Maximum Likelihood Decoding in a Space Division Multiplexing System

نویسندگان

  • Richard van Nee
  • Allert van Zelst
  • Geert Awater
چکیده

An analysis is made of Maximum Likelihood Decoding (MLD) in a wireless Space Division Multiplexing (SDM) link, where information is transmitted and received simultaneously over several transmit and receive antennas to achieve large data rates and high spectral efficiencies. It is proven that maximum likelihood decoding obtains a diversity order equal to the number of receive antennas, independent of the number of transmit antennas, while conventional processing techniques such as the Minimum Mean Square Error (MMSE) technique obtain a diversity order equal to the number of receive antennas minus the number of transmit antennas plus one. Hence, compared to conventional techniques, maximum likelihood decoding has a significant signalto-noise ratio advantage which grows with the number of transmit antennas. Maximum likelihood decoding even works when the number of transmit antennas is larger than the number of receive antennas, which is not possible for conventional techniques.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Space Division Multiplexing (SDM) for OFDM systems

A promising solution for significant increase of the bandwidth efficiency and transmission capacity is the exploitation of the spatial dimension, by using Space Division Multiplexing (SDM). SDM algorithms exploit the richly scattered (indoor) wireless channel by using multiple transmit and receive antennas. In this paper, a new SDM technique, called Maximum Likelihood Decoding (MLD) is proposed...

متن کامل

A Maximum Likelihood (ML) based OSTBC-OFDM System over Multipath Fading Channels

This paper proposes a space-time block-coded orthogonal frequency-division multiplexing (STBC-OFDM) scheme for frequency-selective fading channels which does not require channel knowledge either at the transmitter or at the receiver. This paper proposed a generalized maximum likelihood estimation decoding algorithm. Due to the orthogonality nature of STBC, the rule for decoding was reduced to a...

متن کامل

Evaluating a New Subcarrier Mapping Ici-sc Scheme Using Linear Maximum Likelihood Alamouti Combiner (lmlac) Decoding Technique

This paper presents a new subcarrier mapping scheme ICI-SC technique that use Linear Maximum Likelihood Alamouti Combiner (LMLAC) as a decoding technique to mitigate intercarrier interference (ICI) problem with low complexity decoding system for space time frequency block codes (STFBC) orthogonal frequency division multiplexing (OFDM) in the frequency selective environments. We provide details ...

متن کامل

Per-antenna-coded schemes for MIMO OFDM

Two Per-Antenna-Coding (PAC) receiver schemes for Multiple-Input Multiple-Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) are described and compared in this paper. In MIMO, the data to transmit are multiplexed onto different antennas. With PAC (sometimes called horizontal coding), these different data streams are encoded separately. For the receiver, two schemes are proposed to ...

متن کامل

Reduced Complexity Space Division Multiplexing Receivers

Abstract — This paper presents Space Division Multiplexing (SDM) as a technology to satisfy the user demand for ever higher bit rates in wireless Local area network technology. SDM uses multiple transmit and receive antennas to increase bit rate proportionally, without reducing range, delay spread tolerance and spectrum occupancy. The optimal SDM receiver is the maximum likelihood decoder, whic...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2000