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Reconfigurable intelligent surfaces (RISs) emerged as a pivotal technology for the
upcoming sixth generation (6G) wireless communication because of its characteristics of
controlling propagation environment, increasing signal strength and extending coverage
with sufficient energy efficiency (EE). On the other hand, to support the massive
connectivity of devices with various quality-of-service (QoS) requirements and offer
significant spectral efficiency (SE) and EE improvements, non-orthogonal multiple access
(NOMA), cognitive radio (CR), and full-duplex (FD) systems have been considered as the
potential technologies in the communication systems, such as cellular network, relaying
networks, and wireless sensor networks. This thesis focuses on the performance analysis of
RIS-assisted communications with spectrally efficient signaling techniques like NOMA,
CR, and FD by using infinite blocklength (IBL) and finite blocklength (FBL) codes.
Firstly, we design a novel paradigm of RIS-assisted NOMA system by formulating a phase
shift matrix that provides coherent phase shift across both users of a NOMA pair. The
performance of the considered system is analyzed by deriving the closed-form expression
of outage probability (OP) and system throughput.
Furthermore, ultra-reliable and low-latency communication (URLLC) is one of the
pillars for 6G networks to satisfy the rigorous conditions of internet of things (IoT)
applications (e.g., industrial automation, remote surgery, virtual/augmented reality,
tactile internet, and vehicle-to-everything communications) subjecting to extremely high
reliability (99.999%) and ultralow latency (≤ 1 ms). For such conditions, the conventional
analysis approaches based on the Shannon capacity with the assumption of IBL wireless
transmission are no longer suitable. To this end, a new transmission method, short-packet
communication (SPC) with finite FBL codes, has been used to reduce the physical-layer
transmission latency for URLLCs. Therefore, secondly, we have considered the IBL
and FBL analysis of RIS-assisted CR-NOMA system with energy harvesting mechanism
to deploy IoT devices by considering practical constraints of hardware impairments
(HIs). For the IBL regime, we derived the analytical expression of OP and system
throughput. For the FBL regime, we derived the novel analytical expression of average
block error rate (ABLER), goodput, latency and reliability. Thirdly, we have investigated
the performance of active RIS (ARIS) with two FD users communicating with each
other using FBL codes by considering HIs at the FD transceiver nodes. We derived the
analytical and asymptotic expressions of ABLER and ergodic capacity. Additionally
system throughput, goodput and latency parameters are also analyzed. Finally, the
FBL analysis of simultaneously transmitting and reflecting RIS (STAR-RIS) assisted
NOMA system by considering imperfect channel state information (CSI) is analyzed. We
derived the novel analytical expressions of ABLER, system throughput, goodput, latency
and reliability. All the analytical results presented in this thesis are validated through
extensive Monte-Carlo simulations. |
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