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I am working as “Technology Roadmap and Network Solutions” engineer at MCI. I have been working on product/ technology’s strategy, vendors’ qualification, envisioning road-map and evolution to next generation technologies. At this job we are investigating E2E 5G standards and work on testbeds to initialize moving towards 5G in Iran. I have two years of work experience as a BSS engineer at HUAWEI where I could participate at integration and swap of BSC/RNC/OSSs and also BTS/NB/eNBs.
My Education background includes M.Sc. in Telecommunications and BSc of Electronics engineering and a recent one year MBA certificate.My research interests focus on digital signal processing, phased arrays and radar signal processing known as Statistical Signal Processing, the subject treats signals as stochastic processes, utilizing their statistical properties to perform signal processing tasks in a manner to raise performance of computational procedures or to eliminate undesired impinging signals from partial measurements.
Before joining Telecom industry I was a freelancer Electronic engineer with dense background in Programming and Electronics softwares and R&D experience on Digital signal processing and FPGA/ARM processors.
email: email@example.com / phone +98 912 505 37 40
Telecommunications Engineering , System branch, Master of Science (MSc)- GPA 3.5/4
Electrical and Electronics Engineering, Bachelor of Science (BSc), with GPA 3.5/4
- understand and stay current on industry trends, emerging technologies & competitive landscape.
- Assess existing facilities' needs for new or modified telecommunications systems.
- Communicate with telecommunications vendors to obtain pricing and technical specifications for available hardware, software, or services.
- Consult with users, administrators, and engineers to identify business and technical requirements for proposed system modifications or technology purchases.
− RNC/BSC (Huawei 6910 and 6900) installation /on site commissioning/swap/critical network activities such as software up-gradation / Expansions and Rehoming.
− handling dense plans in parallel to achieve goals as per plan and simultaneously cut off the costs by arrangements and managing RNC/BSC project plan with AEC/NG/NWI&FRE subcontractors in 4 regions in the Country (R1, R2, R3 and R4).
- Participating in more than 500 site swap/On site experience (2G/3G/LTE [FDD,TDD],MB-IOT)(Huawei Products).
- Coordinating and arrange subcontractor jobs/ Material Delivery and PO payment to implement project activities.
- Analysis and monitoring of various network reports, KPIs in order assure the required QOS as per customer requirements and preparation for ATP,PAT,PAC of RNC/BSCs.
− Hands on FPGA design and development experience on Xilinx FPGAs and Code development. − Advanced Visual c and Matlab programmer, coding related software and firmwares.
During my master studies I had the chance to work part time as a lecturer. Below are the class topics. - Teaching MATLAB engineering programming language for 3 terms. - Presenting ICDL courses explicitly Excel for 3 terms.
"Master of Business Administration-MBA"
"Huawei Certified Network Associate-Route & switch"
Huawei Co Iranian.
"Huawei Certified Network Associate-LTE"
Huawei Co Iranian.
Huawei Certified Network Proffesional-LTE
Huawei Co Iranian.
The image is at Iran 2018 telecom Exhibition and I was the owner for the digital health care project. As could be seen in the footer of background image, my job at MCI is involved with studying and roadmap planning for Technology strategy/Standards and E2E Network Architecture including but not limited to Network Slicing, NFV and virtualization, Transport, MEC, SON, IoT, Spectrum, 5G Framing, 5G RAN, RAN Sharing, Massive MIMO, Coding and modulation, Interworking, Carrier aggregation, LAA, 5G Device, 5G SIM, D2D and Relay, V2X, 5G Services, etc.
I worked at Huawei for 2 years and I had been involved with training, work overtime and night time shifts to do live network operations on RNC/BSCs and also integrate BTS/NB and eNBs. I had the chance to learn a lot about real telecom network in Radio Access Network. (top-left image: My first week after joining Huawei, top-right image: I was on shift for night time CR to Rehome 3G sites to new RNC, bottom-left image: A session to practice Huawei's solutions, bottom-right image: On site commissioning of RNC/BSC in Tabriz province)
The picture was in Iran Telecom exhibition 2018 and it shows the Epidural Heematoma Craniotomy Telesurgery Robot which was invented in a joint project between MCI and TMU university to illustrate 5G healthcare services. I was project manager and supervised E2E design and implementation of the robot. US patent of the robot is in the acceptance procedure.
Multicultural work atmosphere and teammates from china, Pakistan and India and others from Nokia and Eriksson from Finland and Sweden helped me to improve my interpersonal and behavioral identity. Moreover the Human resource management and Organizational Behavior lessons in my MBA studies were looking more practical and useful at this place. ( The picture is at MTNi company and after testing TD-LTE testbed at the conference room.)
After BSc studies in Electronics I started to do freelancer work on FPGA and ARM processors by designing digital circuits/ designing PCBs and soldering and at the end programming and testing them. I was programming with c/assembly/VHDL and Verilog. but after shifting to Telecom carrier I had fewer time for electronics field
Conformal arrays are increasingly used in recent wireless communication systems due to their flexibility in mounting on arbitrary surfaces. Many of such systems require working with broadband signals. However, designing conformal arrays has been limited mostly to pattern synthesis techniques due to the complexity imposed by the different contribution of individual antenna patterns to the overall array response. Such pattern synthesis techniques greatly confine the application of the beamformer in dynamic environments since they are fundamentally non-adaptive data independent methods. In this article, the conventional space–time broadband generalized sidelobe canceller (GSC) is used to develop an adaptive method for an arbitrarily-shaped conformal array. The constraint matrix assumed for the main beam of the conventional GSC structure is modified to incorporate the pattern of each individual element. This treatment allows the element responses to be directly involved in the weight adjustment algorithm and contribute to the array overall response without having any additional complexity. The proposed method can handle different types of the constraints, although the analysis presented here is based on the angle–frequency domain constraints which nevertheless eliminates the presence of the pre-steering delays and ensures a frequency invariant beampatterm required for wideband beamforming. The simulation results which are presented for a typical cylindrical array show that the proposed method can create the desired broadband beampattern with high performance and in an adaptive manner. Keywords: Conformal arrays Wireless communications Broadband beamforming Generalized sidelobe canceller Space–time processing
The nested array structure has attracted great attention recently due to its ability in reducing the number of sensors in an array and at the same time preserving the array performance. While a uniform linear array (ULA) can detect at most N-1 sources with N sensors, a nested array can provide O(N^2) degrees of freedom with the same number of sensors; allowing us to detect K sources with N sensors. Direction of arrival (DOA) estimation in a conformal array is a challenging task. In this article, by breaking the conformal array into smaller sub-arrays and using an interpolation technique, we employ the nested array principles to detect more number of sources than sensors. This comes at the cost of more snapshots and lower resolution, in the DOA estimation of an arbitrarily-shaped conformal array. Each sub-array in the conformal array is selected such that the “shadow effect” which leads to an incomplete steering vector in the DOA estimation algorithm is eliminated. The selected sub-arrays are then transformed to virtual nested arrays where more degrees of freedom can be obtained by applying the MUSIC algorithm for DOA estimation. The application of our proposed method is highlighted by considering a set of comprehensive examples for cylindrical and spherical arrays.
MCI Office building, Vanak St, Tehran - Iran
+98 912 505 37 40