Performance Analysis of Dynamic Resource Assignment Technique for 6G Wireless Networks

Abstract

The sixth generation (6G) wireless networks will implement dynamic spectrum access methods to ensure efficient spectrum sensing, which will in turn reduce the probability of false alarms and maximize the detection probability. Hence, time for sensing (TfS) will be a key parameter as it controls both probabilities. However, there exists a trade-off in setting the TfS value, which has an effect on network performance. Also, the implementation of an efficient spectrum sensing technique will mandate the use of efficient resource assignment (RA) to achieve high throughput. Therefore, there exists motivation to formulate an efficient spectrum sensing technique that jointly optimizes TfS and RA. In the current article, a dynamic RA (DRA) technique is proposed for assigning key resources, that is, sub-carriers, power, remote radio heads, and baseband units, dynamically within the network. The DRA technique implements an opportunistic spectrum sharing (SS) method which uses cooperative SS to enable secondary users (SUs) to detect any vacant spectrum slots not being currently utilized by primary users (PUs). The aim of the DRA technique is to maximize overall throughput of the SUs while simultaneously ensuring the desired quality of service for the PUs. To achieve this aim, DRA adjusts the time for spectrum sensing in accordance with the detection probabilities of targets and the false alarms. To find solutions to the formulated problem in reasonable times, an iterative heuristic method is proposed. The results reveal that (i) the DRA technique is effective in obtaining the solutions, and (ii) it is mandatory to adjust the time for sensing.