A5036564901- Advanced Wireless Communication Techniques
- Wireless Communication Networks Research
- PAPR reduction in OFDM
- Refrigeration and Air Conditioning Technologies
- Crystallization and Solubility Studies
- X-ray Diffraction in Crystallography
- Adsorption and Cooling Systems
- Autonomous Vehicle Technology and Safety
- Power Line Communications and Noise
- Building Energy and Comfort Optimization
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Advanced MIMO Systems Optimization
Carnegie Mellon University
2024
Indian Institute of Technology Delhi
1986-2005
Indian Institute of Technology Indore
2005
We analyze the error performance of minimum selection generalized combining (MS-GSC), in which number diversity branches are selected such that their combined signal-to-noise ratio (SNR) is above a given threshold. A flat Rayleigh fading channel with independent and distinctly distributed branch SNRs considered. By transforming ordered instantaneous to differences, we derive distribution closed form. then modify derivation this get characteristic function (cf.) combiner output SNR. This cf....
This paper analyzes the error performance of an improved generalized selection combining (GSC) technique called minimum GSC (MS-GSC) in flat Rayleigh fading for coherent digital modulation schemes. Here number diversity branches is selected such that their combined signal-to-noise ratio (SNR) above a given threshold. The threshold chosen here determined by combiner output SNR rather than individual branch SNRs as done absolute (AT-GSC) and normalized (NT-GSC). As result, MS-GSC uses less...
We analyze the error performance of an improved hybrid selection/maximal-ratio combining (H-S/MRC) technique called minimum selection H-S/MRC in flat Rayleigh fading for coherent digital modulation schemes. Here number diversity branches are selected such that their combined signal-to-noise ratio is above a given threshold. derive closed-form expression distribution branches. This used to obtain symbol probability.
We analyze the error performance of minimum selection generalized combining (MS-GSC), in which number diversity branches are selected such that their combined signal-to-noise ratio (SNR) is above a given threshold. A flat Rayleigh fading channel with independent and distinctly distributed branch SNR considered. By transforming ordered instantaneous to differences, we derive distribution closed-form. then modify derivation this get characteristic function (c.f.) combiner output SNR. This c.f....
The method of least squares is based on the assumption that an observation may be represented by y. -M.(x) + 8., where M. represents a model fGnctio~