This article studies a new non-orthogonal multiple access (NOMA) assisted decode-and-forward cooperative relay (NOMA-DFCR) system, where the downlink NOMA principle is employed to communicate between a source-destination pair through a dedicated relay. Performance of the proposed system is analyzed in terms of the outage probability (OP), system throughput (ST), and ergodic sum rate with channel estimation errors (CEEs) and imperfect successive interference cancellation (SIC). An approximate expression of the OP and the diversity order of the presented scheme are derived. To gain further insights, asymptotic analysis of the OP is carried out at high signal-to-noise ratio (SNR) regime. Further, we also investigate the impact of power allocation coefficients and CEEs on the system performance. Moreover, the OP of orthogonal multiple access (OMA) assisted cooperative relay system is evaluated and compared with the proposed scheme. To validate the correctness of the derived analytical results, Monte Carlo simulations are performed. Numerical and simulation results have shown that the proposed system outperforms its OMA counterpart and the schemes in References 14 and 15, in terms of both the ST and OP.
Wireless Mesh Networks (WMNs) have emerged as a cost effective and promising technology to provide broadband connectivity in several environments. In this work, we consider a cross layer optimal design of routing, medium access control (MAC) scheduling, and physical layer resource allocation for WMNs, where nodes are equipped with Multiple Input Multiple
Output (MIMO) antennas. MIMO antennas can greatly improves the throughput by transmitting multiple independent data streams and/or suppressing the interference from neighboring links. To address the MAC and stream control at the physical layer, we consider the notion of Transmission Configurations (TCs). By incorporating the TCs in the cross-layer design, we formulate a Joint Routing and Stream Control Scheduling (JRSCS) problem as a linear program (LP), with the objective of finding a minimum length schedule that satisfies the traffic demand of a set of end-to-end sessions. A column generationbased method is proposed to solve the JRSCS problem. The simulation results are presented to verify the performance of the scheme. We have also evaluated the impact of the physical layer capabilities such as number of antennas, single and multi-user radios on the scheduling time of the network.
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