Outdoor to Indoor Penetration Loss at 28 GHz for Fixed Wireless Access

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to Penetration Loss at 28 GHz for Fixed Wireless Access C. U. Bas, Student Member, IEEE, R. Wang, Student Member, IEEE, T. Choi, Student Member, IEEE, S. Hur 3, Member, IEEE, K. Whang 3, Member, IEEE, J. Park 3, Member, IEEE, J. Zhang 2, Fellow, IEEE, A. F. Molisch, Fellow, IEEE University of Southern California, Los Angeles, CA, USA, 2 Samsung Research America, Richardson, TX, USA 3 Samsung Electronics, Suwon, Korea arxiv:7.68v [cs.it] Nov 27 Abstract This paper present the results from a 28 GHz channel sounding campaign performed to investigate the effects of outdoor to indoor penetration on the wireless propagation channel characteristics for an urban microcell in a fixed wireless access scenario. The measurements are performed with a realtime channel sounder, which can measure path loss up to 69 db, and equipped with phased array antennas that allows electrical beam steering for directionally resolved measurements in dynamic environments. Thanks to the short measurement time and the excellent phase stability of the system, we obtain both directional and omnidirectional channel power delay profiles without any delay uncertainty. For outdoor and indoor receiver locations, we compare path loss, delay spreads and angular spreads obtained for two different types of buildings. I. INTRODUCTION The number of connected devices and their data requirements have been increasing exponentially. Especially with the introduction of new technologies such as augmented reality, virtual reality and Ultra-HD video streaming, monthly global IP traffic is expected to reach 278 exabytes by 22 []. So far this demand for broadband internet is fulfilled mostly with fiber-optical links. An approach challenging costly fiber-optical deployments is leveraging the use of Fixed Wireless Access (FWA), also known as Local Multi-point Distribution Service (LMDS). When combined with the large bandwidth available at millimeter-wave (mm-wave) frequencies, Gbps broadband connections to multiple users can be realized via FWA [2] [3]. The prospect of utilizing the fallow spectrum at the frequencies higher than 6 GHz fueled the interest in mm-wave propagation channel measurements [4] [5] [6]. Especially, the 28 GHz band attracts a lot of interest thanks to comparatively lower hardware and implementation costs due to a relatively lower carrier frequency. An accurate channel model is crucial for an efficient wireless system design. to indoor penetration loss is one of the most important factors of affecting the deployment of FWA or similar systems. Especially at mm-wave frequencies, the penetration loss is shown to be higher and highly sensitive to the small changes in the material types. Furthermore, at mmwave frequencies, the angular characteristics of the propagation channel are of the utmost importance, since these systems envisioned to be highly dependent on the beam-forming gain to overcome higher path loss at higher frequencies [7]. Most of the current literature at 28 GHz focus on outdoor to outdoor measurements. Deviating from this trend, [8] performed outdoor to indoor measurements at 28 GHz by using a rotating horn antenna channel sounder which can provide an accurate absolute delay information. They observed a larger number of clusters, larger excess delays and larger angular spreads indoor. However, there was a limited number of indoor RX locations and a single type of building was investigated. In [9], the authors showed that the excess loss due to outdoor to indoor penetration at 28 GHz can vary from 3 db to 6 db depending on the RX location and the construction material types. Ref. [] investigates the penetration loss for external and internal walls at different carrier frequencies ranging from.8 GHz to 28 GHz, and proposes a linear model for frequency dependency of the penetration loss. In [], the authors present results for penetration loss and reflection coefficient measurements for different types of building materials. For example; the penetration loss for clear glass is measured as 3.9 db while it is 4 db for tinted glass. A summary of penetration loss results, and a frequency-dependent model, is given in [2] and also used in 3GPP. None of references [9] [2] provide any delay or angular statistics. There are other studies investigating the outdoor to indoor propagation channel at different mm-wave frequencies. Ref. [3] provides delay and angular statistics at 2 GHz. For a urban microcellular environment, [4] presents the penetration loss at 26 GHz and 37 GHz, and compares these with microwave frequencies. Finally the references [5], [6] and [7] discusses outdoor to indoor propagation measurement campaigns performed around 6 GHz. In this work, we present the results from a 28 GHz channel sounding campaign performed to investigate the effects of outdoor to indoor penetration on the channel characteristics for a fixed wireless access scenario. Similar to a real deployment, the measurements capture the combined effect of path loss, foliage loss and the outdoor to indoor penetration loss. A realtime channel sounder equipped with phased array antennas was used for the measurements [8]. The phased arrays form beams at the different TX and RX angles and switch between these beams in microseconds, enabling directionally resolved results while ensuring minimal variation in the environment during the measurements. We provide examples of power delay profiles and extracted multi-path components (MPC) and compare path loss, delay spread and angular characteristics for indoor and outdoor RX locations. The rest of the paper is organized as follows. Section II describes the measurement equipment and the configuration during this channel sounding campaign. Section III provides

Table I SOUNDER SPECIFICATIONS Hardware Specifications Center Frequency 27.85 GHz Instantaneous Bandwidth 4 MHz Antenna array size 8 by 2 Horizontal beam steering (RX/TX) 36 / 9 Horizontal 3dB beam width 2 Vertical beam steering (RX/TX) 3 to 3 / Vertical 3dB beam width 22 Horizontal/Vertical steering steps 5 / Beam switching speed 2µs TX EIRP 57 dbm RX noise figure 5 db ADC/AWG resolution /5-bit Data streaming speed 7 MBps Sounding Waveform Specifications Waveform duration 2 µs Repetition per beam pair Number of tones 8 Tone spacing 5 khz PAPR.4 db Total sweep time.8 ms (each 9 RX Sector) details about the two measurement scenarios under investigation. Section IV presents results for path loss, delay and angular statistics for indoor and outdoor RX locations. Finally, Section V summarizes results and suggests future work. II. MEASUREMENT SETUP In this campaign, we used a switched-beam, wide-band mmwave sounder with 4 MHz real-time bandwidth [8].The sounding signal is a multi-tone signal which consists of equally spaced 8 tones covering 4 MHz. A low peak to average power ratio (PAPR) of.4 db is achieved by manipulating the phases of individual tones as suggested in [9]. This allows us to transmit with power as close as possible to the db compression point of the power amplifiers without driving them into saturation. Both the TX and the RX are equipped with 2 by 8 rectangular phased array antennas capable of forming beams that can be electronically steered with 5 resolution in the range of [ 45, 45 ] in azimuth and [ 3, 3 ] in elevation. During this measurement campaign we utilize a single elevation angle with 9 azimuth angles for the TX, and 7 elevation angles along with 9 azimuth angles for the RX. With an averaging factor of, the total sweep time is.8 ms for 2527 total beam pairs. Since phased arrays cover 9 sectors, we rotated the RX to {, 9, 8, 27 } to cover 36 while using a single orientation at the TX. Consequently, for each measurement location, we obtain a frequency response matrix of size 7 by 72 by 9 by 8. Moreover, thanks to the beam-forming gain, the TX EIRP is 57 dbm, and the measurable path loss is 59 db without considering any averaging or spreading gain. Including the averaging ratio used in this campaign the measurable pathloss is 69 db. By using GPS-disciplined Rubidium frequency references, we were able to achieve both short-time and longtime phase stability. Combined with the short measurement TX Receiver Orientations 9 27 TX direction degrees 85 m Figure. TX and RX locations for SFU 8 m 3m O O2 Patio I2 I9 I I I8 I7 I6 O3 O4 3m I3 I2 I O5 I5 I4 2.5m.5m Figure 2. Layout of receivers for SFU RX time this limits the phase drift between TX and RX, enabling phase-coherent sounding of all beam pairs even when TX and RX are physically separated and have no cabled connection for synchronization. Consequently, the directional power delay profiles (PDP) can be combined easily to acquire the omnidirectional PDP. Table I summarizes the detailed specification of the sounder and the sounding waveform. References [8] and [2] discuss further details of the sounder setup, the validation measurements, and the data processing. III. MEASUREMENT CAMPAIGN The measurements were performed at two different locations on the University of Southern California campus. In both cases, the RX was on the first floor, while the TX height was on a scissor lift at the height of 5 m imitating an urban micro-cell (UMi) scenario. To investigate the more challenging cases, we chose buildings surrounded by foliage and made sure the angle of the direct path is narrow with respect to the front facade of the target building. A. Single Family Unit Figure shows TX and RX locations on the campus for the first location. The building is a two-story, detached, single family unit using wood frames, as is typical in California.. There is also a covered, first-floor patio wrapping around the building. Measurement points are marked in Figure 2. There are 5 outdoor points placed right in front of the windows on the patio. 2 indoor measurement locations are placed throughout the room as the furniture allows. All RX points have the same height. The TX is placed on the same street with the house at a distance of 85 m at an angle of according to the given 2m

RX -2-25 -3 TX -35-4 Figure 3. TX and RX locations for MSB.94m.6m 2.58m 4.62m 4.64m m m.4m m I9 I8 I7 O3 I6 I5 I4 O2 3.7m 3.5m 3.5m I3 I2 I O.94m 4.7m Receiver 2.4m orientations 27 4.m Figure 4. Layout of receivers in the MSB 8 9 TX direction 6 degrees 4 m directions in Figure. The direct path from TX to the house is blocked by foliage from trees. Additionally, points O and O2 are also shadowed by the building across the street. B. Multi-Story Building The second building is a multi-story, brick building (MSB) surrounded by heavy foliage as shown in Figure 3. The TX-RX distance is 4 m, and the angle of the direct path is 6. Three outdoor measurement locations are just outside of the three front-facing windows. For each window, there are three indoor locations placed on a line along with the corresponding outdoor point. The distances from the indoor measurement points to the window are 4 cm,.4 m and 2.4 m, Figure 4. IV. RESULTS In this section we compare the path-loss, root mean square delay spreads (RMS-DS) and direction of arrival (DoA) statistics for outdoor and indoor measurements for both scenarios. Figure 6. Path gains in db for the RX locations in the SFU, red arrows indicate the mean direction of arrivals, black arrows indicate the RX beam direction with the highest power..8.6.4.2-45 -4-35 -3-25 -2-5 A. Single Family Unit Figure 7. CDF of path gains in the SFU Figure 5 shows the power delay profiles (PDP) for an outdoor (O3) and an indoor (I6) RX points. In this particular case, the excess loss due to penetration is as high as 2 db. Figures 6 and 7 respectively show the path gain values and their cumulative distribution functions for all RX points. The free space path loss for 85 m at 28 GHz is 6.7 db. However due shadowing from foliage, the path-loss for the outdoor RX locations varies between 7 db to 35 db with a mean of 27.8 db. According to the path-loss model in [2], based on measurements in a similar environment, the anticipated path loss is 27.4 db for the distance of 85 m which shows a good agreement with our results. The mean path loss for indoor locations is 38.4 db, which is.6 db higher than the meanoutdoor path loss. However if the immediate points outside and inside of the windows are compared, the excess loss vary from db to 2.5 db depending on the windows positions. The mean (DoA) and the directions of the RX beam with the PDP (db) -2-4 -6-8 -O3 -I6 5 7 9 3 5 Delay (ns) Figure 5. Power delay profiles for sample indoor and outdoor points.8.6.4.2 2 3 4 5 6 DOA angular spread (degree) Figure 8. CDF of DoA angular spread in the SFU

RMS-DS (ns) 35-5 3-2 25-25 2-3 5-35 -4 Figure 9. RMS-DS in ns for the RX locations in the SFU.8.6.4.2 5 5 2 25 3 35 4 RMS-DS(ns) Figure. CDF of RMS-DS in the SFU highest power in azimuth are also shown in Figure 6. Although the mean angular spreads are similar for outdoor and indoor measurements, the ranges of values differ significantly as seen in Figure 8. This has important implications for system design. Deployment of antennas indoors might require higher adaptivity of the antenna pattern, and the angular spread could change drastically when relocating the antenna within a room. Figure 9 shows the RMS-DS. As also seen in the CDFs in Figure, indoor and outdoor RMS-DS values do not differ significantly. As summarized in Table II the means, the medians, and the ranges of RMS-DS are fairly similar for the two cases. Furthermore, when the two data sets are compared by using a two-sample Kolmogorov-Smirnov test [22], the null hypothesis of these two data coming from the same underlying distribution is not rejected with a 5% significance level. Table II RMS-DS (NS) FOR SFU Mean Median Max Min 23.89 23.32 36.7 9.34 26.5 27.36 37.33 8.77 B. Multi-Story Building Figure shows the path gains for all measurement locations in the MSB. Since for all indoor locations, multi-path components undergo similar propagation paths, the observed path gains don t vary significantly. The mean path losses for outdoor and indoor locations are 7 db and 39.7 db, respectively. Hence mean excess loss due to outdoor to indoor penetration is 22.7 db. As anticipated, due to the brick walls and smaller number of windows compared to the SFU case, the penetration Figure. Path gains in db for the RX locations in MSB, red arrows indicate mean direction of arrivals,, black arrows indicate the RX beam direction with the highest power..8.6.4.2-45 -4-35 -3-25 -2-5 - Figure 2. CDF of path gains in MSB loss is much higher. Note that neither of these buildings uses energy-saving windows (which would have a much higher attenuation). The detected MPCs, by using the method described in [2], are shown in Figures 4 and 5 for points O and I, respectively. For all indoor locations except I6 and I7, we observed similar angular characteristics where all the significant MPCs are through the front windows. For those two points, the strongest MPC was the one through the hallway on the upper right side of the Figure. The mean angles and the direction of the best RX beams are marked with red and black arrows in Figure. The observed angular spreads are similar for the indoor and outdoor RX points, however, due to the limited number of outdoor locations, it is not certain that the results can be generalized. Compared to the SFU case, the observed angular spread values are within the same range. Figure 6 shows the RMS-DS. For indoor locations, we observed higher RMS-DS in MSB. In fact, the minimum RMS-DS observed.8.6.4.2 3 35 4 45 5 DOA angular spread (degree) Figure 3. CDF of of DoA angular spread in MSB

Elevation (degree) -8-25 -6-3 -4-35 -2-4 -45 2-5 4-5 - -5 5 5 Azimuth (degree) Figure 4. Detected multipath components vs DoA - outdoor O Elevation (degree) -8-5 -6-4 -55-2 -6-65 2 4-5 - -5 5 5 Azimuth (degree) Figure 5. Detected multi-path components vs DoA - indoor I at the MSB-indoor is larger than the maximum RMS-DS for SFU-indoor. 65 RMS-DS (ns) 6 55 5 45 4 35 3 25 Figure 6. RMS-DS in ns for the RX locations in the MSB.8.6.4.2 2 3 4 5 6 RMS-DS(ns) Figure 7. CDF of RMS-DS in MSB 7 V. C ONCLUSION In this paper, we presented results from a channel sounding campaign focusing on outdoor to indoor wireless propagation channel for a micro-cellular scenario at 28 GHz. We presented results for path-loss, penetration loss, delay spread and angular spread statistics for two different type of housing. We observed mean excess losses of.6 db for the single family unit and 22.7 db for the multi-story brick building. For the single-family unit, we also observed that the delay spread statistics are similar for outdoor and indoor receiver locations. However, compared to the single-family unit, the delay spreads in the multi-story building were much larger. In the future, we will perform more measurements to consider other types of buildings and different receiver heights. Finally, we will also try processing the data by using high-resolution parameter extraction such as RIMAX to gain more insights. ACKNOWLEDGEMENTS Part of this work was supported by grants from the National Science Foundation and National Institute of Standards and Technology. The authors would like to thank Dimitris Psychoudakis, Thomas Henige, Robert Monroe for their contribution in the development of the channel sounder. R EFERENCES [] C. V. Forecast, Cisco visual networking index: Global mobile data traffic forecast update, 26 22 white paper, Cisco Public Information, 27. [2] Z. Pi, J. Choi, and R. Heath, Millimeter-wave gigabit broadband evolution toward 5g: fixed access and backhaul, IEEE Communications Magazine, vol. 54, no. 4, pp. 38 44, 26.

[3] J. Wells, Faster than fiber: The future of multi-g/s wireless, IEEE microwave magazine, vol., no. 3, 29. [4] P. B. Papazian, G. A. Hufford, R. J. Achatz, and R. Hoffman, Study of the local multipoint distribution service radio channel, IEEE Transactions on Broadcasting, vol. 43, no. 2, pp. 75 84, 997. [5] A. F. Molisch, A. Karttunen, R. Wang, C. U. Bas, S. Hur, J. Park, and J. Zhang, Millimeter-wave channels in urban environments, in 26 th European Conference on Antennas and Propagation (EuCAP), April 26, pp. 5. [6] T. Rappaport, S. Sun, R. Mayzus, H. Zhao, Y. Azar, K. Wang, G. N. Wong, J. K. Schulz, M. Samimi, and F. Gutierrez, Millimeter wave mobile communications for 5g cellular: It will work! Access, IEEE, vol., pp. 335 349, 23. [7] W. Roh, J. Y. Seol, J. Park, B. Lee, J. Lee, Y. Kim, J. Cho, K. Cheun, and F. Aryanfar, Millimeter-wave beamforming as an enabling technology for 5g cellular communications: theoretical feasibility and prototype results, IEEE Communications Magazine, vol. 52, no. 2, pp. 6 3, February 24. [8] J. Ko, K. Lee, Y. J. Cho, S. Oh, S. Hur, N. G. Kang, J. Park, D. J. Park, and D. H. Cho, Feasibility study and spatial-temporal characteristics analysis for 28 ghz outdoor wireless channel modelling, IET Communications, vol., no. 7, pp. 2352 2362, 26. [9] C. Larsson, F. Harrysson, B. E. Olsson, and J. E. Berg, An outdoor-toindoor propagation scenario at 28 ghz, in The 8th European Conference on Antennas and Propagation (EuCAP 24), April 24, pp. 33 334. [] I. Rodriguez, H. C. Nguyen, I. Z. Kovcs, T. B. Srensen, and P. Mogensen, An empirical outdoor-to-indoor path loss model from below 6 ghz to cmwave frequency bands, IEEE Antennas and Wireless Propagation Letters, vol. 6, pp. 329 332, 27. [] H. Zhao, R. Mayzus, S. Sun, M. Samimi, J. K. Schulz, Y. Azar, K. Wang, G. N. Wong, F. Gutierrez, and T. S. Rappaport, 28 ghz millimeter wave cellular communication measurements for reflection and penetration loss in and around buildings in new york city, in 23 IEEE International Conference on Communications (ICC), June 23, pp. 563 567. [2] K. Haneda, J. Zhang, L. Tan, G. Liu, Y. Zheng, H. Asplund, J. Li, Y. Wang, D. Steer, C. Li et al., 5g 3gpp-like channel models for outdoor urban microcellular and macrocellular environments, in Vehicular Technology Conference (VTC Spring), 26 IEEE 83rd. IEEE, 26, pp. 7. [3] N. Tran, T. Imai, and Y. Okumura, -to-indoor channel characteristics at 2 ghz, in 26 International Symposium on Antennas and Propagation (ISAP), Oct 26, pp. 62 63. [4] T. Imai, K. Kitao, N. Tran, N. Omaki, Y. Okumura, and K. Nishimori, -to-indoor path loss modeling for.8 to 37 ghz band, in 26 th European Conference on Antennas and Propagation (EuCAP), April 26, pp. 4. [5] M. Kim, T. Iwata, K. Umeki, K. Wangchuk, J. i. Takada, and S. Sasaki, Mm-wave outdoor-to-indoor channel measurement in an open square smallcell scenario, in 26 International Symposium on Antennas and Propagation (ISAP), Oct 26, pp. 64 65. [6] L. Cheng, W. Bao, N. Liu, G. Yue, X. Zou, and R. C. Qiu, Study of propagation characteristics of outdoor-to-indoor channel in the 6-ghz band, Journal of Communications and Information Networks, vol., no. 2, pp. 93, Aug 26. [Online]. Available: https://doi.org/.7/bf33956 [7] C. A. L. Diakhate, J. M. Conrat, J. C. Cousin, and A. Sibille, Millimeterwave outdoor-to-indoor channel measurements at 3,, 7 and 6 ghz, in 27 th European Conference on Antennas and Propagation (EUCAP), March 27, pp. 798 82. [8] C. U. Bas, R. Wang, D. Psychoudakis, T. Henige, R. Monroe, J. Park, J. Zhang, and A. F. Molisch, A Real-Time Millimeter-Wave Phased Array MIMO Channel Sounder, in Vehicular Technology Conference, 27. VTC 27-Fall. IEEE, September 27. [9] M. Friese, Multitone signals with low crest factor, Communications, IEEE Transactions on, vol. 45, no., pp. 338 344, Oct 997. [2] C. U. Bas and et.al., A Real-Time Millimeter-Wave Phased Array MIMO Channel Sounder for Dynamic Measurements, to be submitted. [2] C. U. Bas, R. Wang, S. Sangodoyin, S. Hur, K. Whang, J. Park, J. Zhang, and A. F. Molisch, 28 GHz Microcell Measurement Campaign for Residential Environment, in 27 IEEE Global Communications Conference (GLOBECOM), December 27. [22] F. J. Massey Jr, The kolmogorov-smirnov test for goodness of fit, Journal of the American statistical Association, vol. 46, no. 253, pp. 68 78, 95.