Study of indoor radio coverage performance of dual technology co-existing MIMO antenna platform for low power wireless base station

Saroj K. Patro; Rabindra Kishore Mishra; Ajit Kumar Panda

doi:10.3103/S0735272720020028

Authors

Saroj K. Patro National Institute of Science and Technology, Berhampur, India
Rabindra Kishore Mishra Berhampur University, India
Ajit Kumar Panda National Institute of Science and Technology, Berhampur, India

DOI:

https://doi.org/10.3103/S0735272720020028

Keywords:

LTE, MIMO, OTA, RSSI, Wi-Fi, antenna, co-existence, coverage, propagation

Abstract

In this paper, we present the radiated mode indoor radio coverage performance study of a co-existing dual technology, dual 4×4 Multiple Input Multiple Output (MIMO) antenna platform. The antenna platform is targeted to be used for low power wireless radio Base Station (BS) applications. One of the 4×4 MIMO antenna pairs operates in the 2.5–2.7 GHz licensed Long Term Evolution (LTE) band while the other MIMO antenna pair operates in the 2.4 GHz unlicensed Wireless Fidelity (Wi-Fi) Industrial Scientific Medical (ISM) band. This radio performance study is carried out to analyze, predict and verify the impact of multi-radio co-existence on the radiated mode indoor coverage performance in an Over-The-Air (OTA) scenario. The study involves OTA radio propagation modeling, prediction and verification both for a near field and far field scenario. While the near field coverage is studied in a small form factor controlled shield box environment, the far field coverage study is undertaken over a 780 ft² indoor enterprise coverage area. The test result shows the worst case LTE signal level is –77.7, –75, and –76.03 dBm, respectively, over a 3.6 m obstructed radial Line Of Sight (LOS) distance.

References

Y. Cao, E. J. Sunde, and K. Chen, “Multiplying channel capacity: Aggregation of fragmented spectral resources,” IEEE Microw. Mag., vol. 20, no. 1, pp. 70–77, Jan. 2019, doi: https://doi.org/10.1109/MMM.2018.2875631.

Y. Ye, D. Wu, Z. Shu, and Y. Qian, “Overview of LTE Spectrum Sharing Technologies,” IEEE Access, vol. 4, pp. 8105–8115, 2016, doi: https://doi.org/10.1109/ACCESS.2016.2626719.

Digital cellular telecommunications system (Phase 2+); Universal Mobile Telecommunications System (UMTS); LTE; E-UTRA, UTRA and GSM/EDGE; Multi-Standard Radio (MSR) Base Station (BS) conformance testing (3GPP TS 37.141 version 11.2.1 Release 11), ETSI, 2012-10.

LTE; Evolved Universal Terrestrial Radio Access (E-UTRA); Base Station (BS) conformance testing (3GPP TS 36.141 version 9.11.0 Release 9, ETSI TS 136 141 V9.11.0, 2012-10.

LTE; Evolved Universal Terrestrial Radio Access (E-UTRA); Base Station (BS) conformance testing (3GPP TS 36.141 version 10.1.0 Release 10), ETSI TS 136 141 V10.1.0, 2011-01.

802.11n-2009 - IEEE Standard for Information technology—Local and metropolitan area networks— Specific requirements— Part 11: Wireless LAN Medium Access Control (MAC)and Physical Layer (PHY) Specifications Amendment 5: Enhancements for Higher Throughput, C/LM - LAN/MAN Standards Committee (2009). DOI: 10.1109/ieeestd.2009.5307322.

M. H. Ng, S. De Lin, J. Li, and S. Tatesh, “Coexistence studies for 3GPP LTE with other mobile systems,” IEEE Commun. Mag., vol. 47, no. 4, pp. 60–65, 2009, doi: https://doi.org/10.1109/MCOM.2009.4907408.

E. Kotobelli and R. Kushe, “Wi-Fi behavior in presence of UMTS for indoor environment,” in Proceedings - 2011 International Conference on Network-Based Information Systems, NBiS 2011, 2011, pp. 502–506, doi: https://doi.org/10.1109/NBiS.2011.82.

A. Farshad, M. K. Marina, and F. Garcia, “Experimental investigation of coexistence interference on multi-radio 802.11 platforms,” in 2012 10th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt), 2012, Accessed: 25-Mar-2020. [Online]. Available: https://ieeexplore.ieee.org/document/6260470.

Z. Hu, R. Susitaival, Z. Chen, I. K. Fu, P. Dayal, and S. Baghel, “Interference avoidance for in-device coexistence in 3GPP LTE-advanced: Challenges and solutions,” IEEE Commun. Mag., vol. 50, no. 11, pp. 60–67, 2012, doi: https://doi.org/10.1109/MCOM.2012.6353683.

Z. Zheng, J. Wang, X. Peng, and C. Zhao, “Coexistence analysis between WCDMA and TD-LTE systems in multimode terminals,” in Proceedings - 2014 6th International Conference on Computational Intelligence and Communication Networks, CICN 2014, 2014, pp. 295–299, doi: https://doi.org/10.1109/CICN.2014.73.

S. V. Zaitsev and V. V. Kazymyr, “Method for adaptive decoding in case of information transmission in condition of influence of deliberate noise,” Radioelectron. Commun. Syst., vol. 58, no. 5, pp. 212–219, May 2015, doi: https://doi.org/10.3103/S0735272715050039.

S. Sagari, I. Seskar, and D. Raychaudhuri, “Modeling the coexistence of LTE and WiFi heterogeneous networks in dense deployment scenarios,” in 2015 IEEE International Conference on Communication Workshop, ICCW 2015, 2015, pp. 2301–2306, doi: https://doi.org/10.1109/ICCW.2015.7247524.

Enterprise multi-Femtocell Deployment Guidelines (Qualcomm Inc., 2011).

D. Micheli, M. Barazzetta, C. Carlini, R. Diamanti, V. M. Primiani, and F. Moglie, “Testing of the Carrier Aggregation Mode for a Live LTE Base Station in Reverberation Chamber,” IEEE Trans. Veh. Technol., vol. 66, no. 4, pp. 3024–3033, Apr. 2017, doi: https://doi.org/10.1109/TVT.2016.2587662.

Z. Zhou, F. Teng, J. Liu, and W. Xiao, “Performance evaluation for coexistence of LTE and WiFi,” in 2016 International Conference on Computing, Networking and Communications, ICNC 2016, 2016, doi: https://doi.org/10.1109/ICCNC.2016.7440570.

S. R. Saunders and A. Aragón-Zavala, Antennas and Propagation for Wireless Communication Systems, 2nd ed. Wiley, 2007. URI: https://www.wiley.com/en-us/Antennas+and+Propagation+for+Wireless+Communication+Systems%2C+2nd+Edition-p-9780470848791.

T. K. Sarkar, Z. Ji, K. Kim, A. Medouri, and M. Salazar-Palma, “A Survey of Various Propagation Models for Mobile Communication,” in IEEE Antennas and Propagation Magazine, 2003, vol. 45, no. 3, pp. 51–82, doi: https://doi.org/10.1109/MAP.2003.1232163.

A. Hrovat, G. Kandus, and T. Javornik, “A Survey of radio propagation modeling for tunnels,” IEEE Commun. Surv. Tutorials, vol. 16, no. 2, pp. 658–669, 2014, doi: https://doi.org/10.1109/SURV.2013.091213.00175.

G. Castro, R. Feick, M. Rodríguez, R. Valenzuela, and D. Chizhik, “Outdoor-to-Indoor Empirical Path Loss Models: Analysis for Pico and Femto Cells in Street Canyons,” IEEE Wirel. Commun. Lett., vol. 6, no. 4, pp. 542–545, Aug. 2017, doi: https://doi.org/10.1109/LWC.2017.2715169.

V. Degli-Esposti et al., “A semi-deterministic method for predicting indoor cellular coverage in dense urban areas,” in 2016 10th European Conference on Antennas and Propagation, EuCAP 2016, 2016, doi: https://doi.org/10.1109/EuCAP.2016.7481845.

W. Fan, I. Carton, P. Kyosti, and G. F. Pedersen, “Emulating Ray-Tracing Channels in Multiprobe Anechoic Chamber Setups for Virtual Drive Testing,” IEEE Trans. Antennas Propag., vol. 64, no. 2, pp. 730–739, Feb. 2016, doi: https://doi.org/10.1109/TAP.2015.2498951.

X. Wu, Z. Liu, Z. Zhang, C. H. Liao, and Z. Quan, “MIMO OTA testing on WiFi devices and 3D channel modeling in multi-probe anechoic chamber systems,” in 2016 Progress In Electromagnetics Research Symposium, PIERS 2016 - Proceedings, 2016, pp. 4275–4281, doi: https://doi.org/10.1109/PIERS.2016.7735601.

M. B. El Mashade and B. M. El Saghir, “Performance Characterization of MIMO Channels with Hybrid Diversity,” Radioelectron. Commun. Syst., vol. 62, no. 6, pp. 286–300, Jun. 2019, doi: https://doi.org/10.3103/S0735272719060049.

iBwave, Indoor propagation modeling SW Tool, 2016.

Rec. ITU-R P.1238-1. Propagation Data and Prediction Methods for the Planning of Indoor Radio Communication Systems and Radio Local Area Networks in the Frequency Range 900MHz to 100GHz, International Telecommunication Union, 1997–1999.

Rep. ITU-R M.2134. Requirements related to technical performance for IMT-Advanced radio interface(s), International Telecommunication Union, 2008.

Rep. ITU-R M.2135. Guidelines for evaluation of radio interface technologies for IMT-Advanced, International Telecommunication Union, 2008.

V. Degli-Esposti, E. M. Vitucci, and R. Martin, “A Simple and Versatile Field Prediction Model for Indoor and Indoor-to-Outdoor Propagation,” IEEE Access, vol. 5, pp. 13270–13276, Jun. 2017, doi: https://doi.org/10.1109/ACCESS.2017.2715119.