Heterogeneous QoS-Driven Resource Adaptation over Full-Duplex Relay Networks

To support the emerging next era of mobile wireless networks, researchers have made a great deal of efforts in investigating promising techniques in multimedia services - the statistical quality-of-service (QoS) technique, which has been proved to be effective in statistically guaranteeing delay-bounded video transmissions over the time-varying wireless channels. On the other hand, as the 5G- promising techniques, the full-duplex (FD) technique can also significantly enhance the performance of statistical QoS for real-time traffic over 5G mobile wireless networks. However, due to the heterogeneity caused by different types of simultaneous traffics over the wireless FD relay links, supporting diverse delay-bounded QoS guarantees for wireless FD relay networks imposes many new challenges not encountered before. To effectively overcome the aforementioned problems, in this paper we propose the heterogeneous QoS-driven resource adaptation scheme by applying the full-duplex relaying scheme. In particular, under the Nakagami-m fading model, we establish the system model for the decode and forward (DF) protocol based FD relay system. Then, we propose the FD based relay selection model. Given the heterogeneous statistical QoS constraints, we derive and analyze the effective capacity under our developed optimal power-adaptation policies for the FD relays over 5G mobile wireless networks. Also conducted is a set of simulations which show that our proposed scheme outperforms the other existing schemes in terms of self- interference cancellation to efficiently implement the heterogeneous statistical QoS over FD relay networks.