Call for Proposals Microwave HIRP OPEN 2016 1
Copyright Huawei Technologies Co., Ltd. 2015-016. All rights reserved. No part of this document may be reproduced or transmitted in any form or by any means without prior written consent of Huawei Technologies Co., Ltd. Trademarks and Permissions and other Huawei trademarks are trademarks of Huawei Technologies Co., Ltd. All other trademarks and trade names mentioned in this document are the property of their respective holders. Confidentiality All information in this document (including, but not limited to interface protocols, parameters, flowchart and formula) is the confidential information of Huawei Technologies Co., Ltd and its affiliates. Any and all recipient shall keep this document in confidence with the same degree of care as used for its own confidential information and shall not publish or disclose wholly or in part to any other party without Huawei Technologies Co., Ltd s prior written consent. Notice Unless otherwise agreed by Huawei Technologies Co., Ltd, all the information in this document is subject to change without notice. Every effort has been made in the preparation of this document to ensure accuracy of the contents, but all statements, information, and recommendations in this document do not constitute the warranty of any kind, express or implied. Distribution Without the written consent of Huawei Technologies Co., Ltd, this document cannot be distributed except for the purpose of Huawei Innovation R&D Projects and within those who have participated in Huawei Innovation R&D Projects. Application Deadline: 09:00 A.M., 18 th July, 2016 (Beijing Standard Time, GMT+8). If you have any questions or suggestions about HIRP OPEN 2016, please send Email (innovation@huawei.com). We will reply as soon as possible. 2
Catalog HIRPO20161101: New RF Material Application in Microwave Communication... 4 HIRPO20161102: Phase Pop Detection and Estimation... 8 HIRPO20161103: Relative Delay Estimation Between LOS-MIMO Channels... 10 HIRPO20161104: Hub-site Interference Cancellation... 13 3
HIRPO20161101: New RF Material Application in Microwave Communication 1 Theme: Microwave 2 Subject: microwave technology research List of Abbreviations LC: Liquid Crystal MTM: Metamaterial PC: Photonics Crystal EBG: Electromagnetic Band Gap PBG: Photonic Band Gap 3 Background Microwave communication spectrum is transferring to millimeter-wave/thz for getting more bandwidth. For such high frequency, several issues are raised for the RF front-end design: 1) Relatively high insertion loss: the insertion loss of waveguide and insertion loss has little impact on system performance. However, for mm-wave/thz system, the insertion loss will become a main concern; 2) Wideband: due to more bandwidth is allocated on mm-wave/thz, the relative bandwidth is around 20% which is a great challenge for antenna and some specific waveguide structure; even for traditional band, the wideband capability are also very beneficial for reducing the types of components. For example, an antenna can cover multi-band, e.g., 13-23GHz, can provide very 4
promising flexibility with single antenna equipment. 3) Phase and amplitude error: sight manufacture error will bring large phase/amplitude change due to the very short wavelength. This will impact phased array and MIMO system design. 4) Tunable components: phased array antenna is a hot topic since beamforming capability will be an important feature for millimeter-wave/thz system deployment due to the very narrow beam. For achieving this system, the phase shifting components is necessary for tuning the phase of each antenna elements. Metamaterial Researchers are working on Metamaterial which is a kind of artificial periodic structure which could achieve EM propagation with opposite phase propagation direction and desired phase/amplitude distribution. By using this effect, it is possible to mitigate the frequency selective issue for traditional material, and achieve structure/antenna miniature. By this way, the above issues (wideband, insertion loss, error control) could be handled. PC/PBG/EBG material Similar as Metamaterial, the photonic crystal material is also a kind of artificial periodic structure. The difference is that photonic crystal material creates electromagnetic band gap effects which block/reflect almost all signals on certain frequency range. The effect can be used to design waveguide structure and antenna substrate with very low insertion loss. Liquid Crystal For implementing a phased array antenna, it is typically required to integrate phase shifting components in antenna. However, the cost is too high by integrating a lot of MMIC phase shifter into antenna, but the performance is still 5
bad. Now researchers are looking for some types of suitable tunable elements operating at millimeter-wave/thz. Liquid crystal is one of the materials could be achieve very low cost and easy fabrication. The Permittivity ε of liquid crystal material can be voltage-controlled by the effect of the molecular arrangement change with different voltage. The phase shifting can be achieved with this effect. 4 Scope Problem to be resolved: a detailed consultant report with some simulation results for understanding the feasibility to apply the new RF material in microwave system. Statement of Work 1 metamaterial and photonic crystal application in mm-wave/thz WI1 WI2 WI3 WI4 Metamaterial/PC design methodology and the requirement for fabrication Technology status, including industry status and research status Theoretical design, simulation and feasibility analysis, include but not limited, waveguide, transmission line, power distribution network, leaky-wave antenna, antenna substrate, antenna unit, wideband antenna feeder (e.g., 13~23GHz),.,etc. Technical challenges and future trends; Statement of Work 2 Liquid crystal application in mm-wave/thz WI1 WI2 WI2 WI3 Technology status, including industry status and research status Liquid crystal tunable components design and simulation, include but not limited, phase shifter, tunable filter,. etc. Liquid crystal reconfigurable reflectarray design and simulation Technical challenges and future trends; 5 Expected Outcome and Deliverables D1 Consultant report on metamaterial and photonic crystal 6
D2 D3 application in mm-wave/thz Consultant report on Liquid crystal application in mm-wave/thz Simulation example projects; 6 Phased Project Plan Phase1 (~3 months): Survey the state of the metamaterial and photonic crystal application in mm-wave/thz and provide the related technical report; Phase2 (~5 months): Research on Liquid crystal application in mm-wave/thz and provide the related technical report; Phase3 (~4 months): Simulation and modification. Click here to back to the Top Page 7
HIRPO20161102: Phase Pop Detection and Estimation 1 Theme: Microwave 2 Subject: digital signal detection and estimation 3 Background In order to achieve higher capacity, microwave backhaul transmission goes to higher frequency, higher order modulation, and multiple channels. Unfortunately, when we go to higher frequency, phase pop will be more serious. Phase pop will introduce burst errors for the link, especially for higher order modulation which is quite sensitive to phase pop. In the end, it makes the higher order modulation with much low availability. 4 Scope Problem to be resolved: jw1 t e jw3t e n1 t s1 j w1 w3 t j w2 w3 t 1 1 2 r t s t e as t e a a n2 t s2 j w1 w4 t j w2 w4 t 2 1 2 r t as t e s t e jw2t e jw4t e As illustrated above, if there is no phase pop we assume w1 w2 w3 w4. We can recover the transmitted signal 8 2 s t r t ar t a. But if there is 1 1 2 1 a phase pop happening in oscillator 1, 2, 3 or 4, we can t recovery the exact
transmitted symbol. The best way to figure out this problem is finding a method to detect and estimate the phase pop happening in oscillator 1, 2, 3 or 4, and compensate it. 5 Expected Outcome and Deliverables Mathematic derivation for phase pop detection and estimation algorithm is needed. Simulation report (matlab or simulink) is supposed to deliver to Huawei. 6 Phased Project Plan Phase1 (~6 months): Design the phase pop detection and estimation algorithm. Technical document for phase pop detection and estimation algorithm; Phase2 (~6 months): Simulation report for the proposed algorithm. Complexity analysis and implementation optimization. Click here to back to the Top Page 9
HIRPO20161103: Relative Delay Estimation Between LOS-MIMO Channels 1 Theme: Microwave 2 Subject: microwave communication List of Abbreviations Los: Line of Sight MIMO: Multiple Input and Multiple Output 3 Background Trend,challenge,value and objectives The specific explanation of each parameter: 10
The specific explanation of each parameter: 1. t1, t2, t3, t4 is the time delay between transmitted signals, where t1, t2, t3, t4 is independent, among t1, t2, t3, t4 the biggest difference is 100ns, for example (t1 = 1ns, t2 = 50ns, t3 = 80ns, t4 = 101ns); 2. e^j*(w1*t), e^j*(w2*t), e^j*(w3*t), e^j*(w4*t) are signal carriers, 4 carrier frequencies are independent to each other; 3. e^j*ph1(t), e^j*ph2(t), e^j*ph3(t), e^j*ph4(t) are phase noise, 4 channels are independent to each other, the phase noise model is Wiener chirp, The quota is -70dBc/10Kz,-90dBC/100Khz; 4. 4 channels multipath is independent, the model is rummler 2 ray model, the notch depth is about -20db; 5. g1, g2, g3, g4 is gain, g1, g2, g3, g4 is independent, g1 and g2 biggest difference 8db, g3 and g4 biggest difference 8db; g1/g2 and g3/g4 biggest difference 18db; for example (g1 = 1, g2 = 1/6, g3 = 1/60, g4 = 1/10); 6. e^j*[w2*t + ph2(t)] is receiver carrier, it is different from w1, and the difference is less than 500Khz, ph2(t) is phase noise, the phase noise model is Wiener chirp, The quota is -70dBc/10Kz,-90dBC/100Khz; 7. awgn is the channel white noise, snr = 40Db. 4 Scope Problem to be resolved: In having signals disturbance, frequency offset and multi-path, phase noise in situation, can estimate the time delay information accurately. 11
5 Expected Outcome and Deliverables We need an algorithm design to estimate delay information accurately, including reports, simulation results and source code. 6 Phased Project Plan Phase1 (~6 months): Theory and feasibility research for the algorithm. Technical analysis document for time delay estimation algorithm. Phase2 (~6 months): The performance optimization of the algorithm. Performance report for time delay estimation algorithm. Click here to back to the Top Page 12
HIRPO20161104: Hub-site Interference Cancellation 1 Theme: Microwave 2 Subject: microwave communication List of Abbreviations UL: Uplink DL: Downlink MIMO: Multiple input and multiple output 3 Background Trend,challenge,value and objectives figure 1. Hub-site transmission 13
The microwave hub-site transmission is shown in figure 1. There are two microwave links 1 and 2 sharing the same frequency 1 for uplink and frequency 2 for downlink. If the angle between link 1 and 2 is too small, the link 1 and 2 should interfere each other. In current deployment, the angle should greater than 60 degree for x-polarization and 90 degree for co-polarization to achieve enough isolation between link 1 and 2. The link interference brought strong constraints to network programming. Trend: The market and network department want to reduce the angle constraints by new practical algorithm design. Challenge: link interference cancellation. For example, pre-coding, multi-user detection, et. al. Value and objective: decrease the angle to less than 30degree for co-polarization, and the minimum to 10 degree for co-polarization. The small angle constraints brought more flexibility to network programming. 4 Scope Decrease the angle to less than 30degree for co-polarization, and the minimum to 10 degree for co-polarization with tolerable performance loss (for example, 1dB) of link 1/2. The link 1 and 2 may have different bandwidths, transmission power, communication distance, and modulation. 5 Expected Outcome and Deliverables We need new solution of link interference cancellation, including reports, simulation results and source code. 14
6 Phased Project Plan Phase1 (~6 months): Theory and feasibility analysis. Answer the smallest angle can achieve in theory and the main algorithm selection; Phase 2 (~6 months): Performance optimization and algorithm complexity analysis, give detail implemental structure design suggestion. Click here to back to the Top Page 15