Mobile Information Systems

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“…As we can see, the maximum combination of received signal cannot be achieved as their phases are not suitably aligned. Thus, we propose an extraction of received signal at base station by applying the inverse matrix as shown in (14). After having done the proposed extraction, Figure 5 Step 2 (Optimum Weighting).…”

Section: Proposed Nonfeedback Techniquementioning

confidence: 99%

“…Unfortunately, the installation of multiple antennas on a mobile terminal is difficult due to its size and the limitation of power consumption [8][9][10]. Recently, a distributed beamforming has been proposed to handle the mentioned problem [11,12], which has lots of advantages such as a significant increase in transmission range and an enhancement of both energy efficiency and Signal-to-Noise Ratio (SNR) [13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Nonfeedback Distributed Beamforming Using Spatial-Temporal Extraction

Sriploy¹,

Uthansakul

2016

International Journal of Antennas and Propagation

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So far, major phase synchronization techniques for distributed beamforming suffer from the problem related to the feedback procedure as a base station has to send the feedback reference signal back to the transmitting nodes. This requires stability of communication channel or a number of retransmissions, introducing a complicated system to both transmitter and receiver. Therefore, this paper proposes an alternative technique, so-called nonfeedback beamforming, employing an operation in both space and time domains. The proposed technique is to extract a combined signal at the base station. The concept of extraction is based on solving a simultaneous linear equation without the requirement of feedback or reference signals from base station. Also, the number of retransmissions is less compared with the ones available in literatures. As a result, the transmitting nodes are of low complexity and also low power consumption. The simulation and experimental results reveal that the proposed technique provides the optimum beamforming gain. Furthermore, it can reduce Bit Error Rate to the systems.

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