6G MIMO Spatio-Temporal Data Scattering for Reconfigurable Intelligent Surface (RIS) Performance

Autor: Naeem Zafar Azeemi
Přispěvatelé: Naveed Z. Azeemi
Rok vydání: 2023
Předmět:
DOI: 10.5281/zenodo.7857085
Popis: Orbital Angular Momentum (OAM), provides the new angular or mode dimension for wireless communications, offers an intriguing way for anti-jamming. The unprecedented demands for high- quality and seamless wireless services impose continuous challenges to existing cellular networks. Applications like enhanced mobile broadband (eMBB), ultra-reliable and low latency communications (URLLC), and massive machine type communications (mMTC) services are pushing the evolution of cellular systems towards the fifth-generation (5G). We propose to use the orthogonally of OAM modes for anti-jamming in wireless communications. In particular, the mode hopping (MH) scheme for anti-jamming within the narrow frequency band. We derive the closed-form expression of bit error rate (BER) for multiple user’s scenario with our developed MH scheme. Our developed MH scheme can achieve the same anti-jamming results within the narrow frequency band as compared with the conventional wideband FH scheme. We explore the challenges in the design of next generation transport layer protocols (NGTP) in 6G Terahertz communication-based networks. Furthermore, we propose mode-frequency hopping (MFH) scheme, which jointly uses our developed MH scheme and the conventional FH scheme to further decrease the BER for wireless communication. In contrast, our experiments for Reconfigurable Intelligent Surface (RIS) reveal it as economically simple and a new type of ultra-thin meta material inlaid with multiple sub-wavelength scatters. We exposed our observations for possible favorable propagation conditions by controlling the phase shifts of the reflected waves at the surface such that the received signals are directly reflected towards the receivers without any extra cost of power sources or hardware. It provides a revolutionary new approach to actively improve the link quality and coverage, which sheds light into the future 6G. Aiming high-quality channel links in cellular communications via design and optimization of RIS construction is explored in this work as novel RIS-based smart radio techniques. Unlike traditional antenna arrays, three unique characteristics of RIS are revealed in this work. First, the built-in programmable configuration of RIS enables analog beam forming inherently without extra hardware or signal processing. Second, the incident signals can be controlled to partly reflect and partly transmit through the RIS simultaneously, adding more flexibility to signal transmission. Third, RIS has no digital processing capability to actively send signals nor any radio frequency (RF) components. One of the considerations is the use of Terahertz communications that aims to provide 1 Tbps (terabits per second) and air latency less than 100μs. Further, 6G networks are expected to provide for more stringent Quality of Service (QoS) and mobility requirements. As such, it is necessary to develop novel channel estimation and communication protocols, design joint digital and RIS-based analog beam forming schemes, and perform interference control via mixed reflection and transmission. The aforementioned innovative use-cases call for the necessity of re-defining the requirements of upcoming 6G technology. 5G technology has abundant potential but it cannot satisfy the stringent rate-reliability-latency requirements of the new applications. This work also highlights the requirements and KPIs of 6G technology will be stricter and more diverse. For example, we discuss a scenario while the 5G network is already operated in the very high frequency mm-waves region, 6G could require even higher frequencies for operation. The 6G technology will focus on achieving higher peak data rate, seamless ubiquitous connectivity, non-existent latency, high reliability, and strong security and privacy for providing ultimate user experience. A Section is devoted to describe the comparative study of the KPIs of both 5G and 6G.
Specifically, we looked into the wireless requirements and transformations seen in this new breed of services that necessitate an intelligent backbone supporting their network interactively far from the conventional role of edge computing in 5G. Subsequently, we looked into the necessary changes that need to occur on the AI mechanism governing the edge, in order to successfully deliver complex 6G applications with their promised performance. Moreover, edge AI-enabled platform offers various benefits such as low-latency and reduced cost. In this regard, it has been recognized as a promising system that not only focuses on reliable and secure communications but also on related to on device resource constraints regarding memory, energy, and computing power. Also, the offered platform can effectively support the deployment of beyond 5G networks that can function as distributed processing elements with sufficient capacity for AI at the edge. Besides, edge AI-enabled platform presents collaborative computing that is within very close proximity to the distributed end-user devices. The network interconnection could be wireless and/or optical links (optical fiber and free-space optics) that can be efficiently managed over the metro and/or access network infrastructure. As aforementioned, communication systems with salient features such as low latency, high-speed, and high-reliability are crucial to effectively support the ML/AI
Databáze: OpenAIRE
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