Power Allocation for Capacity Maximization in Eigen-Mimo with Output SNR Constraint
نویسندگان
چکیده
منابع مشابه
Power Allocation for Capacity Maximization in Eigen-mimo with Output Snr Constraint
Water-filling is the power allocation that maximizes the parallel-channel eigen-MIMO informationtheoretic capacity. However, for practical designs, designing for error performance is also important. The overall uncoded error rate, in a system with water-filled eigen-channels using digital modulation, degrades through the errors in the data that uses the weaker eigen-channels. This is because in...
متن کاملPower Allocation Strategies for MIMO Radar Waveform Design
The role of waveform design is central to effective radar resource management for state-of-the art radar systems. The waveform shape employed by any radar system has always been a key factor in determining the performance and application. The design of radar waveform to minimize mean square error (MSE) in estimating the target impulse response is based on power allocation using waterfilling. ...
متن کاملThe Capacity of MIMO Channels with Per-Antenna Power Constraint
We establish the optimal input signaling and the capacity of MIMO channels under per-antenna power constraint. While admitting a linear eigenbeam structure, the optimal input is no longer diagonalizable by the channel right singular vectors as with sum power constraint. We formulate the capacity optimization as an SDP problem and solve in closed-form the optimal input covariance as a function o...
متن کاملPower Allocation for Precoding in Large-Scale MU-MIMO Systems with Per-Antenna Constraint
Large-scale MIMO systems have been considered as one of the possible candidates for the next-generation wireless communication technique, due to their potential to provide significant higher throughput than conventional wireless systems. For such systems, Zero-Forcing (ZF) and Conjugate Beamforming (CB) precoding have been considered as two possible practical spatial multiplexing techniques, an...
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: International Journal of Information Technology, Modeling and Computing
سال: 2013
ISSN: 2320-8449,2320-7493
DOI: 10.5121/ijitmc.2013.1401