With the first successful establishment of 3GPP R18, the 5G Advanced has enforced the speed of 5G network construction, and the 6G technology enabling 5G evolution has gradually become the major research focus area. Reconfigurable Intelligent Surface (RIS), as an important technology that can improve network coverage and reconstruct imperfect signal propagation environment, which considered as one of the key technologies for 5G Advanced and 6G networks construction. This paper introduces the research progress of reconfigurable intelligent surface technology, analyzes the potential application scenarios and challenges, and proposes a possible landing plan for the 5G application of reconfigurable intelligent surface technology.
Characterized as large bandwidth, low latency and high data rate, millimeter-wave apply to mobile communications is widely applied and studied. Meanwhile, the new challenge for telecommunications operators is required for millimeter-wave planning because of high propagation loss. On the basis of introducing the characteristics of millimeter wave frequency band, this paper briefly describes and analyzes two kinds of millimeter wave coverage enhancement technologies, namely reconfigurable intelligent surface and relay communication, which are research hotspots at present, in view of the limited disadvantages of high propagation loss and coverage restriction faced by high-frequency network planning. Further, this article combines the application prospect of enhancement technology and potential deployment environment information, The feasibility reference suggestions are put forward for operators to plan millimeter wave scenarios in the future.
KEYWORDS: Detection and tracking algorithms, Signal detection, Antennas, Signal to noise ratio, Interference (communication), Systems modeling, Computer simulations, Chemical elements, Telecommunications, Energy efficiency
The massive multiple-input multiple-output (MIMO) system is one of the most important key technologies in 5G era and will play an important role in the future telecommunication development. In massive MIMO signal detection, a huge number of matrix calculations need to be completed, especially matrix inversion. This makes the massive MIMO detection algorithm computationally complex and consumes lots of resources. Firstly, this paper briefly introduces and analyzes a variety of traditional iterative algorithms. Based on simplifying the inversion of MMSE matrix by solving linear equations, an improved algorithm is proposed to reduce the number of iterations by optimizing the initial solution to achieve the same detection performance as the traditional algorithms. The computational complexity of the proposed algorithm keep consistently at đť‘‚(K2), which is one order of magnitude lower than the traditional ones.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.