Abstract
In this paper, sum capacity maximization of the non-orthogonal multiple access (NOMA)-based wireless network is studied in the presence of ambient backscattering (ABS). Assuming that ABS is located next to far nodes, it improves the signal strength of far node cluster. By applying suitable successive interference cancellation (SIC) operation, far node cluster act as an internet of things (IoT) reader. Moreover, to improve the uplink performance of the nodes, a physical layer network coding (PLNC) scheme is applied in the proposed network. Power optimization is employed at the access point (AP) to enhance the downlink performance with total transmit power constraint and minimum data rate requirement per user constraint using Lagrangian’s function. In addition, end-to-end outage performance of the proposed wireless network is analyzed to enhance each wireless link capacity. Numerical results evident that the outage performance of the proposed network is significantly improved while using the ABS. Furthermore, the average bit error rate (BER) performance of the proposed wireless network is studied to improve the reliability. Simulation results are presented to validate the analytical expressions.
Highlights
In recent years, the usage of smartphones with internet supports increased rapidly due to its variety of real-time applications such as online education, e-healthcare and e-business etc. which causes an exponential growth on mobile data traffic in the wireless environment [1]
To enhance the throughput and reliability of each wireless link, outage and bit error rate (BER) performance of the proposed wireless network is analyzed in uplink, downlink and end-to-end level
Sum capacity maximization of the proposed wireless network is analyzed in the presence of ambient backscattering
Summary
The usage of smartphones with internet supports increased rapidly due to its variety of real-time applications such as online education, e-healthcare and e-business etc. which causes an exponential growth on mobile data traffic in the wireless environment [1]. The proper power allocation among the mobile users is another major problem in NOMA-based wireless network. Since the NOMA users are sharing the common channel, the user with poor channel condition may not decode its data properly To address this issue, many research works has been proposed through allocating power depend on the channel conditions. Optimal resource allocation in the downlink multi-user NOMA system is analyzed in [7] to maximize the sum-rate. Cellular-based vehicular networks is proposed using CR and NOMA scheme to support the massive connections, high reliability and spectral efficiency in [11]. A new low power wireless network model is proposed by combining PLNC and NOMA schemes.
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