Study and Capacity Evaluation of SISO, MISO and MIMO RF Wireless Communication Systems

Abstract

The wireless communication systems has gone from different generations from SISO systems to MIMO systems. Bandwidth is one important constraint in wireless communication. In wireless communication, high data transmission rates are essential for the services like tripple play i.e. data, voice and video. At user end the capacity determines the quality of the communication systems. This paper aims to compare the different RF wireless communication systems like SISO, MISO, SIMO and MIMO systems on the capacity basis and explaining the concept as today, the wireless communication has evolved from 2G, 3G to 4G and the companies are fighting to create networks with more and more capacity so that data rates can be increased and customers can be benefitted more. The ultimate goal of wireless communication systems is to create a global personal and multimedia communication without any capacity issues.

Application of Game Theory to Optimize Wireless System Resource Allocation

“…Since the rank of is equal to , there is only one signal received in the equivalent MIMO channel model, with the following power: (7) Thus, by applying the formula, we obtain for this channel configuration the expression of the capacity in the coherent case:…”

“…These are communication systems with multiple antennas both on transmission and reception. These systems are preceded by single antenna systems known under the terminology "point to point" or SISO (Single Input Single Output) and systems with antenna diversity reception only or SIMO (Single In Multiple Out) and systems having a diversity transmit only called MISO (Multiple Input Single Output) [7]. The particularity of MIMO systems is the association with time of the space parameter in the systematic establishment of the communication.…”

Design, Analysis of 4×4 and 8×8 MIMO System with ZF, MMSE and BF Techniques

“…A comparative study of different linear pre-coding schemes like BF and Regularized Zero Forcing (RZF) for TDD downlink Massive-MIMO gives results for path loss, channel estimation, pilot contamination and arbitrary antenna correlation which suggest that RZF, which is relatively a simple pre-coding scheme, gives the same performance with a much smaller number of antennas per user terminal (UT) as compared to the BF which is complex to calculate [3]. An energy efficient Massive-MIMO system can be designed for high SNR values using interference-suppressing pre-coding schemes like ZeroForcing (ZF) pre-coding [4,5]. Zero-Forcing (ZF) equalization is in practice very close to the channel capacity of downlink and uplink of a Massive-MIMO for pre-coding and detection.…”

Capacity comparison of MIMO and cooperative MIMO

“…In [3][4][5][6][7][8] the gain of cooperative MIMO capacity will be analyse. This paper studies about multiple antenna terminals by Cooperative MIMO systems.In MIMO system due to presence of more number of antennas, so if one path will be facing fading there will be other path which have not facing fading [9][10][11][12][13]. The capacity can be calculated between MIMO and cooperative MIMO keeping same antenna numbers.…”