Statistical Analysis of the Wireless Propagation Channel and Its Mutual Information

نویسنده

  • Jari Salo
چکیده

This thesis considers the statistical analysis of the mobile radio propagation channel and certain functions of it. First, mutual information of the fading multiple-input multiple-output (MIMO) wireless channel is analyzed. Specifically, an approximate distribution of mutual information for Rayleigh fading MIMO channels as well as an upper bound for the ergodic mutual information for Rician fading channels are derived. A novel decomposition of mutual information at high SNR is also considered. The decomposition also leads to an appealing measure for spatial multiplexing efficiency, or multipath richness, of a MIMO radio channel. As the second topic, the amplitude distribution function of the general multiple scattering radio channel is derived. Rayleigh, Rice, and double-Rayleigh distributions are special cases of the general result. In the third topic, an additive model is proposed as a physical basis for shadow fading – as an alternative to the conventional multiplicative one. A simple analytical justification for the log-normality of small area shadow fading is provided. The additive model is also shown to be supported by radio channel measurements.

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

A New Unequal Error Protection Technique Based on the Mutual Information of the MPEG-4 Video Frames over Wireless Networks

The performance of video transmission over wireless channels is limited by the channel noise. Thus many error resilience tools have been incorporated into the MPEG-4 video compression method. In addition to these tools, the unequal error protection (UEP) technique has been proposed to protect the different parts in an MPEG-4 video packet with different channel coding rates based on the rate...

متن کامل

Statistical Analysis of Cascaded Multipath Fading Channels

Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto.fi Author Zhong Zheng Name of the doctoral dissertation Statistical Analysis of Cascaded Multipath Fading Channels Publisher School of Electrical Engineering Unit Department of Communications and Networking Series Aalto University publication series DOCTORAL DISSERTATIONS 209/2015 Field of research Communications Engineering Manuscript ...

متن کامل

Improved Channel Estimation for DVB-T2 Systems by Utilizing Side Information on OFDM Sparse Channel Estimation

The second generation of digital video broadcasting (DVB-T2) standard utilizes orthogonal frequency division multiplexing (OFDM) system to reduce and to compensate the channel effects by utilizing its estimation. Since wireless channels are inherently sparse, it is possible to utilize sparse representation (SR) methods to estimate the channel. In addition to sparsity feature of the channel, the...

متن کامل

A Time-Variant MIMO Channel Model Directly Parametrised from Measurements

This paper presents the Random-Cluster Model (RCM), a stochastic time-variant, frequency-selective, propagation-based MIMO channel model that is directly parametrised from measurements. Using a fully automated algorithm, multipath clusters are identified from measurement data without user intervention. The cluster parameters are then used to define the propagation environment in the RCM. In thi...

متن کامل

A Novel Multicast Tree Construction Algorithm for Multi-Radio Multi-Channel Wireless Mesh Networks

Many appealing multicast services such as on-demand TV, teleconference, online games and etc. can benefit from high available bandwidth in multi-radio multi-channel wireless mesh networks. When multiple simultaneous transmissions use a similar channel to transmit data packets, network performance degrades to a large extant. Designing a good multicast tree to route data packets could enhance the...

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 2006