Linear dispersion codes for MIMO systems based on frame theory
نویسندگان
چکیده
Multiple-input multiple-output (MIMO) wireless communication systems provide high capacity due to the plurality of modes available in the channel. Existing signaling techniques for MIMO systems have focused primarily on multiplexing for high data rate or diversity for high link reliability. In this paper, we present a new linear dispersion code design for MIMO Rayleigh fading channels. The proposed design bridges the gap between multiplexing and diversity and yields codes that typically perform well both in terms of ergodic capacity as well as error probability. This is important because, as we show, designs performing well from an ergodic capacity point of view do not necessarily perform well from an error probability point of view. Various techniques are presented for finding codes with good error probability performance. Monte Carlo simulations illustrate performance of some example code designs in terms of ergodic capacity, codeword error probability, and bit error probability.
منابع مشابه
D-BLAST Lattice Codes for MIMO Block Rayleigh Fading Channels
We propose a class of layered space-time block codes (STBCs) for the quasi-static multi-input multi-output (MIMO) Rayleigh fading channel. The proposed codes use singleinput single-output (SISO) component codes based on algebraic number theory in the so called diagonal BLAST (D-BLAST) architecture. Based on a pairwise error probability analysis, we show that the diversity order of the frame err...
متن کاملOptimizing Space-time Codes via Stochastic Optimization
Linear dispersion (LD) codes are a good candidate for high data rate MIMO signaling. Traditionally LD codes were designed by maximizing the average mutual information, which cannot guarantee good error performance. This paper presents a design scheme for LD codes that directly minimizes bit/block error probability in (possibly spatially correlated) fading MIMO channels with an arbitrary receive...
متن کاملLinear Dispersion Codes Selection Based on Grassmannian Subspace Packing
Subspace Packing Dan Deng, Student Member, IEEE, and Jinkang Zhu, Member, IEEE Abstract: A new method to design codebook is proposed for Linear Dispersion Code (LDC) systems with limited feedback. The extended codebook design method is introduced based on Grassmannian subspace packing and a mapping function, which is derived from the relationship between SVDs of the classical multiplexing syste...
متن کاملTurbo equalization and demodulation of multicode space time codes
This work considers a high rate, multiple input multiple output (MIMO) system using multiple codes, as well as channel coding and space time (ST) coding. The transmitter consists of a channel encoder followed by parallel Linear Dispersion Codes (LDC) ST encoders using different spreading codes. The iterative receiver consists of a soft input and soft output (SISO) demodulator, followed by a SIS...
متن کاملTestbed Measurements of Optimized Linear Dispersion Codes
High-rate optimized linear dispersion (LD) codes have been investigated extensively in theory and by simulation throughout the last years. Regardless of the findings of the research so far, little work has been performed to investigate the performance of such codes in a realistic transmission system. We implemented an optimized full-rate full-diversity space-time block code, derived by Damen, o...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- IEEE Trans. Signal Processing
دوره 50 شماره
صفحات -
تاریخ انتشار 2002