Multi-antenna channel capacity enhancement in wireless communication

Multiple antenna systems, such as Multiple Input Multiple Output (MIMO), are an important part of modern wireless communication standards such as IEEE 802.11n (Wi-Fi), 3GPP Long Term Evolution (LTE), WiMAX, HSPA+ and future technologies. Multiple antenna techniques can be either diversity techniques...

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Bibliographic Details
Published in:2015 Seventh International Conference on Ubiquitous and Future Networks pp. 77 - 82
Main Authors: Nigus, Haftu Reda, Ki-Hyung Kim, Dongyeop Hwang, Hussen, Hassen Redwan
Format: Conference Proceeding
Language:English
Published: IEEE 01-07-2015
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Summary:Multiple antenna systems, such as Multiple Input Multiple Output (MIMO), are an important part of modern wireless communication standards such as IEEE 802.11n (Wi-Fi), 3GPP Long Term Evolution (LTE), WiMAX, HSPA+ and future technologies. Multiple antenna techniques can be either diversity techniques or spatial multiplexing techniques. In this paper we have proposed a two-step channel capacity enhancement scheme where the channel capacities of a multiple antenna System can be enhanced by some amount without using additional transmit power or spectral bandwidth. The first step is by decomposing and factoring the channel matrix into independent orthogonal AWGN(Additive White Gaussian Noise) sub channels to minimize correlation among the transmitted streams to facilitate the channel capacity to be the algebraic sum of the independent orthogonal sub channels. The second step is by configuring transmitting and receiving antennas in such a way that the resulting channel matrix would be symmetrical. This can be achieved by exploring CSI (Channel State Information) and antenna configurations at both ends of the link. Finally, we have evaluated the performance of our proposed scheme in Matlab simulation environments using Monte Carlo simulation mechanisms for different scenarios. The simulation results show that a significant channel capacity enhancement can be brought about at the expense of some additional resources and system complexity.
ISSN:2165-8528
DOI:10.1109/ICUFN.2015.7182503