Capacity Analysis of Lattice Reduction Aided Equalizers for Massive MIMO Systems

Sur, Samarendra Nath; Bera, Rabindranath; Bhoi, Akash Kumar; Shaik, Mahaboob Basha; Marques, Gonçalo

doi:10.3390/info11060301

Cited by 7 publications

(5 citation statements)

References 41 publications

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“…The Multi-input multi-output technology (MIMO) has been almost a decade, but equipping base stations (BS) with multiple antennas is a new concept in 5G and beyond 5G (B5G), called massive MIMO (mMIMO) [95,[112][113][114]. The mMIMO has proven an efficient player for industrial Internet of things (IIoT) networks [115], mobile edge computing [116], virtual reality [117], 5G wireless communication networks [118], autonomous driving [119], augmented reality [120] and wireless sensor networks [121][122][123].…”

Section: Massive Mimomentioning

confidence: 99%

From 5G to beyond 5G: A Comprehensive Survey of Wireless Network Evolution, Challenges, and Promising Technologies

et al. 2023

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The histrionic growth of mobile subscribers, disruptive ecosystems such as IoT-based applications, and astounding channel capacity requirements to connect trillions of devices are massive challenges of the earlier mobile generations, 5G turned up the key solution. The prime objective of the 5G network is not only to maintain a 1000-fold capacity gain and 10 Giga Bits per second delivered to a single user, but it also assured quality-of-service, higher spectral efficiency, the ultra-reliable and improved battery lifetime of devices and massive machine-type communication (mMTC). The huge traffic load and high amount of resource consumption in 5G applications, augmented reality and virtual reality for magnificent virtual experience, and wireless body area networks will seriously affect the channel capacity of cellular cells and interrupt the admission and service of other users which makes compulsory new means of channel capacity and spectral efficiency enhancement techniques. In this research, we review several key emerging wireless technologies to increase channel capacity and spectral efficiency that will not only lead to improve network performance but also meets the ever-increasing user demands. We investigate various benefits and current research challenges of using these technologies. We analyze massive multi-input multi-output technology (mMIMO) an efficient technique and promising solution for the 5G and Beyond 5G (B5G) networks with several benefits and features. Moreover, this paper will be of vast help to the researchers who will involve advance investigation and also to the wireless network operator industry that is in the search for smooth development of state-of-the-art 5G and B5G networks.

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Section: Massive Mimomentioning

confidence: 99%

From 5G to beyond 5G: A Comprehensive Survey of Wireless Network Evolution, Challenges, and Promising Technologies

et al. 2023

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“…Recently, lattice reduction algorithm has been widely used for MIMO OFDM system. Because they can achieve the same diversity as ML detectors with low complexity [14,15].In all lattice reduction algorithm, LLL algorithm is considered to be the most practical one. The lattice reduction algorithm is a powerful preprocessing technique that can be used for linear receivers and successive interference cancellation (SIC) [16,17] methods.…”

Section: Of 11mentioning

confidence: 99%

“…The LR-aided MIMO receiver first finds the set of small, nearly orthogonal matrices for the given channel matrix and decodes the symbols using this matrix rather than the original channel matrix. Different LR algorithms (such as LLL [18] or Seysen [19] ) can be used to generate near orthogonal matrices of a given lattice. Compared with the hard discrimination method, the soft discrimination method has higher system performance.…”

Section: Of 11mentioning

confidence: 99%

Modifed SIC Algorithm based on Lattice Reduction Aided for MIMO OFDM Detection

Liu¹,

Fan²,

Cheng³

et al. 2022

Preprint

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The lattice reduction aided(LRA) algorithm has attracted widely attention of researchers in MIMO systems because of its low complexity to achieve full diversity. However, most lattice reduction auxiliary algorithms do not directly improve system performance. In this paper, a modified lattice reduction successive interference cancellation (SIC) algorithm is proposed for MIMO OFDM system mild changing the complexity of LRA algorithm. At present, the MMSE SQRD algorithm has the problem of regarding too much useful signals as the residual interference which cannot be cancelled by successive interference cancellation. Since the diagonal elements of useful signals are non-zero, the components of the symbols to be detected still present in the interference term, treating all the signals as interference will be resulted in performance loss. To solve this problem, the modified matrix is proposed.by moving this symbol component into the signal term, the proposed algorithm can provide the better performance than MMSE SQRD algorithm. The analysis shows that the LRA-MMSE-SIC algorithm of proposed in this paper significantly improves the system performance with mild increasing the complexity. The simulation results show that the performance of the proposed algorithm is improved by 1dB and 8dB compared with the comparison algorithm when the bit error rate is 10−3.

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“…It must be pointed out that in most modern communications systems, multiuser scenarios are assumed. This means that specific care is needed in the choice of the user’s signal detection algorithms, since it impacts the overall system performance measured, for example, in terms of the ergodic capacity (adopted in the submission) [ 33 ]. A classical compromising choice for MIMO systems proposes that the receiver employs the zero-forcing (ZF) processing strategy, which is examined in this research.…”

Section: Introductionmentioning

confidence: 99%

Closed-Form Capacity Reliability Analysis of Multiuser MIMO System in the Presence of Generalized Multipath Fading

Gvozdarev

Alishchuk

Kazakova

2023

Sensors

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This research studies the problem of a joint capacity/capacity reliability analysis of the multiuser multi-input multioutput (MIMO) system functioning in the presence of generalized multipath fading. The study presents the derived results of the closed-form analytical statistical description of the ergodic sum-rate capacity, the capacity reliability and the capacity’s higher-order statistics in the case of complex Nakagami-m distributed channel transmission coefficients. A numerical verification of the derived expressions was performed, and it demonstrated excellent correspondence with the simulation. The system performance was evaluated with the help of a numerical analysis of the joint first- and second-order statistics description, depending on the channel and system parameters. The results demonstrated several peculiarities, e.g., the existence of a specific extremum of the capacity reliability for small-sized MIMO systems, its opposite behavior (in terms of the varying number of antenna elements) for heavy and light fading, and the existing asymptotic regions of the system and the channel parameters.

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Capacity Analysis of Lattice Reduction Aided Equalizers for Massive MIMO Systems

Cited by 7 publications

References 41 publications

From 5G to beyond 5G: A Comprehensive Survey of Wireless Network Evolution, Challenges, and Promising Technologies

From 5G to beyond 5G: A Comprehensive Survey of Wireless Network Evolution, Challenges, and Promising Technologies

Modifed SIC Algorithm based on Lattice Reduction Aided for MIMO OFDM Detection

Closed-Form Capacity Reliability Analysis of Multiuser MIMO System in the Presence of Generalized Multipath Fading

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