Influence Of Channel State Information Research Articles

Massive MIMO Receiver Design with Channel State Information

In order to achieve an astounding data transfer rate, 5G Technology’s is essential obligation, this is the primal reason while the world considers it as an pivotal active research topic, Amongst numerous techniques available to attain the transfer rate, opted Massive Multiple-Input Multiple-Output (MIMO) system receivers with respect to CSI assuming the mathematic computations and complex equations would be deduced in a primordial passion, is examined in this study. For the uplink, we show the possible transfer rate for both receivers with perfect and imperfect channel state information (CSI), considering that the base station (BS) deploys maximum ratio combining (MRC) or zero-forcing (ZF) receivers. Channel estimation is carried out by transmitting pilot symbols when there is insufficient information about the channel state to establish its properties. Additionally, the influence of channel state information on the power scaling rule is illustrated, and a numerical analysis for combiner is derived. In this study, we compare the competence of receivers under ideal and imperfect CSI. In case of perfect CSI, Value of data rate is 84 bits/sec/Hz for ZF receiver and 45 bits/sec/Hz. In case of imperfect CSI, Value of data rate is 60 bits/sec/Hz for ZF receiver and 37 bits/sec/Hz with number of antennas being 500 and number of pilot bits as 10.

Performance optimization of RF energy harvesting wireless sensor networks

We consider a single-input-multiple-output (SIMO) system where power radiated from the transmitter is received and harvested at the receiver. In the proposed algorithm, we study the influence of Channel State Information (CSI) on the maximum harvestable power at the receiver along with the optimization of receiver architecture, adaptive transmit beam forming, and receiver operation policy. On keen observation of the output response, our simulations results show that adaptive transmit beam forming with optimal time allocation for channel estimation will be favourable for maximization of harvested energy.