Abstract

Crosstalk is the main degrading factor in Digital Subscriber Line (DSL) systems which are the result of electromagnetic coupling between two adjacent twisted pairs in a cable. Very-high bit-rate Digital Subscriber Line (VDSL) systems which use higher frequencies for data transmission than the other DSL systems, this effect is more considerable in Bit Error Rate (BER) degradation. This paper considers a complete adaptive iterative water-filling (IWF) algorithm for Resolving Upstream Near-Far Problem in VDSL Systems. The new distributed dynamic spectrum management algorithm is proposed, which improve achievable bit rate of iterative water-filling algorithm. The paper proffers a new power back-off strategy of the spectral mask at the near-end users, in order to protect the far-end users. Simulation of the proposed algorithm indicates that the bit rate is increased considerably rather the IWF and adaptive water-filling (AIWF) algorithms by keeping their low complexity. Furthermore, by adding the number of users in network, the new algorithm achieves performance gains over the AIWF, completely adaptive.

Highlights

  • The most popular broadband access technology is the Digital Subscriber Line (DSL) [1]

  • Very-high bit-rate Digital Subscriber Line (VDSL) systems which use higher frequencies for data transmission than the other DSL systems, this effect is more considerable in Bit Error Rate (BER) degradation

  • This paper considers a complete adaptive iterative water-filling (IWF) algorithm for Resolving Upstream Near-Far Problem in VDSL Systems

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Summary

Introduction

The most popular broadband access technology is the DSL [1]. In the performance of DSL systems, the most important factor is the interference between cables, known as crosstalk. One of the algorithms which improve on the performance of IWF is adaptive IWF [11] This algorithm showed that in the upstream VDSL scenario, if the FEXT was impacted by one near-end user from central office, influenced on farend users, and AWIF algorithm only decreased power of sub-channels that influenced on bit rate of farend users, instead of total transmission power of nearend user. It is known that the coupling and channel gains in DSL systems which are severely Frequency-Selective By this fact, the proposed algorithm decreases the transmission power of near-end users only in subchannels that have the worst effect over bit rates of far-end users, completely adaptive. CAIWF retains all advantages of IWF and AIWF, i.e., fully-distributed implementation, low-complexity

System Model
Near-Far Problem
IWF Algorithm
The AIWF Algorithm
The Proposed Algorithm
Complexity
IWF Complexity
AIWF Complexity
CAIWF Complexity
Simulation Result
Conclusions
Findings
10. References

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