Abstract
Focused research and standardization work in wireless throughput, subscribers will increase day by day. One can prospect that, millions of users in a mega city will want to transmit and receive data, for instance, 100 megabits per second per user. Massive MIMO (Large Scale Antenna Systems) is a new technology which will be used for resolving the mentioned issue. Spectral efficiency improvements over fourth generation (4G) technology are frequently mentioned. Adding more antennas is always beneficial for increased throughput, reduced radiated power, increase the capacity everywhere in the cell and greater simplicity in signal processing. In these days the main problem is RF interference and noise which can be generated by almost any device that produces an electro-magnetic signal, such as cordless phones to Bluetooth headsets, microwave ovens, repeaters and even smart phones, which is caused call drop and bad quality in the network. In this article, the Signal-to-interference-plus-noise ratio (SINR) and the value of mean capacity in the Non-cooperative cellular wireless have been increased by using infinite number of base station antennas. While employing advanced features, this is illustrated by network densification, Multi-cell Multi-User MIMO and inter cell interference mitigation techniques. The propagation model is not clear for both terminals and base stations which is calculated taking in to consideration path loss, specular reflection, environment models, earth’s elevation, fast fading, log-normal shadowing fading and geometric attenuation. The conjugate transpose of the channel estimation is used for forward and reverse precoding. Numerical results show that, by using unlimited number of antennas in the base station, the inter-cell interference, the effect of uncorrelated noise and fast fading have been vanished, although the inter-cell interference that caused by reuse of the pilot sequence in other cells does not disappear. And also average capacity improves with increment of base station antennas. In this study, MATLAB based simulation tool has been developed to calculate the SIR and also the mean capacity.
Highlights
Multiple-output and Multiple-input (MIMO) is a technology which is used multiple antenna at the receiver and transmitter
MIMO has been used in the hot topics of wireless communications for instance, IEEE 802.11n, IEEE 802.11ac, HSPA+, WiMAX, and LTE
For improving the data rate, a new MIMO design for molecular communication is proposed that develops multiple molecular emitters at the transmitter and multiple molecular detectors at the receiver [8]
Summary
Multiple-output and Multiple-input (MIMO) is a technology which is used multiple antenna at the receiver and transmitter. MIMO has been used in the hot topics of wireless communications for instance, IEEE 802.11n, IEEE 802.11ac, HSPA+, WiMAX, and LTE. Due to their impressive performance to bandwidth efficiency, one of the main mechanisms of future wireless communication systems are MIMO [2]. For improving the data rate, a new MIMO design for molecular communication is proposed that develops multiple molecular emitters at the transmitter and multiple molecular detectors at the receiver [8]. The profits of MIMO systems have been widely approved and widely considered in recent years, due to the performance gains over single-input-single-output (SISO) systems. One popular application of MIMO techniques is to employ spatial multiplexing to improve the system capacity by sending parallel data streams across multiple transmit antennas [9]
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