DocumentCode
3481528
Title
Multi-antenna channel capacity enhancement in wireless communication
Author
Nigus, Haftu Reda ; Ki-Hyung Kim ; Dongyeop Hwang ; Hussen, Hassen Redwan
Author_Institution
Dept. of Comput. Eng., Ajou Univ., Suwon, South Korea
fYear
2015
fDate
7-10 July 2015
Firstpage
77
Lastpage
82
Abstract
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.
Keywords
AWGN channels; Monte Carlo methods; antenna arrays; channel capacity; diversity reception; matrix decomposition; radio links; receiving antennas; space division multiplexing; transmitting antennas; wireless channels; CSI; Monte Carlo simulation mechanism; additive white gaussian noise subchannel; channel matrix decomposition; channel matrix factorization; channel state information; correlation minimization; diversity technique; independent orthogonal AWGN channel; multiantenna channel capacity enhancement; receiving antenna; spatial multiplexing technique; transmitting antenna; wireless communication; Antenna feeds; Matrix decomposition; CSI; Channel Capacity; MIMO; channel matrix rank;
fLanguage
English
Publisher
ieee
Conference_Titel
Ubiquitous and Future Networks (ICUFN), 2015 Seventh International Conference on
Conference_Location
Sapporo
ISSN
2288-0712
Type
conf
DOI
10.1109/ICUFN.2015.7182503
Filename
7182503
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