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MIMO can basically be boiled down to this single principle: a wireless network that allows the emit and receiving of more than one data signal at one time over the same radio channel.MIMO remains for Multiple-input multiple-output. Since it involves multiple technologies, MIMO can basically be realized down to this single principle: a wireless network that bears the transfer and receiving of more than one data signal at one time over the same radio channel IMO networks overlook to use two or four antennas. Weighty MIMO, on the other hand, is a MIMO system with an especially high digit of antennas. There’s no set figure for what build Massive MIMO set-up, but the description overlooks to be applied to systems with tens or even hundreds of antennas. For example, Huawei, ZTE, and Facebook have demonstrated the Massive MIMO method with as many as 96 to 128 antennas. Ericsson’s AIR 6468, which the company claims is "the world's first 5G NR radio", uses 64 emit and 64 receive antennas.MIMO fulfill for Multiple-input multiple-output. It involves multiple technologies.

Transmit Diversity vs. Receiver Diversity

Using a diversity greeting is a well-known technique to mitigate the effects of dissolve over a communications link. However, it has mostly been allowed to the receiver end. Alamouti brings in a transmit diversity scheme that offers similar variety gains, managing multiple antennas at the transmitter. This was supposed to be more practical as, for example, it would only demand multiple antennas at the base station in similarity to multiple antennas for every mobile in a cellular communications system.

This place highlights this similarity of transmitting vs. receive variety by simulating compatible double phase-shift keying (BPSK) measures over flat-fading Rayleigh channels. For transmit variety, we use two transmit antennas and one receive antenna (2x1 notationally), while for diversity we employ one transmit antenna and two receive antennas (1x2 notationally).

The simulation covers an end-to-end system showing the encoded and/or transmitted signal, channel model, and reception and demodulation of the received signal. It also provides the no variety link single transmit-receive antenna case and theoretical performance of second-order change link for comparison. It is brought under control here that the channel is known perfectly at the receiver for all systems. We run the interest over a range of Eb/No points to generate BER results that bear us to compare the different systems.

Time Block Coding with Channel Estimation

Building on the theory of orthogonal designs, Tarokh et al. generalized Alamouti transmit diversity scheme to an arbitrary number of transmitter antennas, leading to the concept of Space-Time Block Codes. For complex signal bear, they prove that Alamouti's scheme is the only full-rate plan for two transmit antennas.

In this section, we lesson the performance of like a scheme with two accept antennas with and without channel estimation. In the realistic scenario where the channel state information is not known at the receiver, this has to be extracted from the received signal. We assume that the channel estimator performs this using orthogonal pilot signals that are prepended to every packet. It is assumed that the channel remains unchanged for the length of the packet 

A simulation similar to the one described in the previous section is employed here, which leads us to estimate the BER performance for a space-time block coded system using two transmit and two receive antennas

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Conclusion

The MIMO systems are efficient in increasing the channel capacity and credibility of wireless channels without increasing the method bandwidth and transmitter power. The advanced wireless technologies.WLAN and WiMAX have adopted the MIMO technology in their wireless systems and already the MIMO technology is being used in 3G and 4G mobile communications. At present in India, the 3G service provider Reliance has started using MIMO technology, taking steps at the data rate at a speed of 28 Mbps. The current investigator of MIMO technology has mainly focused on signal processing, channel modeling, and coding perspective rather than the antenna design issues. Hence, in the present thesis, the main respectability is given for this particular area of MIMO technology. The MIMO technology can be perfect for both ground station antennas and small handheld devices like mobile, laptop, Personal Digital Assistants (PDAs), etc. However, implementing the MIMO technology to short portable devices is more challenging mainly due to two reasons.

antennas of the sort handheld devices must have a wideband property to support the large data 129 rates of the present advanced wireless systems. The second reason is, when the multiple antennas are employed in small devices, mutual coupling comes into picture due to the interaction of electromagnetic waves of neighboring antennas. The Microstrip antennas and Dielectric sounding board Antennas (DRAs)are usually preferred for many wireless applications remaining to their low profile. However, the main restriction of both these antennas is their low bandwidth feature. Though DRAs give comparatively good bandwidth, it does not meet the requirements of most of the current wireless applications. Also, when these antennas are employed in Sort handheld devices, mutual coupling dominates, decrement the overall process performance. The researchers are focusing on either progressive the bandwidth or reducing the mutual coupling of these antennas and a little amount of work is subscribing in the literature to handle both the problems simultaneously.