Cache-enabled in cooperative cognitive radio networks for transmission performance.pdf (1.26 MB)Download file
Cache-enabled in cooperative cognitive radio networks for transmission performance
journal contributionposted on 2020-11-19, 10:19 authored by Jiachen Yang, Chaofan Ma, Jiabao Man, Huifang Xu, Gan Zheng, Houbing Song
The proliferation of mobile devices that support the acceleration of data services (especially smartphones) has resulted in a dramatic increase in mobile traffic. Mobile data also increased exponentially, already exceeding the throughput of the backhaul. To improve spectrum utilization and increase mobile network traffic, in combination with content caching, we study the cooperation between primary and secondary networks via content caching. We consider that the secondary base station assists the primary user by pre-caching some popular primary contents. Thus, the secondary base station can obtain more licensed bandwidth to serve its own user. We mainly focus on the time delay from the backhaul link to the secondary base station. First, in terms of the content caching and the transmission strategies, we provide a cooperation scheme to maximize the secondary user's effective data transmission rates under the constraint of the primary users target rate. Then, we investigate the impact of the caching allocation and prove that the formulated problem is a concave problem with regard to the caching capacity allocation for any given power allocation. Furthermore, we obtain the joint caching and power allocation by an effective bisection search algorithm. Finally, our results show that the content caching cooperation scheme can achieve significant performance gain for the primary and secondary systems over the traditional two-hop relay cooperation without caching.
National Natural Science Foundation of China (No. 61871283)
Foundation of Pre-Research on Equipment of China (No. 61403120103)
Joint Foundation of Pre-Research on Equipment from Education Department of China (No. 6141A02022336)
- Mechanical, Electrical and Manufacturing Engineering