Measurement Based Capacity of Distributed MIMO Antenna System in Urban Microcellular Environment at 5.25 GHz

Alatossava, M.; Taparugssanagorn, Attaphongse; Holappa, V.-M.; Ylitalo, J.

doi:10.1109/vetecs.2008.101

Cited by 24 publications

(19 citation statements)

References 6 publications

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“…Among them the AF scheme is the most attractive for the M2M relay communication due to its low implementation complexity. With the aid of channel state information (CSI), relay devices can be designed to work collaboratively to guarantee the QoS requirements by forming a virtual beamforming system [12,13]. Most existing contexts have studied relay beamforming strategies in a single cell.…”

Section: Introductionmentioning

confidence: 99%

Collaborative Relay Beamforming Based on Minimum Power for M2M Devices in Multicell Systems

Zhang

Wang

Bai

et al. 2013

International Journal of Distributed Sensor Networks

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Recently, machine-to-machine (M2M) communication has been studied in the single cell system. However, in the multicell system multiple M2M type devices at the edge of a cell may suffer from the strong interference that consists of the intercell interference from other cells and the intracell interference from other M2M devices in the local cell. In this paper, we study the relay beamforming strategy to guarantee the quality of service (QoS) requirements of the multiple destination devices in multicell systems. We minimize the transmit power of the base stations (BSs) and relays to save the power of M2M devices, while guaranteeing the receive signal-tointerference-and-noise ratio (SINR) of the destination devices. The main contribution of this paper is that we propose an iterative algorithm to jointly optimize the BS and relay beamforming weights with minimizing the BS and relay power under the receive SINR constraints in the perfect channel state information (CSI). Using the semidefinite relaxation (SDR) technology, the optimization problems for the BS and relay beamforming weights can be effectively solved. In addition, we also discuss the issue of imperfect CSI in practice. Simulation results validate our theoretical analysis and demonstrate that our proposed iterative scheme can achieve near-optimal performance within a few iterations.

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Section: Introductionmentioning

confidence: 99%

Collaborative Relay Beamforming Based on Minimum Power for M2M Devices in Multicell Systems

Zhang

Wang

Bai

et al. 2013

International Journal of Distributed Sensor Networks

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“…The sources transmit signals through one or more relay devices towards the destination devices in wireless M2M networks. Relay devices can be designed to work collaboratively to guarantee the QoS requirements by forming a virtual beamforming system [4,5].…”

Section: Introductionmentioning

confidence: 99%

Collaborative Relay Beamforming Strategies for Multiple Destinations with Guaranteed QoS in Wireless Machine-to-Machine Networks

Bai

Zhang

et al. 2012

International Journal of Distributed Sensor Networks

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The Machine-to-Machine (M2M) communications allow information exchange between machine devices, which can be carried out without any human interaction. However, there are a large number of small and low-power machine devices in the wireless M2M networks. To guarantee the quality of service (QoS) requirements of the destination devices, we study the amplify-andforward (AF) relay beamforming, where multiple relay M2M devices can transmit signals from the source M2M device to multiple destination M2M devices. In this paper, we propose two iterative strategies to jointly optimize the source antenna selection and the collaborative relay beamforming weights with the aid of perfect channel state information (CSI). The aim of the proposed strategies is to maximize the worst-case received signal-to-interference-and-noise ratio (SINR) under two different types of relay power constraints, which are the total relay power constraint and individual relay power constraints, respectively. Using the semidefinite relaxation (SDR) technique, the optimization problem of collaborative relay beamforming can be formulated as a semidefinite programming (SDP) problem, which can be optimally solved. Simulation results validate our theoretical analysis and demonstrate that after several iterations, the performance of the proposed iterative strategies can obtain near-optimal performance.

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“…One potential solution for overcoming the challenge of limited angle spread at the BS is to enable antennas from multiple BSs to coherently cooperate for MIMO processing [3]. Recent work on this topic using measured channels has demonstrated that while cooperative MIMO processing adds complexity to the system implementation, it can achieve significant performance gains [4]- [9].…”

Section: Introductionmentioning

confidence: 99%

Measurement-Based Performance Analysis of Cooperative MIMO Beamforming

Sharifabad

Jensen

Medbo

et al. 2012

Antennas Wirel. Propag. Lett.

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This letter explores the potential benefits of cooperative multiple-input-multiple-output (MIMO) signaling from three coherent base stations to a single four-antenna mobile station using channel measurements in an urban macrocellular environment at 2.66 GHz. The analysis compares the performance when the cooperative base stations have no information about the channels to that achieved when they can cooperatively apply transmit beamforming. In the latter case, the transmit power is constrained such that either the total power or the power on each base-station antenna is limited. The results demonstrate that significant improvement is possible using the cooperative MIMO signaling, with the performance depending on the capabilities of the system.

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Measurement Based Capacity of Distributed MIMO Antenna System in Urban Microcellular Environment at 5.25 GHz

Cited by 24 publications

References 6 publications

Collaborative Relay Beamforming Based on Minimum Power for M2M Devices in Multicell Systems

Collaborative Relay Beamforming Based on Minimum Power for M2M Devices in Multicell Systems

Collaborative Relay Beamforming Strategies for Multiple Destinations with Guaranteed QoS in Wireless Machine-to-Machine Networks

Measurement-Based Performance Analysis of Cooperative MIMO Beamforming

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