Cross-layer channel selection and reward-based power allocation for maximizing system capacity and reward in 4G MIMO wireless communications

Abstract

For increasing network bandwidth and guaranteeing quality of service, the 4G networks proposes the techniques of MIMO and OFDMA. However, the performance of the 4G specifications is significantly degraded in the high-mobility environment and high communication interference. As a result, a sender easily uses inaccurate modulation and coding scheme (MCS) and improper power allocation for different-priority users having different SNRs. The system capacity is thus affected significantly. Additionally, the multiuser MIMO systems seldom consider that different-priority users and different-class traffic bring different rewards to the system. This paper thus proposes a cross layer reward-based approach (namely CLR) that consists of three schemes to achieve accurate CSI determination, optimal channel selection, and adaptive reward power allocation. Numerical results demonstrate that the proposed approach significantly outperforms the other approaches in system reward, system capacity, and the accuracy of the MCS determination.