Journal of South China University of Technology(Natural Science) >
Research on Transmission Scheme Based on Reconfigurable Intelligent Surface in Dense Urban Agglomeration
Received date: 2023-01-13
Online published: 2023-04-20
Supported by
the Science and Technology Research Program of Chongqing Municipal Education Commission(KJQN202200617)
Due to the shortage of low-frequency resources, the future mobile communication network will gradually shift to higher frequency bands. The free space propagation loss, diffraction loss and penetration loss of electromagnetic waves are large, so it is easy to produce coverage blind spots and weak coverage areas. Reconfigurable Intelligent Surface (RIS) has become a new hot spot to solve the coverage problem of dense urban agglomerations by reconfiguring the propagation environment of signals to improve network performance and expand network coverage. Based on the multi-hop communication mode of the next generation mobile communication network with RIS participation in dense urban agglomerations, the multi-hop RIS transmission scheme was compared with a proposed decode-and-forward (DF) relay-assisted multi-hop RIS transmission scheme (DF-RIS). Firstly, the transmission loss, energy efficiency and system capacity of the two transmission schemes were theoretically derived and analyzed. Secondly, the simulation was carried out in the three-dimensional environment model of dense urban agglomeration. In order to improve the problem of reducing the efficiency of complex environment search and increasing the amount of calculation, an improved Lazy Theta * algorithm was proposed, and the search time and search path length of the improved algorithm and the common path search algorithm were simulated and compared. The improved algorithm was used to select the nodes required by the two transmission schemes in the same simulation environment. The different locations of the DF relay in the multi-hop DF-RIS transmission scheme were considered in the node selection. After determining the nodes, the transmission loss, energy efficiency and system capacity of the two transmission schemes were simulated and compared. The simulation results not only verify the effectiveness of the improved Lazy Theta * algorithm, but also illustrate the relationship between the number of RIS reflection elements and the performance of the two transmission schemes. It shows that the two transmission schemes have their own applicability, and the appropriate transmission scheme can be selected according to the actual requirements for performance.
ZHUANG Ling, LIU Yuhang . Research on Transmission Scheme Based on Reconfigurable Intelligent Surface in Dense Urban Agglomeration[J]. Journal of South China University of Technology(Natural Science), 2024 , 52(3) : 112 -118 . DOI: 10.12141/j.issn.1000-565X.230016
| 1 | BI Q ．The proximity radio access network for 5G and 6G［J］．IEEE Communications Magazine，2022，60（1）：67-73. |
| 2 | FAISAI K M， CHOI W ．Machine learning approaches for reconfigurable intelligent surfaces：a survey［J］．IEEE Access，2022，10：27343-27367. |
| 3 | LI Z， HU H， ZHANG J，et al ．Enhancing indoor mmwave wireless coverage：small-cell densification or reconfigurable intelligent surfaces deployment？［J］．IEEE Wireless Communications Letters，2021，10（11）：2547-2551. |
| 4 | WANG X， SHU F， SHI W，et al ．Beamforming design for IRS-aided decode-and-forward relay wireless network［J］．IEEE Transactions on Green Communications and Networking，2022，6（1）：198-207. |
| 5 | KANG Z， YOU C， ZHANG R ．IRS-aided wireless relaying：deployment strategy and capacity scaling［J］．IEEE Wireless Communications Letters，2022，11（2）：215-219. |
| 6 | ZHANG S， ZHANG R ．Capacity characterization for intelligent reflecting surface aided MIMO communication［J］．IEEE Journal on Selected Areas in Communications，2020，38（8）：1823-1838. |
| 7 | DI R M， NTONTIN K， SONG J，et al ．Reconfigurable intelligent surfaces vs．relaying：differences，similarities，and performance comparison［J］．IEEE Open Journal of the Communications Society，2020，1：798-807. |
| 8 | BJ?RNSON E， ?ZDOGAN ?， LARSSON E G ．Intelligent reflecting surface versus decode-and-forward：how large surfaces are needed to beat relaying？［J］．IEEE Wireless Communications Letters，2019，9（2）：244-248. |
| 9 | XU B， ZHOU T， XU T，et al ．Reconfigurable intelligent surface configuration and deployment in three-dimensional scenarios［C］∥Proceedings of the 2021 IEEE International Conference on Communications Workshops （ICC Workshops）．［S.l.］：IEEE，2021：1-6. |
| 10 | ABDULLAH Z， CHEN G， LAMBOTHARAN S，et al ．A hybrid relay and intelligent reflecting surface network and its ergodic performance analysis［J］．IEEE Wireless Communications Letters，2020，9（10）：1653-1657. |
| 11 | YILDIRIM I， KILINC F， BASAR E，et al ．Hybrid RIS-empowered reflection and decode-and-forward relaying for coverage extension［J］．IEEE Communications Letters，2021，25（5）：1692-1696. |
| 12 | YING X， DEMIRHAN U， ALKHATEEB A ．Relay aided intelligent reconfigurable surfaces：achieving the potential without so many antennas［J］．arxiv preprint/arXiv.2006.06644，2020. |
| 13 | HUANG C， YANG Z， ALEXANDROPOULOS G C，et al ．Multi-hop RIS-empowered terahertz communications：a DRL-based hybrid beamforming design［J］．IEEE Journal on Selected Areas in Communications，2021，39（6）：1663-1677. |
| 14 | LIANG R， FAN J， LUO J，et al ．A cascaded multi-routes irss beamforming scheme in mmwave communication systems［J］．IEEE Access，2021，9：99193-99200. |
| 15 | ZENG W， CHURCH R L ．Finding shortest paths on real road networks：the case for A［J］．International Journal of Geographical Information Science，2009，23（4）：531-543. |
| 16 | DANIEL K， NASH A， KOENIG S，et al ．Theta*：any-angle path planning on grids［J］．Journal of Artificial Intelligence Research，2010，39：533-579. |
| 17 | NASH A， KOENIG S， TOVEY C ．Lazy Theta*：any-angle path planning and path length analysis in 3D［C］∥Proceedings of the AAAI Conference on Artificial Intelligence．Atlanta：AAAI Press，2010，24（1）：147-154. |
| 18 | 3GPP，3GPP TR 38.901 V17.0.0 Study on channel model for frequencies from 0.5 |
| to 100 GHz［EB/OL］．（2022-03-31）［2023-04-05］．. |
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