A Multiuser Detection Algorithm in the Uplink SC-FDMA System for Green Communication Network

The main reason for the selection of single-carrier frequency division multiple access (SC-FDMA) modulation technique in mobile high data rate communications lays in its low value of peak-to-average power ratio (PAPR). If spatial modulation, a multiple-input multiple-output technique that achieves bitrate increase, is applied to the SC-FDMA system in its conventional form, the PAPR level is increased. Hence, based on previously mentioned, in this paper, we provide the general design criteria for low PAPR spatial modulation (LPSM) implemented in SC-FDMA systems with multiple transmit antennas. The straightforward generalization of LPSM is derived and it is shown that it requires the number of transmit antennas to be doubled in order to add another bit in the spatial component. Based on that, the alternative generalized technique with higher number of spatial bits is proposed. As these techniques present single-stream generalizations, the approach with multiple-streams is proposed as well. After PAPR and performance comparisons, it is concluded that single-stream techniques outperform multiple-stream techniques in the cases of low overall data rate, whereas multiple-stream approach is better in high overall data rate scenarios. All proposed techniques maintain low PAPR level on all transmit antennas.

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“…From (28), (29), (30), and (34), it can be concluded that N T points form a regular simplex for the phases proposed in (13).…”

Section: Appendix Amentioning

confidence: 93%

“…It is worth noting that the single stream GLPSM techniques require higher order underlying modulations that, in general, have greater PAPR values [30,31]. Hence, for better evaluation of the techniques, the PAPR comparison of the models is given in Fig.…”

Section: Performance Comparisonmentioning

confidence: 99%

Multiple transmit antennas for low PAPR spatial modulation in SC-FDMA: single vs. multiple streams

Sinanovic

Šišul

Kurdija

et al. 2020

J Wireless Com Network

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“…The main drawback of this algorithm is the primary user's mobility statistics are only considered, whereas the secondary users mobility statistics are not considered. Bao et al developed optimal weight parallel interference cancellation algorithm (OWPIC) for cancelling the multiple access interference in wireless networks. This algorithm is based on parallel interference cancellation, and the iterations used for cancelling the interference is very less.…”

Section: Related Workmentioning

confidence: 99%

Dynamic handover algorithm with interference cancellation in 5G networks for emergency communication

Kiruthika¹,

Sumathy²

2019

Int J Communication

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The integration of 5G networks with cognitive radio (CR) technology enables the software-defined networking (SDN) infrastructure to support emergency applications. In future, CR can be integrated with 5G and many wireless networks like Wi-Fi, WSN, and MANET for efficient spectrum utilization with higher data rate and lower latency. This CR technology allows unlicensed users to access the licensed spectrum, whenever it is free. In this paper, an efficient SDN architecture with cognitive ability for emergency network is proposed in which the SDN controller prolong communication between disaster victims and first responders and so the first responders can arrive at the spot directly and rescue the victims. The SDN controller has cognitive ability so that the victims can utilize the vacant licensed band to communicate with the first responders, thereby improving the spectrum utilization of the network.Another two main challenges during emergency are the occurrence of interference and link failure. The proposed dynamic handover algorithm with interference cancellation (DHAIC) cancels the interference between the nodes inside the network and performs dynamic handoff, whenever link failure occurs between the cluster head (CH) and the controller. An optimum throughput and minimal delay is achieved to ensure the network performance. KEYWORDScognitive radio (CR), emergency communication networks (ECN), interference cancellation, mobility management, software-defined networking (SDN) technology, so controlling the network task of different application is very difficult. Software-defined networks provide a better solution for simplifying the network tasks.Software-defined networking (SDN), an efficient framework integrated with 5G technology, 2 allows the present network administrators to dynamically manage and control the network resources without the need of tedious manual configuration. Here, the data plane and control plane get separated for improving the network performance. The open flow protocol of SDN enables the 5G network to be more flexible and reprogrammable.The spectrum should be efficiently utilized in 5G networks since the 5G network supports higher data rate with minimal delay. The cognitive radio is a technology 3 that paves the way for efficient utilization of spectrum by allowing unlicensed users to access the licensed spectrum. The licensed users are termed as primary users (PU) and the unlicensed users are termed as secondary users (SU). According to the Federal Communications Commission (FCC), the major portion of TV UHF band (470-590 MHz) is underutilized, ie, 100% of the TV UHF band is free, for at least 56.27% areas in the country. So to improve spectrum utilization, cognitive radio allows the unlicensed users to access the licensed spectrum whenever the spectrum is free. This improved spectrum utilization results in higher data rate with lower latency. | SDN-MANET architectureThe proposed SDN-MANET (software-defined networking-based MANET) architecture incorporates the technologies like 5G, cognit...

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“…Accordingly, the Third-Generation Partnership Project Long-Term Evolution (3GPP-LTE) adopted SC-FDMA for uplink data transmission. Recently, SC-FDMA was also adopted in various major applications of 4th-generation (4G) LTE advanced (LTE-A) and 5th-generation (5G) new radio networks [8,9] including heterogeneous networks [10,11], multiple input and multiple output [12][13][14], machine-type communications [15,16], and green communications [17].…”

Section: Introductionmentioning

confidence: 99%

Uplink Transmit Power Control for Single-Carrier Grouped FDMA with Iterative Multiuser Detection

Cho

Kang²,

Min

2019

Applied Sciences

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We consider an uplink power allocation scheme for single-carrier frequency-division multiple access (FDMA) with iterative multiuser detection, called single-carrier grouped FDMA (SC-GFDMA). SC-GFDMA is a non-orthogonal scheme in which several users share a single time-frequency resource. Hence, the uplink signal of a user can be regarded as both a signal and a source of interference. The signal power of each user should be sufficiently high to ensure reliable signal detection and sufficiently low to suppress inter-user interference. That is, the transmit power of each user should be adjusted appropriately to achieve high spectral efficiency. In this context, a power control method for an uplink SC-GFDMA system is proposed by analyzing the signal-to-interference-plus-noise ratios of users sharing each time-frequency resource. In particular, the uplink spectral efficiency is improved by limiting the transmit power of each user according to a criterion derived using a semi-analytic method called signal-to-noise ratio-variance density evolution. Simulation results demonstrate that the proposed method can significantly increase the spectral efficiency of the system, even with a considerably reduced total transmit power.

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A Multiuser Detection Algorithm in the Uplink SC-FDMA System for Green Communication Network

Cited by 8 publications

References 28 publications

Multiple transmit antennas for low PAPR spatial modulation in SC-FDMA: single vs. multiple streams

Multiple transmit antennas for low PAPR spatial modulation in SC-FDMA: single vs. multiple streams

Dynamic handover algorithm with interference cancellation in 5G networks for emergency communication

Uplink Transmit Power Control for Single-Carrier Grouped FDMA with Iterative Multiuser Detection

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