Joint Transmitter and Receiver Design for Pattern Division Multiple Access

Abstract

In this paper, a joint transmitter and receiver design for pattern division multiple access (PDMA) is proposed.At the transmitter, pattern mapping utilizes power allocation to improve the overall sum rate, and beam allocation to enhance the access connectivity. At the receiver, hybrid detection utilizes a spatial filter to suppress the interbeam interference caused by beam domain multiplexing, and successive interference cancellation to remove the intra-beam interference caused by power domain multiplexing. Furthermore, we propose a PDMA joint design approach to optimize pattern mapping based on both the power domain and beam domain. The optimization of power allocation is achieved by maximizing the overall sum rate, and the corresponding optimization problem is shown to be convex theoretically. The optimization of beam allocation is achieved by minimizing the maximum of the inner product of any two beam allocation vectors, and an effective dimension reduction method is proposed through the analysis of pattern structure and proper mathematical manipulations. Simulation results show that the proposed PDMA approach outperforms the orthogonal multiple access and power-domain non-orthogonal multiple access approaches even without any optimization of pattern mapping, and that the optimization of beam allocation yields a significant performance improvement than the optimization of power allocation. Index TermsPattern division multiple access, pattern mapping, power allocation, beam allocation. I. INTRODUCTIONWith the new challenges of explosive mobile data growth, tremendous increase in the number of connected devices, and continuous emergence of new service requirements, future communication systems with high spectral efficiency are needed. In order to efficiently support unprecedented requirements for system sum rate and access connectivity, researchers from both industry and academia are focusing on the design of next-generation multiple access techniques, particularly non-orthogonal multiple access (NOMA)[1], [2].In mobile communications systems, the design of multiple access schemes is of great importance to increase the sum rate in a cost-effective manner. In general, multiple access schemes can be classified into orthogonal and non-orthogonal ones based on the way wireless resources are allocated to the users.Orthogonal multiple access (OMA) schemes, such as orthogonal frequency division multiple access (OFDMA) in downlink and single-carrier frequency division multiple access (SC-FDMA) in uplink, are adopted in the 4G mobile communication systems such as Long-Term Evolution (LTE) and LTE-Advanced (LTE-A) [3]. In order to attain further enhancements in sum rate and access connectivity, more advanced multiple access schemes need to be developed. Actually, NOMA schemes are optimal in the sense of achieving the capacity region of the broadcast channel [4]. In NOMA schemes, multi-user signals are superposed in the same time and frequency resources via code domain and/or power domain multiplexing at the transmitter, a...

Energy efficient transmission in dynamic PDMA‐based systems with RF energy harvesting

“…In References and , the authors calculate the sum rate for the fixed selected pattern. In Reference and , resource allocation with the goal of maximizing the throughput is performed. In Reference , the resources are power and subcarrier, and in Reference , they are beam and subcarrier.…”

“…In Reference and , resource allocation with the goal of maximizing the throughput is performed. In Reference , the resources are power and subcarrier, and in Reference , they are beam and subcarrier. Some advantages of this paper comparing the above‐mentioned previous works are summarized as follows:…”

“…To provide more accurate and reliable results, we determine the pattern matrix for each time slot dynamically. In References , SIC detector is considered, and in Reference , MMSE‐SIC is considered, but for more reliable data receiving and for maximizing signal to interference and noise ratio (SINR), we consider maximal ratio combining (MRC) followed by the SIC detector (MRC‐SIC). In References , and , the obtained results of PDMA are compared with those of orthogonal multiple access; however, to perform a more accurate comparison, we compare the obtained PDMA results with PD‐NOMA.…”

Performance analysis of cooperative PDMA with AF relaying over Rayleigh fading channels

“…As a multi‐carrier NOMA scheme, PDMA scheme has attracted significant attention in academia and industry [6–14]. More specifically, Chen et al [6] presented the basic conception, framework, key technologies and performance evaluation for PDMA.…”

“…Zeng et al [12] used joint pattern assignment and power allocation (PA) to optimise the total throughput of all users in a PDMA system and proposed the enhanced technology of the interleaver‐based PDMA to distinguish different users in [13]. Jiang et al [14] presented a joint transmitter and receiver design for PDMA in which PA and beam allocation are considered in the transmitter and spatial filter detection and successive interference cancellation (SIC) detection are carried out in the receiver.…”