Multi-user interference pre-cancellation for downlink signals of multi-beam satellite system

Zheng, Wei; Li, Jianbo; Luo, Yong; Jiang, Chen; Wu, Jianjun

doi:10.1109/cecnet.2013.6703358

Cited by 7 publications

(5 citation statements)

References 9 publications

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“…Joint detection algorithm includes Maximum Likelihood detection method (ML), Zero-Forcing detection method (ZF), and Minimum Mean Square Error detection method (MMSE) [5][6][7][8]. Interference cancellation detection algorithm includes Serial Interference Cancellation method, Parallel Interference Cancellation method, and other improved method.…”

Section: B Common Mai Cancellation Algorithmsmentioning

confidence: 99%

A MAI cancellation algorithm with near ML performance

Bao

2015

2015 IEEE International Conference on Communication Software and Networks (ICCSN)

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Spread spectrum communication has been widely used in many communication system because of its antiinterfere and anti-interception properties. The existing multi access interference (MAI) restraint technology which could be classified as associated determination and interfere cancellation cannot achieve the unification of low arithmetic complexity and high determination performance. For instance, the usual linear associated determination method has low arithmetic complexity but poor performance, while the maximum likelihood (ML) method has the best performance but no feasibility. In this article, the causation and the influence to the system performance of MAI are analyzed systematically based on the theory of spectrum communication, and the representative methods are described and summarized. Based on normal interfere cancellation algorithm, a new dimensional reduced associated determination algorithm with near ML performance is presented and proved to be with low complexity and near the highest theoretical performance by theoretical calculation, complexity analysis and simulation validation. This algorithm significantly improves the application value and feasibility of associated determination technology and has significant importance in solving the possible MAI problem in the spread spectrum communication systems in the future. Index Terms-Spread spectrum communication, multiple access interference, ML Performance, low arithmetic complexity I.____________________________________ 978-1-47--/1/$31.00 ©201 IEEE

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Section: B Common Mai Cancellation Algorithmsmentioning

confidence: 99%

A MAI cancellation algorithm with near ML performance

Bao

2015

2015 IEEE International Conference on Communication Software and Networks (ICCSN)

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“…Its performance is limited by the initial detection accuracy of multiple signals. When multiple interference is serious, the platform effect will emerge early and the detection performance will not be ideal [11,12]. In practical applications, the detection performance can be improved with usage combined with high-gain error correction coding.…”

Section: Multiple User Detection Methods For Spread Spectrum Communicamentioning

confidence: 99%

“…h is the column of H, and h # is the column of the dual matrix H # = ((H H) −1 H ) [12,13]. When H is an orthogonal matrix,…”

Section: Is Shown In Algorithmmentioning

confidence: 99%

Collaborative Covert Communication Design Based on Lattice Reduction Aided Multiple User Detection Method

Bao

Wei

et al. 2017

Wireless Communications and Mobile Computing

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Spread spectrum communication is a typical scheme for covert communication because of its low detectability and antijam characteristic. However, the associated design concerns multiple factors, such as cochannel multiple access interference (MAI) and spread spectrum gain. In this paper, the lattice reduction theory is applied to MAI cancellation of spread spectrum communication and a novel lattice reduction aided multiple user detection method is proposed. The near maximum likelihood (ML) performance of MAI resistance is verified by simulation and theoretical analysis. The superiority of detection performance in strong MAI scenarios is especially addressed. Based on the algorithm, a collaborative covert communication system design is proposed. Low-power covert signals can be transmitted at a higher bit rate with the same coverage as more high-power cochannel signals. The covert transmission performance can be improved significantly compared to traditional designs.

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“…Multiple antennas onboard a single satellite allows it to form multiple high gain beams, which has shown to be a promising route to satisfy demand for high data rates and provide broad coverage, both in LEO and geostationary satellite systems [2]- [6]. Even with highly directional beams, it is often assumed that multi-beam satellite systems operate in an interference-limited regime due to co-channel interference between the main lobes of neighboring spot beams [7], [8]. Less aggressive frequency reuse and strategic beam steering can be used to combat spot beam interference [7]- [10].…”

Section: Introductionmentioning

confidence: 99%

“…Even with highly directional beams, it is often assumed that multi-beam satellite systems operate in an interference-limited regime due to co-channel interference between the main lobes of neighboring spot beams [7], [8]. Less aggressive frequency reuse and strategic beam steering can be used to combat spot beam interference [7]- [10]. As a satellite traverses across the sky along its orbit, its observed beam patterns on the ground distort-even when correcting its beams' steering directions along the way.…”

Section: Introductionmentioning

confidence: 99%

Downlink Analysis of LEO Multi-Beam Satellite Communication in Shadowed Rician Channels

Kim

Roberts

Iannucci

et al. 2021

2021 IEEE Global Communications Conference (GLOBECOM)

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The extension of wide area wireless connectivity to low-earth orbit (LEO) satellite communication systems demands a fresh look at the effects of in-orbit base stations, sky-to-ground propagation, and cell planning. A multi-beam LEO satellite delivers widespread coverage by forming multiple spot beams that tessellate cells over a given region on the surface of the Earth. In doing so, overlapping spot beams introduce interference when delivering downlink concurrently in the same area using the same frequency spectrum. To permit forecasting of communication system performance, we characterize desired and interference signal powers, along with SNR, INR, SIR, and SINR, under the measurementbacked Shadowed Rician (SR) sky-to-ground channel model. We introduce a minor approximation to the fading order of SR channels that greatly simplifies the PDF and CDF of these quantities and facilitates statistical analyses of LEO satellite systems such as probability of outage. We conclude this paper with an evaluation of multi-beam LEO satellite communication in SR channels of varying intensity fitted from existing measurements. Our numerical results highlight the effects satellite elevation angle has on SNR, INR, and SINR, which brings attention to the variability in system state and potential performance as a satellite traverses across the sky along its orbit.

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Multi-user interference pre-cancellation for downlink signals of multi-beam satellite system

Cited by 7 publications

References 9 publications

A MAI cancellation algorithm with near ML performance

A MAI cancellation algorithm with near ML performance

Collaborative Covert Communication Design Based on Lattice Reduction Aided Multiple User Detection Method

Downlink Analysis of LEO Multi-Beam Satellite Communication in Shadowed Rician Channels

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