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Abstract
Pattern division multiple access (PDMA) is a new non-orthogonal multiple access (NOMA) technology. It is proposed to meet the challenge of 5G large-scale connectivity and high-frequency spectral efficiency. Compared with traditional orthogonal multiple access (OMA), PDMA can support more users through the allocation of non-orthogonal resources. Due to perfect aperiodic correlation, complete complementary sequence (CCS) greatly improves the spectrum efficiency of the system. It has been widely used in wireless communication and radar sensing, and it still has research value in 5G. In order to apply the advantages of CCS to NOMA communication system, this paper proposes a system model of CCS spread spectrum coding based on PDMA. CCS is used as spread spectrum code to improve the performance of PDMA communication system. At the same time, on the basis of spread spectrum technology, this paper analyzes the average power allocation algorithm and water-filling power allocation algorithm, and a dynamic power allocation algorithm based on the transmission rate and practical application is proposed. The simulation results show that the system model can effectively improve the performance of the system.
Highlights
The rapid development of mobile communication and Internet of things poses challenges to the fifth generation (5G) wireless communication system [1,2,3,4]
This paper presents a system model of Complete complementary sequence (CCS) spread spectrum and dynamic power allocation based on Pattern division multiple access (PDMA)
7 Conclusions This paper mainly studies the communication system performance of CCS spread spectrum based on PDMA
Summary
The rapid development of mobile communication and Internet of things poses challenges to the fifth generation (5G) wireless communication system [1,2,3,4]. PDMA distinguishes multiple user signals at the transmitter through the use of space domain, power domain, and code domain alone or jointly, and at the same time, multiple users share the same time-frequency resources. It uses successive interference cancelation (SIC) detection algorithm or belief propagation (BP) detection algorithm to carry out multi-user detection at the receiver, so as to achieve the optimal overall performance of the communication system [9].
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