On the Design of Antenna Location for OSTBC with Distributed Transmit Antennas in a Circular Cell

Han, Liang; Tang, Yifan; Shao, Shihai; Wu, Tingyong

doi:10.1109/icc.2010.5502149

Cited by 10 publications

(6 citation statements)

References 20 publications

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“…As has been demonstrated by [8] and [13] and also confirmed by our preliminary results, an optimal AP placement that minimizes the transmit power is symmetrical with respect to the region center due to the symmetry of the considered problem. Fig.…”

Section: Algorithm For Optimizing the Ap Placementsupporting

confidence: 81%

“…Meanwhile, existing studies have shown that the performance of the DAS can be improved by optimizing the AP placement (i.e., the locations for deploying the APs) [7]- [16]. Many researchers such as [8]- [11], [13] consider a circular topology for the APs (i.e., the APs are deployed evenly on a circle) and try to find an optimal radius for the circle. Other studies, such as [12], [14]- [16], suggest that APs should be deployed without a restricted topology and propose different algorithms for optimizing AP placements.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Array Placement in Distributed Massive MIMO for Power Saving considering Radiation Pattern

Zhu

Monteyne

Callebaut

et al. 2021

2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)

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Section: Algorithm For Optimizing the Ap Placementsupporting

confidence: 81%

Section: Introductionmentioning

confidence: 99%

Array Placement in Distributed Massive MIMO for Power Saving considering Radiation Pattern

Zhu

Monteyne

Callebaut

et al. 2021

2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)

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“…We consider a circular cell with radius R. Circular cell is widely used [12], [34], [39] and has been shown to have similar performance to hexagonal cell. But it enjoys more tractable analysis.…”

Section: B Asymptotic Achievable Rate Analysismentioning

confidence: 99%

Performance Analysis and Location Optimization for Massive MIMO Systems With Circularly Distributed Antennas

Yang

Jing

Xing

et al. 2015

IEEE Trans. Wireless Commun.

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We analyze the achievable rate of the uplink of a single-cell multi-user distributed massive multiple-input-multipleoutput (MIMO) system. Each user is equipped with single antenna and the base station (BS) is equipped with a large number of distributed antennas. We derive an analytical expression for the asymptotic ergodic achievable rate of the system under zero-forcing (ZF) detector. In particular, we consider circular antenna array, where the distributed BS antennas are located evenly on a circle, and derive an analytical expression and closed-form bounds for the achievable rate of an arbitrarily located user. Subsequently, closed-form bounds on the average achievable rate per user are obtained under the assumption that the users are uniformly located. Based on the bounds, we can understand the behavior of the system rate with respect to different parameters and find the optimal location of the circular BS antenna array that maximizes the average rate. Numerical results are provided to assess our analytical results and examine the impact of the number and the location of the BS antennas, the transmit power, and the path-loss exponent on system performance. Simulations on multi-cell networks are also demonstrated. Our work shows that circularly distributed massive MIMO system largely outperforms centralized massive MIMO system.Index Terms-Massive MIMO, distributed MIMO, achievable rate analysis, antenna location optimization. 3 tr(Z) is its trace. The symbol I M denotes the M ×M identity matrix, while 0 M,N denotes the M × N matrix whose entries are zeros. The symbol E denotes the statistical expectation operation. The symbol · F denotes Frobenius norm of a matrix or a vector. The function log 2 (·) is the base-2 logarithm and ln(·) is the natural logarithm. II. SYSTEM MODEL AND ASYMPTOTIC ACHIEVABLE RATE ANALYSIS A. Multi-User Distributed Massive MIMO System ModelWe consider a single-cell multi-user distributed massive MIMO system. In this system, there is one BS equipped with M antennas which are spatially distributed [32], [33]. The number of antennas M is assumed to be large, e.g., a few hundreds. This is different to the multi-user centralized MIMO system [16]-[27], where the BS antennas are centralized and spatially co-located. Compared with centralized MIMO systems, distributed MIMO systems provide macro-diversity and have enhanced network coverage and capacity, due to their open and flexible infrastructure [6], [8], [29]. This is also different to systems with distributed BSs, in which several BSs with multiple antennas cooperate with each other to jointly transmit or receive the information; and each BS has its own power constraint [37], [38]. We assume that the distributed BS antennas are connected with high capacity backhaul (e.g., optical fiber channels) and have ideal cooperation with each other. There are K users, each equipped with single antenna. We assume that M K, which is necessary in achieving high spectral efficiency in massive MIMO systems [16], [21].Denote the channel coefficient between ...

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“…It is found that ASTT is preferable to both BT and STS under low and moderate SNR conditions. So far as we know, the Alamouti scheme is only studied for traditional co-located antenna systems [13]- [15] and singlecell DASs [16]- [20]. It is meaningful to consider the Alamouti scheme in a practical DAS with multi-cell assumptions.…”

Section: Introductionmentioning

confidence: 99%

Downlink performance of Alamouti space-time transmission in practical distributed antenna systems

Feng

Wang

2012

2012 International Conference on Wireless Communications and Signal Processing (WCSP)

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Motivated by realistic applications, we focus on the downlink performance of a practical distributed antenna system (DAS) in this paper. The so-called practical DAS represents a multi-cell DAS with individual transmit power constraint for each antenna element and only the large-scale channel state information (CSI) known at the transmitters. In order to give consideration to both utility of transmit power and suppression of inter-cell interference, a simple Alamouti space-time transmission (ASTT) scheme is proposed. Accordingly, we derive a closedform expression for the ergodic achievable rate offered by ASTT so as to evaluate quantitatively the performance of ASTT. It is demonstrated that ASTT is preferable to the existing blanket transmission (BT) scheme and single transmit selection (STS) scheme under low and moderate SNR conditions. Index Terms-distributed antenna system (DAS), Alamouti space-time transmission (ASTT), ergodic achievable rate.

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On the Design of Antenna Location for OSTBC with Distributed Transmit Antennas in a Circular Cell

Cited by 10 publications

References 20 publications

Array Placement in Distributed Massive MIMO for Power Saving considering Radiation Pattern

Array Placement in Distributed Massive MIMO for Power Saving considering Radiation Pattern

Performance Analysis and Location Optimization for Massive MIMO Systems With Circularly Distributed Antennas

Downlink performance of Alamouti space-time transmission in practical distributed antenna systems

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