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One of the rapidly emerging services for fifth-generation (5G)-Advanced is eXtended Reality (XR), which combines several immersive experiences and cloud gaming services. Those services are demanding as they call for relatively high data rates under tight latency constraints, sometimes also referred to as dependable real-time applications. Supporting many XR users per cell requires highly efficient radio solutions. We utilize code block group (CBG)-based transmissions to enhance the XR performance, via smarter link adaptation and to reduce the retransmission overhead. We propose an enhanced channel quality indicator (CQI) that allows controlling the number of failed CBGs per transport block (TB) to its near-optimal value, as compared to using legacy CQI schemes that correspond to 10% TB error rates. We present both an analytical analysis of the related problems and solutions, as well as an extensive dynamic system-level performance assessment, to document the performance benefits of our proposals. Our results show an increased XR system capacity of 17% to 33% as compared to what can be supported by current 5G systems with baseline CQI schemes. We also present enhanced CQI complexity-reducing techniques based on derived closed-form expressions that are attractive to the user equipment implementation.

This paper addresses the determination of high-order Volterra transfer functions of non-linear multiport networks containing multidimensional non-linear elements. A new method is developed for utilizing parallel computing which is very efficient for approximately 10–20 processors. The utilization of each processor may be as high as 80%–95%. The developed program is very flexible as it is ANSI C++ compatible and may run on both single- and multiprocessor computers. Using about eight processors it is possible to analyse rather complicated non-linear circuits up to ninth order in a few hours. © 1997 by John Wiley & Sons, Ltd.