MIMO in HSPA: the Real-World Impact MIMO in HSPA: the Real-World Impact
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Performance Comparisons of MIMO Techniques with Application to WCDMA Systems
EURASIP Journal on Applied Signal Processing 2004:5, 649–661 c 2004 Hindawi Publishing Corporation Performance Comparisons of MIMO Techniques with Application to WCDMA Systems Chuxiang Li Department of Electrical Engineering, Columbia University, New York, NY 10027, USA Email: [email protected] Xiaodong Wang Department of Electrical Engineering, Columbia University, New York, NY 10027, USA Email: [email protected] Received 11 December 2002; Revised 1 August 2003 Multiple-input multiple-output (MIMO) communication techniques have received great attention and gained significant devel- opment in recent years. In this paper, we analyze and compare the performances of different MIMO techniques. In particular, we compare the performance of three MIMO methods, namely, BLAST, STBC, and linear precoding/decoding. We provide both an analytical performance analysis in terms of the average receiver SNR and simulation results in terms of the BER. Moreover, the applications of MIMO techniques in WCDMA systems are also considered in this study. Specifically, a subspace tracking algo- rithm and a quantized feedback scheme are introduced into the system to simplify implementation of the beamforming scheme. It is seen that the BLAST scheme can achieve the best performance in the high data rate transmission scenario; the beamforming scheme has better performance than the STBC strategies in the diversity transmission scenario; and the beamforming scheme can be effectively realized in WCDMA systems employing the subspace tracking and the quantized feedback approach. Keywords and phrases: BLAST, space-time block coding, linear precoding/decoding, subspace tracking, WCDMA. 1. INTRODUCTION ing power and/or rate over multiple transmit antennas, with partially or perfectly known channel state information [7]. -
Miniaturized Frequency Reconfigurable Pentagonal MIMO Slot Antenna for Interweave CR Applications
Miniaturized frequency reconfigurable pentagonal MIMO slot antenna for interweave CR applications Item Type Article Authors Hussain, Rifaqat; Raza, Ali; Khan, Muhammad U.; Shamim, Atif; Sharawi, Mohammad S. Citation Hussain R, Raza A, Khan MU, Shammim A, Sharawi MS (2019) Miniaturized frequency reconfigurable pentagonal MIMO slot antenna for interweave CR applications. International Journal of RF and Microwave Computer-Aided Engineering: e21811. Available: http://dx.doi.org/10.1002/mmce.21811. DOI 10.1002/mmce.21811 Publisher Wiley Journal International Journal of RF and Microwave Computer-Aided Engineering Download date 01/10/2021 07:53:51 Link to Item http://hdl.handle.net/10754/653090 Pentagonal Slot MIMO Reconfigurable Antenna 1 Miniaturized Frequency Reconfigurable Pentagonal MIMO Slot Antenna for Interweave CR Applications Rifaqat Hussain 1, Ali Raza 2, Muhammad U. Khan 3, Atif Shammim 4 and Mohammad S. Sharawi 5 1 Electrical Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran, 31261, Saudi Arabia, Email: [email protected]. 2 Department of Electrical Engineering, University of Engineering and Technology Lahore, Faisalabad Campus, Pakistan 3 Research Institute for Microwave and Millimeter-Wave Studies, National University of Science and Technology, Islamabad, 44000, Pakistan 4 Computer, Electrical and Mathematical Science and Engineering Division, King Abdullah University (KAUST) of Science and Technology, Thuwal 23955-6900, Saudi Arabia 5 Electrical Engineering Department, Polytechnique Montr´eal, Montreal, QC H3T 1J4, Canada, Email: [email protected] ABSTRACT: In this paper, a miniaturized 4-element frequency reconfigurable multiple- input-multiple-output (MIMO) antenna system is presented. The proposed design is low profile with planar configuration. The design consists of pentagonal slot-based frequency reconfigurable antenna elements. -
An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems
1 An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems Robert W. Heath Jr., Nuria Gonzalez-Prelcic, Sundeep Rangan, Wonil Roh, and Akbar Sayeed Abstract Communication at millimeter wave (mmWave) frequencies is defining a new era of wireless com- munication. The mmWave band offers higher bandwidth communication channels versus those presently used in commercial wireless systems. The applications of mmWave are immense: wireless local and personal area networks in the unlicensed band, 5G cellular systems, not to mention vehicular area networks, ad hoc networks, and wearables. Signal processing is critical for enabling the next generation of mmWave communication. Due to the use of large antenna arrays at the transmitter and receiver, combined with radio frequency and mixed signal power constraints, new multiple-input multiple-output (MIMO) communication signal processing techniques are needed. Because of the wide bandwidths, low complexity transceiver algorithms become important. There are opportunities to exploit techniques like compressed sensing for channel estimation and beamforming. This article provides an overview of signal processing challenges in mmWave wireless systems, with an emphasis on those faced by using MIMO communication at higher carrier frequencies. I. INTRODUCTION The millimeter wave (mmWave) band is the frontier for commercial – high volume consumer – wireless communication systems [1]. MmWave makes use of spectrum from 30 GHz to 300 GHz whereas most arXiv:1512.03007v1 [cs.IT] 9 Dec 2015 R. W. Heath Jr. is with The University of Texas at Austin, Austin, TX, USA (email: [email protected]). Nuria Gonzalez- Prelcic is with the University of Vigo, Spain, (email: [email protected]). -
Interim Report 2020/2021
ABOUT US SmarTone Telecommunications Holdings Limited (0315.HK), listed in Hong Kong since 1996 and a subsidiary of Sun Hung Kai Properties Limited, is a leading telecommunications provider with operating subsidiaries in Hong Kong and Macau, offering voice, multimedia and mobile broadband services, as well as fixed fibre broadband services for both consumer and corporate markets. SmarTone spearheaded 5G development in Hong Kong since May 2020, with the launch of its territory-wide 5G services. SmarTone is your smart partner that delivers a trusted and connected experience through our high-quality network, people-driven products and services combined with innovation, passion and understanding of customer needs. SmarTone differentiates our content, excellent customer service, business and consumer products for all our Hong Kong customers, allowing them to live and feel smarter everyday. This strong presence is also backed by expert technical know-how, over 30 stores across Hong Kong, our 5 core brands and our innovative business strategies arm. CONTENTS About Us Business Highlights 2 Chairman’s Statement 6 Management Discussion and Analysis 8 Directors Profile 11 Staff Engagement 20 Community Engagement 22 Report on Review of Interim Financial Information 24 Condensed Consolidated Profit and Loss Account 25 Condensed Consolidated Statement of Comprehensive Income 26 Condensed Consolidated Balance Sheet 27 Condensed Consolidated Statement of Cash Flows 29 Condensed Consolidated Statement of Changes in Equity 30 Notes to the Condensed Consolidated Interim Financial Statements 32 Other Information 48 INTERIM REPORT 2020/21 INTERIM REPORT 1 BUSINESS HIGHLIGHTS Spearhead 5G and Smart City development in Hong Kong SmarTone provides nearly full 5G coverage in Hong Kong with the widest coverage* both indoors and outdoors, to bring a faster, stabler and smoother 5G experience. -
Arrangements for the Frequency Spectrum in the 2.5/2.6 Ghz Band
Arrangements for the Frequency Spectrum in the 2.5/2.6 GHz Band upon Expiry of the Existing Assignments for the Provision of Public Mobile Services and the Related Spectrum Utilisation Fee Consultation Paper 23 September 2020 PURPOSE This paper is jointly issued by the Communications Authority (“CA”) and the Secretary for Commerce and Economic Development (“SCED”) to seek views and comments of the telecommunications industry and other affected persons on the proposed arrangements for re-assignment of 90 MHz of spectrum in the 2.5/2.6 GHz band upon expiry of the existing assignments on 30 March 2024 and methods for setting the related spectrum utilisation fee (“SUF”). BACKGROUND 2. A total of 90 MHz of spectrum in the 2.5/2.6 GHz band was assigned in March 2009 for the provision of public mobile services, and the existing assignments are due to expire in March 2024. The assignments are made to three assignees1, each with an amount of 2 x 15 MHz in the frequency ranges of 2500 – 2515 MHz paired with 2620 – 2635 MHz and 2540 – 2570 MHz paired with 2660 – 2690 MHz (hereafter referred to as “Available Spectrum”)2. 1 China Mobile Hong Kong Company Limited (“CMHK”), Hong Kong Telecommunications (HKT) Limited (“HKT”) and Genius Brand Limited (“Genius Brand”) are the incumbent assignees of the Available Spectrum, with each of them holding 2 x 15 MHz of the spectrum. Genius Brand is a joint venture indirectly owned by HKT and Hutchison Telephone Company Limited (“Hutchison”). The spectrum in the 2.5/2.6 GHz band assigned to Genius Brand is assumed to be divided equally between HKT and Hutchison for the purpose of calculation of the spectrum holding in this consultation paper. -
Arrangements for the Frequency Spectrum in the 900 Mhz and 1800
Arrangements for the Frequency Spectrum in the 900 MHz and 1800 MHz Bands upon Expiry of the Existing Assignments for Public Mobile Telecommunications Services and the Spectrum Utilisation Fee Consultation Paper 3 February 2016 FOREWORD This paper seeks views and comments of the telecommunications industry and other affected persons on the arrangements for re-assignment of the frequency spectrum in the 900 MHz and 1800 MHz bands upon expiry of the existing assignments between November 2020 and September 2021. This paper also seeks views and comments on the methods for setting the related spectrum utilisation fee (“SUF”). The Communications Authority (“CA”) and the Secretary for Commerce and Economic Development (“SCED”) plan to conduct two rounds of public consultation on the arrangements for the spectrum re-assignment and the related SUF, with a view to making their respective decisions on the way forward by November 2017. For the avoidance of doubt, all the information given and views expressed in this consultation paper are for the purpose of discussion and consultation only. Nothing in this consultation paper represents or constitutes any decision made by the CA or the SCED. The consultation contemplated by this consultation paper is without prejudice to the exercise of the powers by the CA and the SCED under the Telecommunications Ordinance (Cap. 106) (“TO”) or any subsidiary legislation thereunder. Any person wishing to respond to the public consultation should do so on or before 18 April 2016. The CA and the SCED may publish all or part of the views and comments received, and disclose the identity of the source in such manner as they see fit. -
Full-Azimuth Beam Steering MIMO Antenna Arranged in a Daisy Chain Array Structure
micromachines Article Full-Azimuth Beam Steering MIMO Antenna Arranged in a Daisy Chain Array Structure Kazuhiro Honda 1,*, Taiki Fukushima 2 and Koichi Ogawa 1 1 Graduate School of Engineering, Toyama University, 3190 Gofuku, Toyama 930-8555, Japan; [email protected] 2 Panasonic System Networks R&D Lab. Co., Ltd., Technology Center, 2-5 Akedori, Izumi-ku, Sendai, Miyagi 981-3206, Japan; [email protected] * Correspondence: [email protected]; Tel.: +81-76-445-6759 Received: 28 August 2020; Accepted: 18 September 2020; Published: 19 September 2020 Abstract: This paper presents a multiple-input, multiple-output (MIMO) antenna system with the ability to perform full-azimuth beam steering, and with the aim of realizing greater than 20 Gbps vehicular communications. The MIMO antenna described in this paper comprises 64 elements arranged in a daisy chain array structure, where 32 subarrays are formed by pairing elements in each subarray; the antenna yields 32 independent subchannels for MIMO transmission, and covers all communication targets regardless of their position relative to the array. Analytical results reveal that the proposed antenna system can provide a channel capacity of more than 200 bits/s/Hz at a signal-to-noise power ratio (SNR) of 30 dB over the whole azimuth, which is equivalent to 20 Gbps for a bandwidth of 100 MHz. This remarkably high channel capacity is shown to be due to two significant factors; the improved directivity created by the optimum in-phase excitation and the low correlation between the subarrays due to the orthogonal alignment of the array with respect to the incident waves. -
China Telecom 728 HK Outperform 2016: Capex Cut, but Not Deep Enough Price (At 05:20, 22 Mar 2016 GMT) HK$3.90
HONG KONG China Telecom 728 HK Outperform 2016: capex cut, but not deep enough Price (at 05:20, 22 Mar 2016 GMT) HK$3.90 Valuation HK$ 4.30 Event - DCF 12-month target HK$ 4.30 . China Telecom’s 2015 net profit came in ahead of market expectations. We Upside/Downside % +10.3 believe guidance for a capex cut is not deep enough to impress the market. 12-month TSR % +12.5 Volatility Index Medium Impact GICS sector . Financial highlights. For 2015, China Telecom reported operating revenues Telecommunication Services of RMB331.2bn (+2.1% y-y), EBITDA of RMB94.1bn (-0.8% y-y) and net profit Market cap HK$m 315,636 of RMB20.1bn (+13.4% y-y). We note the company’s net profit came in ~5% Market cap US$m 41,022 30-day avg turnover US$m 21.6 above market expectation. The company declared final DPS of HK$0.095 Number shares on issue m 80,932 (2014: HK$0.095). Investment fundamentals . Positive: While the mobile service revenue for Mobile and Unicom fell Year end 31 Dec 2014A 2015E 2016E 2017E 1.2% and 8.0% y-y, respectively, Telecom reported +3.5% y-y for its Revenue bn 324.4 351.8 380.6 400.7 mobile service revenue. Due to implementation of VAT and “one-month EBIT bn 28.5 30.4 36.0 42.2 EBIT growth % 3.8 6.8 18.4 17.2 mobile data carry-over” initiative, mobile service revenue for domestic Reported profit bn 17.7 20.5 24.6 29.3 operators were under pressure in 2015. -
802.11Ac MU-MIMO Bridging the MIMO Gap in Wi-Fi
Title Qualcomm Atheros, Inc. 802.11ac MU-MIMO: Bridging the MIMO Gap in Wi-Fi January, 2015 Qualcomm Atheros, Inc. Not to be used, copied, reproduced, or modified in whole or in part, nor its contents revealed in any manner to others without the express written permission of Qualcomm Atheros Inc. Qualcomm, Snapdragon, and VIVE are trademarks of Qualcomm Incorporated, registered in the United States and other countries. All Qualcomm Incorporated trademarks are used with permission. Other product and brand names may be trademarks or registered trademarks of their respective owners. This technical data may be subject to U.S. and international export, re-export, or transfer (“export”) laws. Diversion contrary to U.S. and international law is strictly prohibited. Qualcomm Atheros, Inc. 1700 Technology Drive San Jose, CA 95110 U.S.A. ©2014-15 Qualcomm Atheros, Inc. All Rights Reserved. MAY CONTAIN U.S. AND INTERNATIONAL EXPORT CONTROLLED INFORMATION Page 2 Table of Contents 1 Executive Summary ................................................................................................................................ 4 2 Why MU-MIMO? ..................................................................................................................................... 5 3 11ac Advanced Features: Transmit Beamforming (TxBF) and MU-MIMO ............................................. 6 3.1 Standardized Closed Loop TxBF .................................................................................................... 6 3.2 MU-MIMO or MU-TxBF .................................................................................................................. -
Directional Beamforming for Millimeter-Wave MIMO Systems
Directional Beamforming for Millimeter-Wave MIMO Systems Vasanthan Raghavan, Sundar Subramanian, Juergen Cezanne and Ashwin Sampath Qualcomm Corporate R&D, Bridgewater, NJ 08807 E-mail: {vraghava, sundars, jcezanne, asampath}@qti.qualcomm.com Abstract—The focus of this paper is on beamforming in a that allows the deployment of a large number of antennas in millimeter-wave (mmW) multi-input multi-output (MIMO) set- a fixed array aperture. up that has gained increasing traction in meeting the high data- Despite the possibility of multi-input multi-output (MIMO) rate requirements of next-generation wireless systems. For a given MIMO channel matrix, the optimality of beamforming communications, mmW signaling differs significantly from with the dominant right-singular vector (RSV) at the transmit traditional MIMO architectures at cellular frequencies. The end and with the matched filter to the RSV at the receive most optimistic antenna configurations1 at cellular frequencies end has been well-understood. When the channel matrix can are on the order of 4 × 8 with a precoder rank (number of be accurately captured by a physical (geometric) scattering layers) of 1 to 4; see, e.g., [9]. Higher rank signaling requires model across multiple clusters/paths as is the case in mmW 2 MIMO systems, we provide a physical interpretation for this multiple radio-frequency (RF) chains which are easier to real- optimal structure: beam steering across the different paths with ize at lower frequencies than at the mmW regime. Thus, there appropriate power allocation and phase compensation. While has been a growing interest in understanding the capabilities of such an explicit physical interpretation has not been provided low-complexity approaches such as beamforming (that require hitherto, practical implementation of such a structure in a mmW only a single RF chain) in mmW systems [10]–[15]. -
A Study of MIMO Precoding Algorithm for WCDMA Uplink
A study of MIMO precoding algorithm in WCDMA uplink Master's Thesis in Signals and Systems Sheng Huang & Mengbai Tao Department of Signals & Systems Communication Engineering Chalmers University of Technology Gothenburg, Sweden 2014 Master's Thesis EX044/2014 Abstract With rapidly increasing demand in high-speed data transmission, Multiple-Input Multiple-Output (MIMO) techniques are widely used in current communication net- works, like Wideband Code Division Multiple Access (WCDMA). MIMO in downlink of WCDMA has been studied for a long time, while in WCDMA uplink, the specification of how to choose precoder is still not defined yet. Precoding is an essential element in MIMO, aiming at mitigating interference between different data streams that are se- quences of digitally coded signals. Currently, a MIMO system suffer from two problems regarding precoding. Since channel information is needed for the precoding algorithm, one problem then is that it is difficult to model the channel characteristics in a frequency selective channel. The other problem is that only limited feedback is applicable in real system, since the cost of feedback overhead is far larger than the benefits from precod- ing if full channel information needs to be sent to the transmitter. The objective of this thesis is to investigate the maximum potential gain in the required Signal-to-Noise Ratio (SNR) range for a given Block Error Rate (BLER) by using precoding and selecting a suitable precoding algorithm in the case of limited feedback in the WCDMA uplink. The maximum potential gain of precoding is considerable (1:2 dB at 0:5 BLER com- pared to a fixed precoder) in the case of limited feedback according to our simulations. -
MIMO Technology in Wifi Systems
MIMO in WiFi Systems Rohit U. Nabar Smart Antenna Workshop Aug. 1, 2014 WiFi • Local area wireless technology that allows communication with the internet using 2.4 GHz or 5 GHz radio waves per IEEE 802.11 • Proliferation in the number of devices that use WiFi today: smartphones, tablets, digital cameras, video-game consoles, TVs, etc • Devices connect to the internet via wireless network access point (AP) Advantages • Allows convenient setup of local area networks without cabling – rapid network connection and expansion • Deployed in unlicensed spectrum – no regulatory approval required for individual deployment • Significant competition between vendors has driven costs lower • WiFi governed by a set of global standards (IEEE 802.11) – hardware compatible across geographical regions WiFi IC Shipment Growth 1.25x 15x Cumulative WiFi Devices in Use Data by Local Access The IEEE 802.11 Standards Family Standard Year Ratified Frequency Modulation Channel Max. Data Band Bandwidth Rate 802.11b 1999 2.4 GHz DSSS 22MHz 11 Mbps 802.11a 1999 5 GHz OFDM 20 MHz 54 Mbps 802.11g 2003 2.4 GHz OFDM 20 MHz 54 Mbps 802.11n 2009 2.4/5 GHz MIMO- 20,40 MHz 600 Mbps OFDM 802.11ac 2013 5 GHz MIMO- 20, 40, 80, 6.93 Gbps OFDM 160 MHz 802.11a/ac PHY Comparison 802.11a 802.11ac Modulation OFDM MIMO-OFDM Subcarrier spacing 312.5 KHz 312.5 KHz Symbol Duration 4 us (800 ns guard interval) 3.6 us (400 ns guard interval) FFT size 64 64(20 MHz)/512 (160 MHz) FEC BCC BCC or LDPC Coding rates 1/2, 2/3, 3/4 1/2, 2/3, 3/4, 5/6 QAM BPSK, QPSK, 16-,64-QAM BPSK, QPSK, 16-,64-,256- QAM Factors Driving the Data Rate Increase 6.93 Gbps QAM 802.11ac (1.3x) FEC rate (1.1x) MIMO (8x) 802.11a Bandwidth (8x) 54 Mbps 802.11 Medium Access Control (MAC) Contention MEDIUM BUSY DIFS PACKET Window • Carrier Sense Multiple Access/Collision Avoidance (CSMA/CA) • A wireless node that wants to transmit performs the following sequence 1.