DMT MIMO IC rate maximization in DSL with per-transceiver power constraints

This paper deals with the discrete multitone multiple input, multiple output interference channel (DMT MIMO IC) in DSL networks. The scenario consists of a number of users, each with a given number of transceivers, that share the same channel in multiple tones. Our goal is to maximize the weighted r...

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Vydáno v:Signal processing Ročník 101; s. 87 - 98
Hlavní autoři: Moraes, Rodrigo B., Tsiaflakis, Paschalis, Maes, Jochen, Moonen, Marc
Médium: Journal Article
Jazyk:angličtina
Vydáno: Amsterdam Elsevier B.V 01.08.2014
Elsevier
Témata:
Algorithms
Applied sciences
Approximation
Channels
Detection, estimation, filtering, equalization, prediction
DSL
Dynamic spectrum management
Exact sciences and technology
Information, signal and communications theory
Integrated circuits
Interference channel
Mathematical analysis
Maximization
Multiple input
Multiple output
Norms
Optimization
Power control
Signal and communications theory
Signal, noise
Subscriber line
Telecommunications and information theory
Power control
DSL
Interference channel
Optimization
Dynamic spectrum management
Multiple input
Multiple output
MIMO system
Frequency allocation
Discrete system
Coordinate system
Multitone system
Timbre
Algorithm
Transceiver
Convergence speed
Dynamic allocation
Simulation
Signal spectrum
Spherical coordinate
Digital subscriber line
Convergence rate
Signal processing
High rate transmission
ISSN:0165-1684, 1872-7557
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Shrnutí:This paper deals with the discrete multitone multiple input, multiple output interference channel (DMT MIMO IC) in DSL networks. The scenario consists of a number of users, each with a given number of transceivers, that share the same channel in multiple tones. Our goal is to maximize the weighted rate sum of the users subject to power constraints. A recent paper has treated this problem with per-user power constraints. In this paper we focus on per-transceiver power constraints. We propose two different algorithms. First, we straightforwardly adapt the previously proposed DMT-WMMSE algorithm. Second, we adapt the WMMSE-GDSB, in which we separate the problem in signal and spectrum coordination parts. For the spectrum coordination part, we show that the problem can be solved more efficiently with a change of variables: we use a coordinate system consisting of a radius and a direction vector with ℓ1 norm equal to 1. This can be interpreted as spherical coordinates in taxicab geometry. It is observed that for the radial dimension the problem can be made concave after approximations and it is thus easy to solve. The remaining dimensions are solved with a sequence of line searches. Simulation results show that the WMMSE-GDSB converges faster. •We focus on the DMT MIMO IC problem with per-transceiver power constraints.•First, we develop a version of the previously proposed DMT-WMMSE.•Second, we develop an algorithm with separated signal and spectrum coordination parts.•For the spectrum part, we use spherical coordinates in taxicab geometry.•Both algorithms perform well, but the second one is observed to be faster.
Bibliografie:ObjectType-Article-2
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ISSN:0165-1684
1872-7557
DOI:10.1016/j.sigpro.2014.02.001