Novel Channel Estimation Techniques to support Transmission of Sparsified Biomedical Data in 5g Networks

Abstract

Achieving high data rate wirelessly is a challenging task for the current researchers. In the past years, we have seen a significant improvement in the data rate. The current electronic devices require high data rate to operate that is ultra-high-speed networks. A revolution can be expected with a 5G network in both radio access network and mobile networking. Till now there are theories that can predict the speed of 5G network as a maximum of 10Tb/s/ km2 , with end-to-end latency as one Millisecond and with the location accuracy of 99.999% reliability. To achieve such an excellent accuracy and the speed Massive Multiple Input Multiple Output (MMIMO) method is used. MMIMO method utilizes hundreds of antennas which are equipped at BS (Base Station). Several antennas can handle thousands of users. The bandwidth spectrum can be used to limit can be avoid the measuring of mm-Wave system of communication, and this technology can provide an ultra-high transmission rate up to 30GHz - 300GHz. The antennas in the MMIMO systems works in the cost-effective module in the consume low power in the simple processing. High antenna array gain is achieved using uplink MMIMO systems by coherent combining and uplink MMIMO systems also reduce the power consumption of transmission for every user. In downlink MMIMO systems, BS can transmit spectral energy towards the spatial direction of placed terminals to decrease the radiated power of antenna array elements to attain high energy efficiency. The gain is achieved using the uplink MMIMO by the coherent combining. By retaining the spectral efficiency constant, the transmitted power is power by half and by doubling the number of BS antenna arrays, the radiated energy efficiency can be doubled for fixed number of users. This phenomenon is useful for reducing propagation problems as the doubling of BS antenna arrays for restricted users can improve the channel yield.