Capacity analysis of cooperative amplify and forward multiple‐input multiple‐output systems

Eltira, Khadiga; Jibreel, Nareeman; Younis, Abdelhamid; Mesleh, Raed

doi:10.1002/ett.4290

Cited by 4 publications

(3 citation statements)

References 62 publications

(72 reference statements)

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“…For example, when the channel distribution follows the Rayleigh model, the optimal distribution of (X) that maximizes conveyed information is the uniform distribution, approximated by a high-order PSK modulation scheme [23,24]. This observation is verified in Fig.…”

Section: A Achieving the Capacitymentioning

confidence: 65%

Capacity analysis of index modulation multiple access system

Mesleh,

Jibreel,

Younis

2023

J. Commun. Netw.

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Employing cutting-edge non-orthogonal multiple access (NOMA) techniques, index modulation multiple access (IMMA)introduces an efficient methodology. By leveraging index modulation (IM), IMMA facilitates concurrent data transmission among multiple users. It enhances this process by incorporating an additional constellation diagram that conveys extra information bits per channel utilization. In this work, we conduct a comprehensive investigation. We derive the theoretical capacity of the IMMA system and analyze mutual information across receiver channel estimation scenarios-ranging from perfect to imperfect. To validate our derivations, we execute Monte Carlo simulations, affirming our theoretical results. Notably, our findings confirm that the derived theoretical capacity formula acts as an upper bound for simulated mutual information curves. Additionally, we identify conditions for achieving the derived capacity, rigorously verifying their applicability. Through compelling comparisons, we evaluate the IMMA system's performance in mutual information and capacity against sparse code multiple access (SCMA) systems. This analysis underscores the superior attributes of the IMMA system, showcasing its potential. To illuminate practical constraints, we establish a crucial bound on users effectively sharing orthogonal resources, offering deployment insights. Furthermore, we contrast IMMA systems with traditional orthogonal multiple access (OMA) counterparts, dissecting the implications of overloading. This comprehensive approach yields a holistic comprehension of the scheme's ramifications.Index Terms-Index modulation (IM), index modulation multiple access (IMMA), multiple-input multiple-output (MIMO), orthogonal frequency division multiple access (OFDMA), sparse code multiple access (SCMA). I. INTRODUCTIONT HE commercialization of 5G marks the culmination of a decade-long journey in wireless communication research. As the world sets its sights on the future, efforts are already underway to shape the landscape of the 6th Generation [1,2]. These strategic strides have been essential to address the projected 55% annual surge in mobile data traffic over the next decade, aiming to reach a staggering 5000 exabytes by 2030 [3].In response to this exponential demand for higher spectral efficiency, ultra-low latency, and stringent security requirements, innovative approaches have been introduced [1].

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Section: A Achieving the Capacitymentioning

confidence: 65%

Capacity analysis of index modulation multiple access system

Mesleh,

Jibreel,

Younis

2023

J. Commun. Netw.

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“…The closed form of the channel capacity of SM and/or SSK is studied in [18][19][20]. In [21], the capacity of SM techniques in AF cooperative systems is derived, and a comparison between MIMO and SM in AF cooperative systems is presented. In this study, we analyze the capacity of the DSSK in the decode and forward (DF) cooperative system and present a closed form of its lower bound.…”

Section: Introductionmentioning

confidence: 99%

Distributed Space Shift Keying in Cooperative Wireless Networks: Capacity Analysis and Error Performance

Khidr,

Mustafa

2023

Wireless Communications and Mobile Computing

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In this study, a distributed fashion of space shift keying as an efficient cooperative framework is proposed and studied to address the main challenges in future cellular networks by providing high energy efficiency and meeting the demand growth with the lowest complexity and the highest performance. A comprehensive mathematical analysis has been performed to find a closed form for the channel capacity of distributed space shift keying and to depict the influence of the number of distributed antennas on the achievable channel capacity. In addition, a simulation study of the error performance is presented using two detection methods: maximum-likelihood detection based on channel state information and blind detection. It was shown that as the number of cooperating relays increases, the error performance of the detectors converges, although they incur different costs and computational complexities. A comparison study in terms of error performance and capacity is applied with other cooperative spatial modulation to portray the outperformance of the system presented in this work.

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“…COF compresses, encodes and transmits received data to the next-hop device. However, the main drawbacks of the DF and AF approaches include noise amplification and erroneous signal propagation, respectively [7]- [8]. To fix the error propagation and noise amplification problem, the S-DF relaying protocol is considered in [9]- [11], under various fading channel conditions.…”

Section: Introductionmentioning

confidence: 99%

An Investigation of the MIMO Space Time Block Code Based Selective Decode and Forward Relaying Network over n-u Fading Channel Conditions

Shankar¹,

Raman²,

Rane³

et al. 2022

JTIT

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In this paper, we examine the end-to-end average pairwise error probability (PEP) and output probability (OP) performance of the maximum ratio combining (MRC) based selective decode and forward (S-DF) system over an η–µ scattering environment considering additive white Gaussian noise (AWGN). The probability distribution function (PDF) and cumulative distribution function (CDF) expressions have been derived for the received signal-to-noise (SNR) ratio and the moment generating function (MGF) technique is used to derive the novel closed-form (CF) average PEP and OP expressions. The analytical results have been further simplified and are presented in terms of the Lauricella function for coherent complex modulation schemes. The asymptotic PEP expressions are also derived in terms of the Lauricella function, and a convex optimization (CO) framework has been developed for obtaining optimal power allocation (OPA) factors. Through simulations, it is also proven that, depending on the number of multi-path clusters and the modulation scheme used, the optimized power allocation system was essentially independent of the power relation scattered waves from the source node (SN) to the destination node (DN). The graphs show that asymptotic and accurate formulations are closely matched for moderate and high SNR regimes. PEP performance significantly improves with an increase in the value of η for a fixed value of µ. The analytical and simulation curves are in close agreement for medium-to-high SNR values.

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Capacity analysis of cooperative amplify and forward multiple‐input multiple‐output systems

Cited by 4 publications

References 62 publications

Capacity analysis of index modulation multiple access system

Capacity analysis of index modulation multiple access system

Distributed Space Shift Keying in Cooperative Wireless Networks: Capacity Analysis and Error Performance

An Investigation of the MIMO Space Time Block Code Based Selective Decode and Forward Relaying Network over n-u Fading Channel Conditions

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