Precoding in Multibeam Satellite Communications: Present and Future Challenges

Vázquez, Miguel Ángel; Pérez-Neira, Ana I.; Christopoulos, Dimitrios; Chatzinotas, Symeon; Ottersten, Björn; Arapoglou, Pantelis-Daniel; Ginesi, Alberto; Tarocco, Giorgio

doi:10.1109/mwc.2016.1500047wc

Cited by 231 publications

(199 citation statements)

References 14 publications

(11 reference statements)

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“…Regarding the useful symbols, the BS can serve each user with a different modulation to 2 The proposed algorithms can be applied to Very High Speed Digital Subscriber Line (VDSL) [12] and satellite communications [13], where the channel remains constant for a long period support different user rates. This is enabled through an adaptive modulation scheme.…”

Section: Remarkmentioning

confidence: 99%

Symbol-Level Multiuser MISO Precoding for Multi-Level Adaptive Modulation

Alodeh

Chatzinotas

Ottersten

2017

IEEE Trans. Wireless Commun.

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Symbol-level precoding is a new paradigm for multiuser multiple-antenna downlink systems which aims at creating constructive interference among the transmitted data streams. This can be enabled by designing the precoded signal of the multiantenna transmitter on a symbol level, taking into account both channel state information and data symbols. Previous literature has studied this paradigm for Mary phase shift keying (MPSK) modulations by addressing various performance metrics, such as power minimization and maximization of the minimum rate. In this paper, we extend this to generic multi-level modulations i.e. Mary quadrature amplitude modulation (MQAM) by establishing connection to PHY layer multicasting with phase constraints. Furthermore, we address adaptive modulation schemes which are crucial in enabling the throughput scaling of symbol-level precoded systems. In this direction, we design signal processing algorithms for minimizing the required power under per-user signal to interference noise ratio (SINR) or goodput constraints. Extensive numerical results show that the proposed algorithm provides considerable power and energy efficiency gains, while adapting the employed modulation scheme to match the requested data rate.

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Section: Remarkmentioning

confidence: 99%

Symbol-Level Multiuser MISO Precoding for Multi-Level Adaptive Modulation

Alodeh

Chatzinotas

Ottersten

2017

IEEE Trans. Wireless Commun.

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“…People believe that the SIN will enable a "terabit data rate capacity" broadband 2 Wireless Communications and Mobile Computing access, which was previously possible only with fiber-optic links, and offer the access availability of "anywhere and anytime" inherent to the satellites [5]. Furthermore, the SIN will be a significant enabling factor as well as an important component of the upcoming 5th-generation (5G) networks [6].…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Space Information Networks with Backbone Satellite Relaying for Vehicular Networks

Jiao

Gao

et al. 2017

Wireless Communications and Mobile Computing

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Space Information Network (SIN) with backbone satellites relaying for vehicular network (VN) communications is regarded as an effective strategy to provide diverse vehicular services in a seamless, efficient, and cost-effective manner in rural areas and highways. In this paper, we investigate the performance of SIN return channel cooperative communications via an amplify-andforward (AF) backbone satellite relaying for VN communications, where we assume that both of the source-destination and relaydestination links undergo Shadowed-Rician fading and the source-relay link follows Rician fading, respectively. In this SIN-assisted VN communication scenario, we first obtain the approximate statistical distributions of the equivalent end-to-end signal-to-noise ratio (SNR) of the system. Then, we derive the closed-form expressions to efficiently evaluate the average symbol error rate (ASER) of the system. Furthermore, the ASER expressions are taking into account the effect of satellite perturbation of the backbone relaying satellite, which reveal the accumulated error of the antenna pointing error. Finally, simulation results are provided to verify the accuracy of our theoretical analysis and show the impact of various parameters on the system performance.

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“…Encouraged by the gains offered by precoding, the recently issued DVB-S2x standard [5] provides frame structures that allow for the implementation such techniques. Several works have devised precoding techniques for these frame structures to enable higher system throughput using reuse factors less than the traditional value of four [6], [7], [8], [9].…”

Section: Introductionmentioning

confidence: 99%

Joint predistortion and PAPR reduction in multibeam satellite systems

Mengali

Mysore

Ottersten

2016

2016 IEEE International Conference on Communications (ICC)

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Precoding for multibeam satellites with aggressive frequency reuse has attracted interest of late towards enhancing system capacity. Most of the works on precoding mitigate the linear co-channel interference between the beams caused by frequency reuse. However, the high power amplifier (HPA), an integral part of the satellite payload, is inherently non linear. Non-linear amplification combined with the linear co-channel interference introduces nonlinear co-channel distortions at the receiver. Further, signals with very high peak to average power ratios (PAPR), typical of spectrally efficient modulations, are sensitive to the non-linear characteristic of the HPA and necessitate large back-off to have manageable distortion levels. In this work, a novel architecture comprising multistream Crest Factor Reduction (signal pre-clipping) and Signal Predistortion (SPD) in cascade, is devised to counter the nonlinearities and co-channel interference in multibeam satellite systems. An iterative algorithm to optimize the parameters of the signal clipping and predistortion is devised taking recourse to analytical derivations. The proposed joint estimation paradigm is shown to compare favorably with state-of-art and provides a framework to combine predistortion and precoding.

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Precoding in Multibeam Satellite Communications: Present and Future Challenges

Cited by 231 publications

References 14 publications

Symbol-Level Multiuser MISO Precoding for Multi-Level Adaptive Modulation

Symbol-Level Multiuser MISO Precoding for Multi-Level Adaptive Modulation

Performance Analysis of Space Information Networks with Backbone Satellite Relaying for Vehicular Networks

Joint predistortion and PAPR reduction in multibeam satellite systems

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