Iterative Signal Detection for Large-Scale GSM-MIMO Systems

Lopes, Hugo Ferrinho; Souto, Nuno

doi:10.1109/tvt.2018.2820201

Cited by 12 publications

(26 citation statements)

References 26 publications

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“…Solving this non-convex problem directly would require excessive or even unfeasible computational complexity for moderate to large problem settings. To tackle the problem, we adopt instead a similar approach to the one we applied in [7], which is based on the idea of using ADMM as an heuristic for splitting a complex problem into a sequence of simpler ones (as addressed in [32]). Being an heuristic based approach, there will be no guarantee that the resulting algorithm will converge to the solution of the original MLD problem.…”

Section: Receiver Designmentioning

confidence: 99%

“…While this means that the detector will be suboptimal, it will require a much lower computational cost. Following a similar derivation to the one provided in [7], we can arrive at the iterative detection algorithm shown in Table 2 which can be used in each GSM receiver. Table 2.…”

Section: Receiver Designmentioning

confidence: 99%

“…To increase the SE of the transmission, different modulated symbols are sent on different (virtual) antennas, where high-order M-QAM constellation with sizes reaching M = 1024 symbols are considered. To remove inter-user interference and transform the MU transmission into several independent SU links, a BD precoder is applied at the BS, while a modified and improved version of the low-complexity SU GSM detector presented in [7] is used at the receiver.…”

Section: Introductionmentioning

confidence: 99%

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Precoded Generalized Spatial Modulation for Downlink MIMO Transmissions in Beyond 5G Networks

et al. 2020

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The design of multiple input multiple output (MIMO) schemes capable of achieving both high spectral and energy efficiency constitutes a challenge for next-generation wireless networks. MIMO schemes based on generalized spatial modulations (GSM) have been widely considered as a powerful technique to achieve that purpose. In this paper, a multi-user (MU) GSM MIMO system is proposed, which relies on the transmission of precoded symbols from a base station to multiple receivers. The precoder’s design is focused on the removal of the interference between users and allows the application of single-user GSM detection at the receivers, which is accomplished using a low-complexity iterative algorithm. Link level and system level simulations of a cloud radio access network (C-RAN) comprising several radio remote units (RRUs) were run in order to evaluate the performance of the proposed solution. Simulation results show that the proposed GSM MU-MIMO approach can exploit efficiently a large number of antennas deployed at the transmitter. Moreover, it can also provide large gains when compared to conventional MU-MIMO schemes with identical spectral efficiencies. In fact, regarding the simulated C-RAN scenario with perfect channel estimation, system level results showed potential gains of up to 155% and 139% in throughput and coverage, respectively, compared to traditional cellular networks. The introduction of imperfect channel estimation reduces the throughput gain to 125%.

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Section: Receiver Designmentioning

confidence: 99%

Section: Receiver Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Precoded Generalized Spatial Modulation for Downlink MIMO Transmissions in Beyond 5G Networks

et al. 2020

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“…A less critically iterative suboptimal detector method was proposed by Hugo lopes et al [11]. This algorithm process are unconstrained Euclidean distance minimization problem, over the signal constellation of projection in an element wise and projection over the bunch of accurate antenna combinations.…”

Section: Related Workmentioning

confidence: 99%

ISSOR Signal Detection for Energy Efficient and Low Complexity Large Scale MIMO System

2019

IJEAT

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Scalable version of multiuser MIMO called Large-scale MIMO is a one of the powerful technology in future wireless communication systems in which huge amount of BS (base station) antennas utilized to process multiple user equipment. Energy consumed is high with more antennas and also it leads to increase the signal detection complexity and overall circuit power consumption. Designing energy efficient and low complexity MIMO system is considered as a challenging issue. This paper presents the ISSOR signal detection for energy efficient and low complexity large scale MIMO system. VA-GSM (Variable Antenna Generalized spatial modulation) is used in which the number of active antenna transmissions are varied for every transmission in the large scale MIMO. In transmitter side, Eigen value based approach is used for antenna selection. Then, improved symmetric successive over relaxation (ISSOR) approach is proposed for low complexity signal detection in receiver side. The number of user equipment, transmit power, as well as the amount of antennas at the base station, are considered as the optimal system parameters which are chosen for enhancing the efficiency of utilized energy in the system. The proposed scheme implemented in MATLAB software. The proposed scheme attained the high energy efficiency compared to other approaches. Moreover, the BER is utilized to estimate the performance of an offered algorithm and also compared to the previously determined algorithm of existing literatures.

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“…A lot of research efforts have focused on SM and GSM schemes operating in flat fading channels [1]- [6]. However, in broadband systems the channel is often severely time dispersive and leads to high intersymbol interference (ISI) levels.…”

Section: Introductionmentioning

confidence: 99%

Frequency Domain Equalization for Single and Multiuser Generalized Spatial Modulation Systems in Time Dispersive Channels

Souto

Correia

2020

IEEE Wireless Commun. Lett.

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In this letter, a low-complexity iterative detector with frequency domain equalization is proposed for generalized spatial modulation (GSM) aided single carrier (SC) transmissions operating in frequency selective channels. The detector comprises three main separate tasks namely, multiple-input multiple-output (MIMO) equalization, active antenna detection and symbol wise demodulation. This approach makes the detector suitable for a broad range of MIMO configurations, which includes single-user and multiuser scenarios, as well as arbitrary signal constellations. Simulation results show that the receiver can cope with the intersymbol interference induced by severe time dispersive channels and operate in difficult underdetermined scenarios where the total number of transmitter antennas is substantially larger than the number of receiver antennas.

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Iterative Signal Detection for Large-Scale GSM-MIMO Systems

Cited by 12 publications

References 26 publications

Precoded Generalized Spatial Modulation for Downlink MIMO Transmissions in Beyond 5G Networks

Precoded Generalized Spatial Modulation for Downlink MIMO Transmissions in Beyond 5G Networks

ISSOR Signal Detection for Energy Efficient and Low Complexity Large Scale MIMO System

Frequency Domain Equalization for Single and Multiuser Generalized Spatial Modulation Systems in Time Dispersive Channels

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