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News Article | May 5, 2017
Site: www.PR.com

Receive press releases from Korenix Technology Co. Ltd.: By Email Please join Korenix at the Asia Logistic Expo 2017 exhibition in Shanghai on June 7th -9th at Booth Z01. Shanghai City, China, May 05, 2017 --( Korenix is attending to this event by showing the solutions to warehouse automation, intelligent transportation, machine to machine, etc. with its latest Industrial Ethernet Switches, Industrial Power-over-Ethernet Switches, and Wireless Access Point/Gateways. The Wireless Series is especially recommended for this show because of the flexibility in applications: Korenix Industrial Wireless LAN Access Point- JetWave 4020/4020E Industrial Dual Band Dual Radio 802.11ac Wireless AP, JetWave 3220 Industrial Dual 802.11n 2.4G/5G 2T2R MIMO Wireless AP/Bridge and Korenix Industrial Mobile Cellular Router/Gateway- JetWave 2316-LTE Series Industrial Cellular + WIFI + Gigabit Switch IP Gateway. For more information about Korenix cutting-edge products and technologies, please visit Korenix booth Z01 at Asia Logistic Expo 2017. To learn more about Korenix Reliable Industrial Wireless and IIOT Solution, please visit Korenix website at the download page. Korenix Technology, a Beijer Electronics Group Company, is devoted to designing and manufacturing high-quality Industrial Ethernet and Wireless Products to ensure high quality and reliability of industrial networks. Website: www.korenix.com Facebook: https://www.facebook.com/KorenixTechnology/ Tel: +886-2-8911-1000 Shanghai City, China, May 05, 2017 --( PR.com )-- Asia Logistic Expo is one of the most professional logistic exhibitions held in China. It is held from June 7th to 9th this year at Shanghai New International Expo Centre, gathering 50000+ leading brands, experts, business owners, visitors from 20+ countries with the latest products and technologies within the logistic and transport industry.Korenix is attending to this event by showing the solutions to warehouse automation, intelligent transportation, machine to machine, etc. with its latest Industrial Ethernet Switches, Industrial Power-over-Ethernet Switches, and Wireless Access Point/Gateways. The Wireless Series is especially recommended for this show because of the flexibility in applications: Korenix Industrial Wireless LAN Access Point- JetWave 4020/4020E Industrial Dual Band Dual Radio 802.11ac Wireless AP, JetWave 3220 Industrial Dual 802.11n 2.4G/5G 2T2R MIMO Wireless AP/Bridge and Korenix Industrial Mobile Cellular Router/Gateway- JetWave 2316-LTE Series Industrial Cellular + WIFI + Gigabit Switch IP Gateway.For more information about Korenix cutting-edge products and technologies, please visit Korenix booth Z01 at Asia Logistic Expo 2017.To learn more about Korenix Reliable Industrial Wireless and IIOT Solution, please visit Korenix website at the download page.Korenix Technology, a Beijer Electronics Group Company, is devoted to designing and manufacturing high-quality Industrial Ethernet and Wireless Products to ensure high quality and reliability of industrial networks.Website: www.korenix.comFacebook: https://www.facebook.com/KorenixTechnology/Tel: +886-2-8911-1000 Click here to view the list of recent Press Releases from Korenix Technology Co. Ltd.


Lee N.,University of Texas at Austin | Lin X.,University of Texas at Austin | Andrews J.G.,University of Texas at Austin | Andrews J.G.,Kuma Signals, LLC | And 2 more authors.
IEEE Journal on Selected Areas in Communications | Year: 2015

This paper proposes a random network model for a device-to-device (D2D) underlaid cellular system using stochastic geometry and develops centralized and distributed power control algorithms. The goal of centralized power control is twofold: ensure that the cellular users have sufficient coverage probability by limiting the interference created by underlaid D2D users, while scheduling as many D2D links as possible. For the distributed power control method, the optimal on-off power control strategy is proposed, which maximizes the sum rate of the D2D links. Expressions are derived for the coverage probabilities of cellular, D2D links, and the sum rate of the D2D links in terms of the density of D2D links and the path-loss exponent. The analysis reveals the impact of key system parameters on the network performance. For example, the bottleneck of D2D underlaid cellular networks is the cross-tier interference between D2D links and the cellular user, not the D2D intratier interference when the density of D2D links is sparse. Simulation results verify the exactness of the derived coverage probabilities and the sum rate of D2D links. © 1983-2012 IEEE.


Truong K.T.,University of Texas at Austin | Truong K.T.,MIMO Wireless Inc. | Heath Jr. R.W.,University of Texas at Austin
IEEE Transactions on Vehicular Technology | Year: 2013

Relays in cellular systems are interference limited. The highest end-to-end sum rates are achieved when the relays are jointly optimized with the transmit strategy. Unfortunately, interference couples the links together, making joint optimization challenging. Further, the end-to-end multihop performance is sensitive to rate mismatch when some links have a dominant first link, whereas others have a dominant second link. This paper proposes an algorithm for designing the linear transmit precoders at the transmitters and relays of the relay interference broadcast channel, which is a generic model for relay-based cellular systems, to maximize the end-to-end sum rates. First, the relays are designed to maximize the second-hop sum rates. Next, approximate end-to-end rates that depend on the time-sharing fraction and the second-hop rates are used to formulate a sum-utility maximization problem to design the transmitters. This problem is solved by iteratively minimizing the weighted sum of mean square errors (MSEs). Finally, the norms of the transmit precoders at the transmitters are adjusted to eliminate rate mismatch. The proposed algorithm allows for distributed implementation and has fast convergence. Numerical results show that the proposed algorithm outperforms a reasonable application of single-hop interference management strategies separately on two hops. © 2012 IEEE.


Truong K.T.,MIMO Wireless Inc. | Sartori P.,Huawei | Heath Jr. R.W.,University of Texas at Austin
IEEE Transactions on Signal Processing | Year: 2013

Interference is a common impairment in wireless communication systems. Multi-hop relay networks use a set of intermediate nodes called relays to facilitate communication between multiple transmitters and multiple receivers through multiple hops. Relay based communication is especially sensitive to interference because the interference impacts both the received signal at the relay, and the received signal at the destination. Interference alignment is a signaling technique that provides high multiplexing gain in the interference channel. In this paper, inspired by an algorithmic approach for interference alignment, three cooperative algorithms are proposed to find suboptimal solutions for end-to-end sum-rate maximization problem in a multiple-antenna amplify-and-forward (AF) relay interference channel. The first algorithm aims at minimizing the sum power of enhanced noise from the relays and interference at the receivers. The second and third algorithms aim at minimizing matrix-weighted sum mean square errors with either equality or inequality power constraints to utilize a connection between mean square error and mutual information. The resulting iterative algorithms are convergent to points that we conjecture to be stationary points of the corresponding problems. Simulations show that the proposed algorithms achieve higher end-to-end sum-rates and multiplexing gains that existing strategies for AF relays, decode-and-forward relays, and direct transmission. The first algorithm outperforms the other algorithms at high signal-to-noise ratio (SNR) but performs worse than them at low SNR. Thanks to power control, the third algorithm outperforms the second algorithm at the cost of additional overhead. © 1991-2012 IEEE.


Truong K.T.,MIMO Wireless Inc | Heath R.W.,University of Texas at Austin
Journal of Communications and Networks | Year: 2013

Multiple-input multiple-output (MIMO) communication may provide high spectral efficiency through the deployment of a very large number of antenna elements at the base stations. The gains from massive MIMO communication come from the use of multiuser MIMO on the uplink and downlink, but with a large excess of antennas at the base station compared to the number of served users. Initial work on massive MIMO did not fully address several practical issues associated with its deployment. This paper considers the impact of channel aging on the performance of massive MIMO systems. The effects of channel variation are characterized as a function of different system parameters assuming a simple model for the channel time variations at the transmitter. Channel prediction is proposed to overcome channel aging effects. The analytical results on aging show how capacity is lost due to time variation in the channel. Numerical results in a multiceli network show that massive MIMO works even with some channel variation and that channel prediction could partially overcome channel aging effects. © 2013 KICS.


Heath Jr. R.W.,MIMO Wireless Inc. | Heath Jr. R.W.,University of Texas at Austin | Wu T.,Broadcom Corporation | Kwon Y.H.,Huawei | Soong A.C.K.,Huawei
IEEE Transactions on Signal Processing | Year: 2011

Distributed antenna systems (DAS) augment the base station's transmit capability by adding multiple remote radio units, connected to the base station via a high bandwidth and low latency link. With DAS, the base station operates as if it had multiple antennas, but the antennas happen to be in different geographic locations. DAS have been shown to enhance coverage and capacity in cellular systems, in a variety of different configurations. This paper proposes, analyzes, and compares several downlink multiuser multiple input multiple output (MIMO) DAS strategies in terms of per-user throughput and area spectral efficiency. Zero-forcing transmit beamforming is used for transmission, the remote radio units may have one or more antennas, and the subscriber has a single receive antenna. Techniques considered include beamforming across all remote radio units (full transmission), using the same beamforming vector for each remote radio unit (simplified transmission), and selecting a subset of remote radio units. To facilitate rapid simulation and design space exploration, approximations of the ergodic rate are proposed for each technique assuming path-loss, small-scale Rayleigh fading, and out-of-cell interference. Simulations accounting for multiple interfering cells are used to compare the different transmission techniques. Full transmission is found to have the best performance even accounting for out-of-cell interference, though gains diminish for higher numbers of active users. Simplified transmission improves over no DAS but performance degrades with more active remote radio units. © 2011 IEEE.


Truong K.T.,MIMO Wireless Inc. | Heath Jr. R.W.,MIMO Wireless Inc. | Heath Jr. R.W.,University of Texas at Austin
Conference Record - Asilomar Conference on Signals, Systems and Computers | Year: 2013

Massive multiple-input multiple-output (MIMO) is a breakthrough communication technique for providing high spectral efficiency. The idea is to deploy a very large number of antennas at each base station and to use multiuser MIMO transmission to serve a smaller number of users. In this paper, the viability of using distributed antennas for massive MIMO on the uplink is investigated for a particular spatial correlation channel model. Both maximal ratio combining (MRC) and minimum mean squared error (MMSE) beamforming are found to provide higher performance in several distributed settings. An algorithm for remote radio head selection is proposed that allows MRC to approach the performance achieved by the MMSE beamforming solution yet retaining its lower complexity. © 2013 IEEE.

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