Multiuser decoding for multibeam systems

Moher, M.

doi:10.1109/25.875232

Cited by 37 publications

(31 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this context, a multiuser decoding algorithm has been presented in [15]. The capacity analysis of multibeam joint decoding over composite satellite channels has been carried out in [16].…”

Section: Multicell/multibeam Joint Decodingmentioning

confidence: 99%

Interference alignment for spectral coexistence of heterogeneous networks

Sharma

Chatzinotas

Ottersten

2013

J Wireless Com Network

101

View full text Add to dashboard Cite

The coexistence of heterogeneous networks within the same spectrum for enhancing the spectrum efficiency has attracted large interest lately in the research community. Furthermore, the research interest towards the deployment of small cells and multibeam satellites is increasing due to high capacity, easier deployment and higher energy efficiency. However, due to the scarcity of available spectrum and the requirement of additional spectrum for these systems, small cells need to coexist with macrocells and multibeam satellites need to coexist with monobeam satellites within the same spectrum. In this context, this contribution investigates an underlay spectral coexistence mechanism which exploits an interference alignment (IA) technique in order to mitigate the interference of cognitive transmitters towards the primary receivers in a normal uplink mode. More specifically, three types of IA techniques, namely static, uncoordinated and coordinated are investigated. The performance of the IA technique is evaluated and compared with primary only, resource division and no-mitigation techniques in terms of sum-rate capacity, primary to secondary rate ratio and primary rate protection ratio. It is shown that the coordinated IA technique perfectly protects the primary rate in both terrestrial and satellite coexistence scenarios.

show abstract

Section: Multicell/multibeam Joint Decodingmentioning

confidence: 99%

Interference alignment for spectral coexistence of heterogeneous networks

Sharma

Chatzinotas

Ottersten

2013

J Wireless Com Network

101

View full text Add to dashboard Cite

show abstract

“…Thereafter, multi-user detection solutions, which are based on channel decoding and interference cancellation, show high performance even with low signal to noise ratios (SNR) [15], [16]. Some multi-user detection methods, which are developed for multibeam communications, are detailed in [17], [18]. Other detection solutions implementing channel decoding can be found in [19], [20], [21] and [22].…”

Section: Related Workmentioning

confidence: 99%

Multiuser Detection and Channel Estimation for Multibeam Satellite Communications

Chaouech¹,

Bouallègue²

2012

IJCNC

View full text Add to dashboard Cite

In this paper, iterative multi-user detection techniques for multi-beam communications are presented. The solutions are based on a successive interference cancellation architecture and a channel decoding to treat the co-channel interference. Beams forming and channels coefficients are estimated and updated iteratively. A developed technique of signals combining allows power improvement of the useful received signal; and then reduction of the bit error rates with low signal to noise ratios. The approach is applied to a synchronous multi-beam satellite link under an additive white Gaussian channel. Evaluation of the techniques is done with computer simulations, where a noised and multi-access environment is considered.The simulations results show the good performance of the proposed solutions.

show abstract

“…First attempts to study multibeam joint processing in the RL, onwards referred to as multi-beam joint decoding, have been carried out in [35][36][37]. The RL of a satellite system employing multibeam joint decoding was studied via simulations in [37] from a system point of view, where MMSE and optimal multiuser receivers were considered, on a simplistic channel model basis, demonstrating a considerable improvement in both availability and throughput.…”

Section: Multibeam Joint Processing In the Rlmentioning

confidence: 99%

“…Similarly, in [39] the statistics of minimum and maximum eigenvalues were derived for Rician fading with Gamma distributed LoS component. Finally, it should be noted that a multiuser decoding algorithm was presented in [36].…”

Section: Multibeam Joint Processing In the Rlmentioning

confidence: 99%

Linear and nonlinear techniques for multibeam joint processing in satellite communications

Christopoulos

Chatzinotas

Zheng

et al. 2012

J Wireless Com Network

View full text Add to dashboard Cite

Existing satellite communication standards such as DVB-S2, operate under highly-efficient adaptive coding and modulation schemes thus making significant progress in improving the spectral efficiencies of digital satellite broadcast systems. However, the constantly increasing demand for broadband and interactive satellite links emanates the need to apply novel interference mitigation techniques, striving towards Terabit throughput. In this direction, the objective of the present contribution is to investigate joint multiuser processing techniques for multibeam satellite systems. In the forward link, the performance of linear precoding is investigated with optimal nonlinear precoding (i.e., dirty article coding) acting as the upper performance limit. To this end, the resulting power and precoder design problems are approached through optimization methods. Similarly, in the return link the concept of linear filtering (i.e., linear minimum mean square error) is studied with the optimal successive interference cancelation acting as the performance limit. The derived capacity curves for both scenarios are compared to conventional satellite systems where beams are processed independently and interbeam interference is mitigated through a four color frequency reuse scheme, in order to quantify the potential gain of the proposed techniques.

show abstract

Multiuser decoding for multibeam systems

Cited by 37 publications

References 20 publications

Interference alignment for spectral coexistence of heterogeneous networks

Interference alignment for spectral coexistence of heterogeneous networks

Multiuser Detection and Channel Estimation for Multibeam Satellite Communications

Linear and nonlinear techniques for multibeam joint processing in satellite communications

Contact Info

Product

Resources

About