The convex geometry of subchannel attenuation coefficients in linearly precoded OFDM systems
نویسندگان
چکیده
منابع مشابه
The convex geometry of subchannel attenuation coefficients in linearly precoded OFDM Systems
Channels with spectral nulls are sometimes dubbed bad channels because they can cause poor performance in communication systems. This correspondence investigates the validity of this intuition by studying the geometry of an orthogonal frequency-division multiplex (OFDM) system. It is shown that the subchannel attenuation coefficients form a natural coordinate system for describing finite-impuls...
متن کاملLinearly Precoded or Coded OFDM against Wireless Channel Fades?
Orthogonal Frequency Division Multiplexing (OFDM) converts a dispersive channel into parallel subchannels and thus facilitates equalization. But when the channel has nulls close to or on the FFT grid, OFDM faces serious symbol recovery problems. As an alternative to various error-control coding techniques that have been proposed to ameliorate the problem, we linearly precode (LP) symbols before...
متن کاملChannel-aware adaptive receivers for linearly precoded MIMO-OFDM systems with imperfect CSIT
Within the context of linearly precoded MIMO-OFDM (combination of multiple antenna techniques with multicarrier transmission schemes such as orthogonal frequency division multiplexing) systems with multiple-stream transmission, maximum likelihood detection (MLD) has been shown to offer large performance gains when compared to an all-linear setup (i.e., linear transmitter/receiver) when either p...
متن کاملPrecoded OFDM in Powerline Communications
Power Line Communication (PLC) uses the highly developed infrastructure of the electrical energy distribution network for data transmission. Measurements are showing that a broadband use of PLC channels is possible. So, PLC is of interest to future broadband communication systems. Such systems will be heterogeneous in several respects, for example relative to the used transmission channel but a...
متن کاملA linearly distributed lag estimator with r-convex coefficients
The purpose of linearly distributed lag models is to estimate, from time series data, values of the dependent variable by incorporating prior information of the independent variable. A least-squares calculation is proposed for estimating the lag coefficients subject to the condition that the rth differences of the coefficients are non-negative, where r is a prescribed positive integer. Such pri...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Information Theory
سال: 2002
ISSN: 0018-9448
DOI: 10.1109/18.995651