An Efficient Resource Allocation Scheme for Non Orthogonal Multiple Access in a Millimeter Wave Channel for 5G

Z. Z. Muhammad, A. Y. Kassim, S. A. Mikail, A. M. Abba

Abstract


Due to the ever-increasing demand for telecommunications services, the network suffers low speed and high latency. This seriously affects the performance of the networks due to the high burden placed on the existing wireless technologies to deliver high speed data rates with low latency. The exponential increase in demand for high speed and low latency data communications by mobile users define features of future networks. To ease the burden on the existing multiple access techniques, by offering high data rates, Non-Orthogonal Multiple Access (NOMA) and millimeter wave (mmwave) were proposed in 5G systems and beyond. NOMA as a multiple access scheme allows the multiplexing of several users over the same channel at same frequency and time resources. While mmwave allows the use of higher frequencies (that is 30-300GHz) for mobile communication purposes.  However, the high-speed user and system sum capacity of data in this kind of multiple access system is another problem because it depends on efficient resource allocation techniques used to avoid high rate of interference and decoding errors. These important conditions are difficult to meet because techniques are not perfect. The techniques used by previous researchers to resolve low speed and high latency introduced some problems such as high interference and decoding errors, hence the need to improve these techniques. In this research work therefore, a resource allocation scheme that puts these problems in to cognizance and efficient energy utilization was developed. A single cell, multi user downlink mmwave NOMA system with N sub-channels and 110 users that are evenly spread in a cell of 150 meters diameter was considered. The performance of the developed scheme was compared with the existing works for validation.


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References


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https://5g-ppp.eu/wp-content/uploads/2018/10/5G-PPP-Progress-Monitoring-Report-2017.pdf


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