Low-Complexity Detection for Index Modulation Multiple Access

Abstract

Index modulation multiple access (IM-MA) is recently proposed to exploit the IM concept to the uplink multiple access system, where multiple users transmit their own signals via the selected time slots. However, the computational complexity of the optimal maximum-likelihood (ML) detection in IM-MA is tremendously high when the number of users or time slots is large. In this letter, we propose a low-complexity detection method for IM-MA, which is inspired by the log likelihood ratio (LLR) algorithm. In addition, because of the heavy search burden for all LLR values, we further propose a suboptimal method to determine the permutation set, which records the number of users allocated to each time slot. Simulation results and the complexity analysis verify that the proposed detection performs closely to the optimal ML detection with reduced computational complexity.

Multiple‐input multiple‐output system design of multidimensional orthogonal frequency division multiplexing system with coded direct index modulation

“…In order to implement an actual system, it is recommended to use a MIMO decoding algorithm with less complexity while having performance similar to that of ML. 22,23 That is, a study on high-performance, low-complexity MIMO decoding is required. These issues also apply to the MIMO system proposed in this paper.…”

Generalized Quadrature Spatial Modulation and its Application to Vehicular Networks With NOMA

“…It should be noted that although the SE improves, the computational complexity for signal detection is greatly increased, especially when the number of subcarriers is large. Therefore, to combat this effect, the low-complexity detection methods for OFDM-IM and related schemes were investigated in [22]- [25].…”

Performance analysis of an efficient linear constellation precoded generalized frequency division multiplexing with index modulation in 5G heterogeneous wireless network

“…But, the optimal ML detection approach increased the computational complexity of index modulation multiple access (IM‐MA) schemes while increasing the users and time slots. To tackle this issue, a low‐complexity near‐ML detector has been developed by Li et al 29 This detection approach functioned on the basis of the LLR algorithm. Also, a sequential Monte Carlo (SMC) theory‐based detector has been proposed in Zheng et al 20 for MIMO‐OFDM‐IM.…”