skip to main content

Evaluation of High Performance Interference Canceller to Boost the Error Performance of The Wi-Fi 5 IEEE 802.11ac

Evaluation of High-Performance Interference Canceller to Boost the Error Performance of The Wi-Fi 5 IEEE 802.11ac

*Wahyul Amien Syafei scopus  -  Department of Electrical Engineering, Diponegoro University, Indonesia
Achmad Hidayatno  -  Department of Electrical Engineering, Diponegoro University, Indonesia
Oky Dwi Nurhayati  -  Post Graduate School UNDIP, Indonesia
Dinar Nugraheni  -  Post Graduate School UNDIP, Indonesia
Open Access Copyright (c) 2024 TEKNIK

Citation Format:
Abstract
The Wi-fi 5 IEEE 802.11ac can achieve throughput up to 6,933 Mbps by occupying 160MHz of bandwidth in each eight spatial streams with 256-QAM. It provides not only very high throughput but also high performance of wireless communications. However, due to the use of multiple antennas at both transmitter and receiver side which operate in the same frequency band; it experiences many interference signals. Therefore, a high-performance interference canceller is highly required to cancel these interferences and get the desired information back. The conventional interference cancellers are based on linear method, i.e. zero forcing and minimum mean square error. Both are simple but low in performance. This paper presents evaluation of a high-performance interference canceller based on maximum likelihood detection to boost the error performance of the wi-fi 5. Run test under in-door channel model demonstrates the superiority of this interference canceller. For target bit error rate of 10-4, it dramatically boosts the error performance by 16 dB and 17,5 dB compared to linear methods by the cost of very high complexity.
Fulltext View|Download
Keywords: Wi-fi 5; IEEE802.11ac; interference canceller; MIMO; OFDM; ZF; MMSE; MLD

Article Metrics:

  1. Amewuda, A.B., Katsriku, F.A., Abdulai, J.-D., 2018. Implementation and Evaluation of WLAN 802.11 ac for Residential Networks in NS-3. J. Comput. Netw. Commun. 2018, 1–10. https://doi.org/10.1155/2018/3518352
  2. Bhartia, A., Chen, B., Wang, F., Pallas, D., Musaloiu-E, R., Lai, T.T.-T., Ma, H., 2017. Measurement-based, practical techniques to improve 802.11ac performance, in: Proceedings of the 2017 Internet Measurement Conference. Presented at the IMC ’17: Internet Measurement Conference, ACM, London United Kingdom, pp. 205–219. https://doi.org/10.1145/3131365.3131398
  3. Dabah, A., Ltaief, H., Rezki, Z., Arfaoui, M.-A., Alouini, M.-S., Keyes, D., 2020. Performance / Complexity Trade-offs of the Sphere Decoder Algorithm for Massive MIMO Systems
  4. IEEE Standards Association. IEEE Standard for Information Technology - Telecommunications and Information Exchange between Systems Local and Metropolitan Area Networks - Specific Requirements, IEEE Std 802.11ac TM - 2013
  5. Ivanov, A., Osinsky, A., Lakontsev, D., Yarotsky, D., 2020. High performance interference suppression in multi-user massive MIMO detector, in: 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring). IEEE, pp. 1–5
  6. Jeon, Y.-S., Lee, N., Hong, S.-N., Heath, R.W., 2018. One-bit sphere decoding for uplink massive MIMO systems with one-bit ADCs. IEEE Trans. Wirel. Commun. 17, 4509–4521. https://doi.org/10.1109/TWC.2018.2827028
  7. Jin, X., Kim, H.-N., 2019. Deep learning detection in MIMO decode-forward relay channels. IEEE Access 7, 99481–99495
  8. Nguyen, N.T., Lee, K., DaiIEEE, H., 2021. Application of deep learning to sphere decoding for large MIMO systems. IEEE Trans. Wirel. Commun. 20, 6787–6803
  9. Nikitopoulos, K., Georgis, G., Jayawardena, C., Chatzipanagiotis, D., Tafazolli, R., 2018. Massively parallel tree search for high-dimensional sphere decoders. IEEE Trans. Parallel Distrib. Syst. 30, 2309–2325. https://doi.org/10.1109/TPDS.2018.2874002
  10. Syafei, W.A., Isralestina, F., Widodo, C.E., 2019. Performance Comparison of Linear and Non Linear Interference Cancellation Techniques for 3.466 Gbps WLAN. Presented at the 2019 International Biomedical Instrumentation and Technology Conference, IBITeC 2019, pp. 26–30. https://doi.org/10.1109/IBITeC46597.2019.9091712
  11. Vordonis, D., Paliouras, V., 2019. Sphere decoder for massive MIMO systems, in: 2019 IEEE Nordic Circuits and Systems Conference (NORCAS): NORCHIP and International Symposium of System-on-Chip (SoC). IEEE, pp. 1–6. https://doi.org/10.1109/NORCHIP.2019.8906929
  12. Wu, Y., McAllister, J., 2021. Configurable quasi-optimal sphere decoding for scalable MIMO communications. IEEE Trans. Circuits Syst. Regul. Pap. 68, 2675–2687
  13. Yonis, A.Z., 2019. Performance analysis of IEEE 802.11 ac based WLAN in wireless communication systems. Int. J. Electr. Comput. Eng. 9, 1131. https://doi.org/10.11591/ijece.v9i2.pp1131-1136
  14. Zhang, Y., Ge, J., 2017. Joint antenna-and-relay selection in MIMO decode-and-forward relaying networks over Nakagami-m fading channels. IEEE Signal Process. Lett. 24, 456–460. https://doi.org/10.1109/LSP.2017.2671401

Last update:

No citation recorded.

Last update: 2024-06-27 20:46:56

No citation recorded.