A Portable MIMO Testbed and Selected Channel Measurements

Goud, P.A.; Hang, Robert; Truhachev, Dmitri; Schlegel, Christian

doi:10.1155/asp/2006/51490

Cited by 21 publications

(6 citation statements)

References 13 publications

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“…The chip rate used for sounding was low enough to safely assume that the channel is not frequency selective. More details on the testbed configuration and the procedure used to estimate the channel gains of the MIMO channel matrix can be found in [19]. Datasets and a detailed description of many measurement campaigns in typical propagation environments are available at the iCORE HCDC Lab website (http://www.ece.ualberta.ca/~mimo/).…”

Section: B Experiments With Measured Channel Datamentioning

confidence: 99%

Quality of Service and Max-Min Fair Transmit Beamforming to Multiple Cochannel Multicast Groups

Karipidis

Sidiropoulos

Luo

2008

IEEE Trans. Signal Process.

551

688

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Abstract-The problem of transmit beamforming to multiple cochannel multicast groups is considered, when the channel state is known at the transmitter and from two viewpoints: minimizing total transmission power while guaranteeing a prescribed minimum signal-to-interference-plus-noise ratio (SINR) at each receiver; and a "fair" approach maximizing the overall minimum SINR under a total power budget. The core problem is a multicast generalization of the multiuser downlink beamforming problem; the difference is that each transmitted stream is directed to multiple receivers, each with its own channel. Such generalization is relevant and timely, e.g., in the context of the emerging WiMAX and UMTS-LTE wireless networks. The joint problem also contains single-group multicast beamforming as a special case. The latter (and therefore also the former) is NP-hard. This motivates the pursuit of computationally efficient quasi-optimal solutions. It is shown that Lagrangian relaxation coupled with suitable randomization/cochannel multicast power control yield computationally efficient high-quality approximate solutions. For a significant fraction of problem instances, the solutions generated this way are exactly optimal. Extensive numerical results using both simulated and measured wireless channels are presented to corroborate our main findings.

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Section: B Experiments With Measured Channel Datamentioning

confidence: 99%

Quality of Service and Max-Min Fair Transmit Beamforming to Multiple Cochannel Multicast Groups

Karipidis

Sidiropoulos

Luo

2008

IEEE Trans. Signal Process.

551

688

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“…Although a thorough design approach is proposed, the verification is limited due to the use of expensive FPGAs and proprietary software. A 4×4 MIMO-OFDM platform using FPGAs operating at 902-928 MHz band is discussed in [10]. However, the motivation was to apply the 915 MHz band in order to avoid the highly congested 2.4 GHz band.…”

Section: A Related Workmentioning

confidence: 99%

Effect of Vertical, Horizontal, and Combined Plyometric Training on Explosive, Balance, and Endurance Performance of Young Soccer Players

Ramírez‐Campillo

Gallardo

Henríquez‐Olguín

et al. 2015

Journal of Strength and Conditioning Research

144

143

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The aim of this study was to compare the effects of 6 weeks of vertical, horizontal, or combined vertical and horizontal plyometric training on muscle explosive, endurance, and balance performance. Forty young soccer players aged between 10 and 14 years were randomly divided into control (CG; n = 10), vertical plyometric group (VG; n = 10), horizontal plyometric group (HG; n = 10), and combined vertical and horizontal plyometric group (VHG; n = 10). Players performance in the vertical and horizontal countermovement jump with arms, 5 multiple bounds test (MB5), 20-cm drop jump reactive strength index (RSI20), maximal kicking velocity (MKV), sprint, change of direction speed (CODS), Yo-Yo intermittent recovery level 1 test (Yo-Yo IR1), and balance was measured. No significant or meaningful changes in the CG, apart from small change in the Yo-Yo IR1, were observed while all training programs resulted in meaningful changes in explosive, endurance, and balance performance. However, only VHG showed a statistically significant (p ≤ 0.05) increase in all performance test and most meaningful training effect difference with the CG across tests. Although no significant differences in performance changes were observed between experimental groups, the VHG program was more effective compared with VG (i.e., jumps, MKV, sprint, CODS, and balance performance) and HG (i.e., sprint, CODS, and balance performance) to small effect. The study demonstrated that vertical, horizontal, and combined vertical and horizontal jumps induced meaningful improvement in explosive actions, balance, and intermittent endurance capacity. However, combining vertical and horizontal drills seems more advantageous to induce greater performance improvements.

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“…Also note that Table I contains additional information that cannot be easily conveyed in graphical form (average execution times, percentages in the number of users served). Measured channels: Measured channel data (downloaded from the iCORE HCDC Lab web site, University of Alberta in Edmonton [9], http://www.ece.ualberta.ca/∼mimo/) were used for Table II. The site contains detailed descriptions of numerous measurement campaigns in the 902-928 MHz (ISM) band.…”

Section: Experiments Setupmentioning

confidence: 99%

Convex approximation techniques for joint multiuser downlink beamforming and admission control

Matskani

Sidiropoulos

Luo

et al. 2008

IEEE Trans. Wireless Commun.

191

216

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Abstract-Multiuser downlink beamforming under quality of service (QoS) constraints has attracted considerable interest in recent years, because it is particularly appealing from a network operator's perspective (e.g., UMTS, 802.16e). When there are many co-channel users and/or the service constraints are stringent, the problem becomes infeasible and some form of admission control is necessary. We advocate a cross-layer approach to joint multiuser transmit beamforming and admission control, aiming to maximize the number of users that can be served at their desired QoS. It is shown that the core problem is NP-hard, yet amenable to convex approximation tools. Two computationally efficient convex approximation algorithms are proposed: one is based on semidefinite relaxation of an equivalent problem reformulation; the other takes a penalized second-order cone approach. Their performance is assessed in a range of experiments, using both simulated and measured channel data. In all experiments considered, the proposed algorithms work remarkably well in terms of the attained performance-complexity trade-off, consistently exhibiting close to optimal performance at an affordable computational complexity.

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A Portable MIMO Testbed and Selected Channel Measurements

Cited by 21 publications

References 13 publications

Quality of Service and Max-Min Fair Transmit Beamforming to Multiple Cochannel Multicast Groups

Quality of Service and Max-Min Fair Transmit Beamforming to Multiple Cochannel Multicast Groups

Effect of Vertical, Horizontal, and Combined Plyometric Training on Explosive, Balance, and Endurance Performance of Young Soccer Players

Convex approximation techniques for joint multiuser downlink beamforming and admission control

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