Space-frequency index modulation for combating ICI in intelligent mobility communications

Advanced wireless communications to support high vehicular speeds in the scenario of intelligent mobility have attracted considerable research attentions in both academia and industry. Multi-dimensional index modulation, which exploits transmission media resources for combining the concept of index modulation to achieve higher throughput with lower energy consumption, is regarded as a potential candidate for addressing the challenges in intelligent mobility communications. However, for the multi-dimensional index modulation system used in the mobile environment, the inter-carrier-interference (ICI) imposes a significant adverse impact on the system, especially in the context of multicarrier transmission. Therefore, by focusing on the two-dimensional index modulation system, the ICI impact on space-frequency index modulation is studied in this paper. Thanks to the grouping strategies and the Gaussian approximation to model the ICI, the approximate theoretical bounds for the error performance of the two dimensional systems are derived. Moreover, a novel robust space-frequency index modulation scheme is also developed. Finally, simulation results are presented to validate the system performances and the theoretical derivations

Intelligent reflecting surfaces based offset index modulation for MIMO systems

In this paper, we introduce the concept of offset to the field of intelligent reflecting surfaces-based index modulation (IRS-IM) and propose an IRS-based offset IM (IRSOIM) scheme. The IRS-OIM scheme not only divides the IRS elements into several blocks but also introduces an offset at the transmitter while reducing the number of IRS controller operations. Furthermore, we develop three offset IRS block selection (OIBS) approaches to adapt to different numbers of activated IRS blocks for IRS-OIM. Compared with IRS-IM, the IRS-OIM increases the reliability of information transmission and ensures a high effective gain for the IRS while increasing the data transmission rate. In addition, the mathematical expression for the average bit error probability (ABEP) of the IRS-OIM scheme is deduced. Comparison between IRS-OIM and their counterparts in terms of complexity is also provided. Monte Carlo simulation results demonstrate the superiority of the proposed IRS-OIM scheme, and show that IRS-OIM achieves more balanced trade-off among complexity and performance than their counterparts

A generalized space-frequency index modulation scheme for downlink MIMO transmissions with improved diversity

Multidimensional Index Modulations (IM) are a novel alternative to conventional modulations which can bring considerable benefits for future wireless networks. Within this scope, in this paper we present a new scheme, named as Precoding-aided Transmitter side Generalized Space-Frequency Index Modulation (PT-GSFIM), where part of the information bits select the active antennas and subcarriers which then carry amplitude and phase modulated symbols. The proposed scheme is designed for multiuser multiple-input multiple-output (MU-MIMO) scenarios and incorporates a precoder which removes multiuser interference (MUI) at the receivers. Furthermore, the proposed PT-GSFIM also integrates signal space diversity (SSD) techniques for tackling the typical poor performance of uncoded orthogonal frequency division multiplexing (OFDM) based schemes. By combining complex rotation matrices (CRM) and subcarrier-level interleaving, PT-GSFIM can exploit the inherent diversity in frequency selective channels and improve the performance without additional power or bandwidth. To support reliable detection of the multidimensional PT-GSFIM we also propose three different detection algorithms which can provide different tradeoffs between performance and complexity. Simulation results shows that proposed PT-GSFIM scheme, can provide significant gains over conventional MU-MIMO and GSM schemes.info:eu-repo/semantics/publishedVersio

Spread OFDM-IM with precoding matrix and low-complexity detection designs

We propose a new spread orthogonal frequency division multiplexing with index modulation (S-OFDM-IM), which employs precoding matrices such as Walsh-Hadamard (WH) and Zadoff-Chu (ZC) to spread both non-zero data symbols of active sub-carriers and their indices, and then compress them into all available sub-carriers. This aims to increase the transmit diversity, exploiting both multipath and index diversities. As for the performance analysis, we derive the bit error probability (BEP) to provide an insight into the diversity and coding gains, and especially impacts of selecting various spreading matrices on these gains. This interestingly reveals an opportunity of using rotated versions of original WH and ZC matrices to further improve the BEP performance. More specifically, rotated matrices can enable S-OFDM-IM to harvest the maximum diversity gain, which is the number of sub-carriers, while benchmark schemes have diversity gains limited by two. Moreover, we propose three low-complexity detectors, namely minimum mean square error log-likelihood ratio, index pattern MMSE (IP-MMSE), and enhanced IP-MMSE, which achieve different levels of complexity and reliability. Simulation results are presented to prove the superiority of S-OFDM-IM over the benchmarks

System-level assessment of a C-RAN based on generalized space–frequency index modulation for 5G new radio and beyond

Index modulation (IM) has been attracting considerable research efforts in recent years as it is considered a promising technology that can enhance spectral and energy efficiency and help cope with the rising demand of mobile traffic in future wireless networks. In this paper, we propose a cloud radio access network (C-RAN) suitable for fifth-generation (5G) and beyond systems, where the base stations (BSs) and access points (APs) transmit multidimensional IM symbols, which we refer to as precoding-aided transmitter-side generalized space–frequency IM (PT-GSFIM). The adopted PT-GSFIM approach is an alternative multiuser multiple-input multiple-output (MU-MIMO) scheme that avoids multiuser interference (MUI) while exploiting the inherent diversity in frequency-selective channels. To validate the potential gains of the proposed PT-GSFIM-based C-RAN, a thorough system-level assessment is presented for three different three-dimensional scenarios taken from standardized 5G New Radio (5G NR), using two different numerologies and frequency ranges. Throughput performance results indicate that the 28 GHz band in spite of its higher bandwidth and higher achieved throughput presents lower spectral efficiency (SE). The 3.5 GHz band having lower bandwidth and lower achieved throughput attains higher SE. Overall, the results indicate that a C-RAN based on the proposed PT-GSFIM scheme clearly outperforms both generalized spatial modulation (GSM) and conventional MU-MIMO, exploiting its additional inherent frequency diversity.info:eu-repo/semantics/publishedVersio

PAPR Analysis in OFDM-IQ-IM Systems

One of the key disadvantages of OFDM system, implemented already in 4G and 5G is high PAPR. For this reason, it is very important to evaluate the PAPR performance of any potential multiplexing technique candidate for upcoming generations. Due to the superior performance over OFDM considering BER performance, spectral efficiency, energy efficiency, OFDM-IQ-IM is one of the promising multiplexing techniques for upcoming generations of wireless technology. Therefore, the PAPR performance of OFDM-IQ-IM system has been analysed here. In deterministic approach, subcarriers are considered to be modulated by symbols with highest power and the upper limit of the PAPR of OFDM-IQ-IM system has been formulated. Using statistical distribution, a probabilistic approach has been taken to determine the PAPR performance of the OFDM-IQ-IM and OFDM-IM systems. The distribution of PAPR of OFDM-IQ-IM and OFDM-IM systems has been evaluated considering the discrete time baseband signals for both in-phase and quadrature components as independent Gaussian random variables. A comparative analysis of the PAPR of OFDM, OFDM-IM and OFDM-IQ-IM systems has been made in both deterministic and probabilistic approach. Thus improved PAPR performance has been noticed in OFDM-IQ-IM system compared to OFDM-IM and OFDM systems for same spectral efficiency