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News Article | May 11, 2017

Revenues – $76.0 million, up 27.1% from the first quarter of 2016, and down 10.2% from the fourth quarter of 2016. Gross margin – 29.3%, compared to 35.6% in the first quarter of 2016 and 32.5% in the fourth quarter of 2016. Operating income – $2.0 million, compared to operating income of $1.2 million in the first quarter of 2016 and operating income of $8.5 million in the fourth quarter of 2016. Net loss – $(0.1) million or $(0.00) per diluted share. Net loss for the first quarter of 2016 was $(0.4) million, or $(0.01) per diluted share. Net income for the fourth quarter of 2016 was $8.3 million, or $0.10 per diluted share. Non-GAAP results – gross margin was 30.0%, operating profit was $2.9 million, and net income was $0.9 million, or $0.01 per diluted share. Non-GAAP results exclude adjustments of $1.0 million.  For a reconciliation of GAAP to non-GAAP results, see the attached tables. Cash and cash equivalents – $36.5 million at March 31, 2017, compared to $36.3 million at December 31, 2016. "Q1 was in line with expectations and we increased our net cash position to $25 million, using our free cash flow to further reduce our debt," said Ira Palti, president and CEO of Ceragon. "Our book-to-bill ratio was substantially above 1:1 in the first quarter. Our gross margin fluctuates from quarter to quarter, mainly based on geographic mix of revenue. Based on our bookings, funnel of opportunities and assumptions about timing of revenue, we expect our gross margin to improve as the year progresses due to a more favorable revenue mix, and we continue to target substantial growth in net income for 2017 compared to 2016." A conference call to discuss the results will begin at 9:00 a.m. EDT. Investors are invited to join the Company's teleconference by calling USA: (800) 230-1096 or International: +1 (612) 288-0337, from 8:50 a.m. EDT. The call-in lines will be available on a first-come, first-serve basis. Investors can also listen to the call live via the Internet by accessing Ceragon Networks' website at the investors' page:, selecting the webcast link, and following the registration instructions. If you are unable to join us live, the replay numbers are: USA: (800) 475-6701 or International +1 (320) 365-3844 Access Code: 421730. A replay of both the call and the webcast will be available through June 11, 2017. Ceragon Networks Ltd. (NASDAQ: CRNT) is the world's #1 wireless backhaul specialist. We help operators and other service providers worldwide increase operational efficiency and enhance end customers' quality of experience with innovative wireless backhaul solutions. Our customers include wireless service providers, public safety organizations, government agencies and utility companies, which use our solutions to deliver 4G, mission-critical multimedia services and other applications at high reliability and speed. Ceragon's unique multicore technology provides highly reliable, high-capacity 4G wireless backhaul with minimal use of spectrum, power and other resources. It enables increased productivity, as well as simple and quick network modernization. We deliver a range of professional services that ensure efficient network rollout and optimization to achieve the highest value for our customers. Our solutions are deployed by more than 460 service providers, as well as hundreds of private network owners, in more than 130 countries. Ceragon Networks® and FibeAir® are registered trademarks of Ceragon Networks Ltd. in the United States and other countries. CERAGON ® is a trademark of Ceragon Networks Ltd., registered in various countries. Other names mentioned are owned by their respective holders. This press release contains statements concerning Ceragon's future prospects that are "forward-looking statements" as defined in the Private Securities Litigation Reform Act of 1995. Such forward-looking statements are based on the current beliefs, expectations and assumptions of Ceragon's management. Examples of forward-looking statements include: projections of revenues, net income, gross margin, capital expenditures and liquidity, competitive pressures, growth prospects, product development, financial resources, cost savings and other financial matters. You may identify these and other forward-looking statements by the use of words such as "may", "plans", "anticipates", "believes", "estimates", "targets", "expects", "intends", "potential" or the negative of such terms, or other comparable terminology. These forward-looking statements are subject to risks and uncertainties that may cause actual results to differ materially, including risks associated with a decline in revenues; the risk of a decrease in the amount of business coming from a certain geographic region, from which a significant portion of Ceragon's business is generated; the risk associated with the a change in Ceragon's gross margin as a result of changes in the geographic mix of revenues; the risk associated with the loss of a single customer or customer group, which represents a significant portion of Ceragon's revenues; the risk associated with Ceragon's failure to effectively compete with other wireless equipment providers; the risk relating to the concentration of Ceragon's business in India, Latin America, Africa, and in developing nations and the political, economic and regulatory risks from doing business in those regions, including  potential currency restrictions; and other risks and uncertainties detailed from time to time in Ceragon's Annual Report on Form 20-F and Ceragon's other filings with the Securities and Exchange Commission that represent our views only as of the date they are made and should not be relied upon as representing our views as of any subsequent date. We do not assume any obligation to update any forward-looking statements. To view the original version on PR Newswire, visit:

Centralized RAN or C-RAN is an architectural shift in RAN (Radio Access Network) design, where the bulk of baseband processing is centralized and aggregated for a large number of distributed radio nodes. In comparison to standalone clusters of base stations, C-RAN provides significant performance and economic benefits such as baseband pooling, enhanced coordination between cells, virtualization, network extensibility, smaller deployment footprint and reduced power consumption. Although Japan and South Korea continue to spearhead commercial C-RAN investments, interest is also growing in other parts of the world. Mobile operators such as China Mobile, Orange, Verizon and Sprint are already investing in the technology. SNS Research estimates that global investments on C-RAN architecture networks will reach over $7 Billion by the end of 2016. The market is further expected to grow at a CAGR of nearly 20% between 2016 and 2020. These investments will include spending on RRHs (Remote Radio Heads), BBUs (Baseband Units) and fronthaul transport networking gear. For more information or any query mail at The “C-RAN (Centralized Radio Access Network) Ecosystem: 2016 - 2030 – Opportunities, Challenges, Strategies & Forecasts” report presents an in-depth assessment of the C-RAN ecosystem including enabling technologies, key trends, market drivers, challenges, standardization, regulatory landscape, deployment models, operator case studies, opportunities, future roadmap, value chain, ecosystem player profiles and strategies. The report also presents forecasts for C-RAN infrastructure investments from 2016 till 2030. The forecasts cover 3 individual submarkets and 6 regions. The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report. List of Companies Mentioned 3GPP (3rd Generation Partnership Project) 6WIND Absolute Analysis Accelink Technologies ADLINK Technology ADTRAN ADVA Optical Networking Advantech Airspan Networks Airvana Alcatel-Lucent Altera Corporation Altiostar Networks Amarisoft América Móvil Group Anite Anritsu Corporation Aquantia ARM Holdings Artemis Networks Artesyn Embedded Technologies Artiza Networks ASOCS ASTRI (Hong Kong Applied Science and Technology Research Institute) Avago Technologies Aviat Networks Axxcelera Broadband Wireless (Moseley Associates) BLiNQ Networks Blu Wireless Technology BluWan BridgeWave Communications Broadcom Corporation Cambium Networks Cavium CBNL (Cambridge Broadband Networks Ltd.) CCS (Cambridge Communication Systems) Ceragon China Mobile China Telecom Ciena Corporation Cisco Systems Cobham Wireless Coherent Logix Comcores ApS CommAgility 2 Chapter 2: An Overview of C-RAN 2.1 What is C-RAN? 2.1.1 Decoupling the Base Station 2.1.2 Brief History 2.2 Competing RAN Architectures 2.2.1 Traditional Macrocells 2.2.2 Small Cells 2.2.3 DAS (Distributed Antenna Systems) 2.3 Key Architectural Components for C-RAN 2.3.1 RRH (Remote Radio Head) 2.3.2 BBU (Baseband Unit) 2.3.3 Fronthaul 2.4 Baseband Functional Split Approaches 2.4.1 Fully Centralized Baseband Processing 2.4.2 Partially Centralized: RRH with L1 & L2 Baseband Capabilities 2.5 Fronthaul Interface Options 2.5.1 CPRI (Common Public Radio Interface) 2.5.2 OBSAI (Open Base Station Architecture Initiative) 2.5.3 ORI (Open Radio Interface) 2.5.4 Ethernet 2.6 Cloud RAN: Virtualizing C-RAN 2.6.1 Leveraging Commodity Technologies 2.6.2 Moving RAN to the Cloud 2.7 Market Growth Drivers 2.7.1 Capacity & Coverage Improvement: Addressing the Mobile Data Traffic Tsunami 2.7.2 Towards Greener RANs: Cost Efficiency & Energy Savings 2.7.3 Agile & Flexible Network Architecture 2.7.4 Enhanced Support for LTE-Advanced Features 2.7.5 The Benefits of Virtualization 2.7.6 Impact of 5G Rollouts 2.8 Market Barriers 2.8.1 Fronthaul Investments 2.8.2 Virtualization Challenges 2.8.3 Migration from Legacy Architectures 3 Chapter 3: Standardization & Regulatory Initiatives 3.1 3GPP (3rd Generation Partnership Project) 3.2 ETSI (European Telecommunications Standards Institute) 3.2.1 ORI for Fronthaul 3.2.2 NFV (Network Functions Virtualization) for Cloud RAN 3.2.3 MEC (Mobile Edge Computing) 3.3 NGMN (Next Generation Mobile Networks) Alliance 3.3.1 P-CRAN (Project Centralized RAN) 3.4 Small Cell Forum 3.4.1 Release 5.1: Small Cell Virtualization 3.5 MEF (Metro Ethernet Forum) 3.5.1 Ethernet Transport 3.6 IEEE (Institute of Electrical and Electronics Engineers) 3.6.1 IEEE 802.1CM: Time-Sensitive Networking for Fronthaul 3.6.2 IEEE P1904.3: Standard for RoE (Radio over Ethernet) Encapsulations and Mappings 3.6.3 Other Standards & Work Groups 3.7 ITU (International Telecommunications Union) 3.7.1 Focus Group on IMT-2020 For more information or any query mail at ABOUT US: Wise Guy Reports is part of the Wise Guy Consultants Pvt. Ltd. and offers premium progressive statistical surveying, market research reports, analysis & forecast data for industries and governments around the globe. Wise Guy Reports features an exhaustive list of market research reports from hundreds of publishers worldwide. We boast a database spanning virtually every market category and an even more comprehensive collection of market research reports under these categories and sub-categories. For more information, please visit

Bercovich D.,Ceragon | Contreras L.M.,Telefonica | Haddad Y.,Jerusalem College of Technology | Adam A.,Ceragon | Bernardos C.J.,Charles III University of Madrid
Mobile Networks and Applications | Year: 2015

Traditionally microwave backhaul has been configured and operated in a static manner by means of vendor specific management systems. This mode of operation will be difficult to adapt to the new challenges originated by 5G networks. New mechanisms for adaptation and flexibility are required also in this network segment. The usage of a signaled control plane solution (based on OpenFlow) will facilitate the operation and will provide means for automation of actions on the wireless transport network segment. In addition to that, a standard control plane helps to reach the multi-vendor approach reducing complexity and variety of current per-vendor operation. This paper presents the motivation for the introduction of programmability concepts in wireless transport networks and illustrate the applicability of such control plane with two relevant use cases for dynamically controlling wireless transport nodes in 5G networks. Extensions to OpenFlow protocol are also introduced for building Software Defined Wireless Transport Networks (SDWTNs). © 2015 Springer Science+Business Media New York

Miranda J.F.,Norwegian University of Science and Technology | Gjertsen K.M.,Ceragon | Olavsbraten M.,Norwegian University of Science and Technology
RWW 2012 - Proceedings: 2012 IEEE Topical Conference on Power Amplifiers for Wireless and Radio Applications, PAWR 2012 | Year: 2012

Driving the gate and drain biases as a function of the input power significantly enhances the efficiency of class-A and -AB amplifiers. These functions are described as low-order polynomials in order to limit the bias bandwidth, especially at the drain. This work formulates the optimization of the bias polynomial coefficients as a constrained optimization problem, describing in detail the formulation of the constraints, the structure of the cost function, as well as a relevant linearity measure. Using the random search algorithm within the field of stochastic search optimization, a set of solutions was obtained yielding power added efficiency nearly as high as 50 %, while the linearity was comparable to that of a class-A amplifier. © 2012 IEEE.

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