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Proceedings ArticleDOI

Inter-cell interference mitigation for cell edge users

TLDR
Analysis of the Minimum mean square error (MMSE) has been done and it has been observed how the detector not only recuperates the diversity(the maximum number of independent copies of the transmitted signal in a particular communication system) order lost by MMSE but also exhibits a coding gain as the interference gets stronger.
Abstract
In this paper, the focus is on the cell edge users of a cellular system. This is because in order to maximize the system throughput, the communication systems employ very tight frequency reuse. This leads to interference limited systems where the interference is highest at the cell edges. The key ingredients of such networks are the receivers that are able to exploit the structure of the interference instead of nullifying or attenuating it. One such interference suppression strategy based on a low complexity matched filter (MF) based receiver has been proposed. The matched filter is the optimal linear filter for maximizing the signal to noise ratio (SNR) in the presence of additive stochastic noise. Normally all the interferences are assumed to be Gaussian and are merged with noise, but with the proposed receiver exploitation of the structure of the existing dominant interference while detection occurs is made possible. Analysis of the Minimum mean square error (MMSE) has been done and it has been observed how the detector not only recuperates the diversity(the maximum number of independent copies of the transmitted signal in a particular communication system) order lost by MMSE but also exhibits a coding gain as the interference gets stronger.

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Citations
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Journal ArticleDOI

A Survey on Inter-Cell Interference Coordination Techniques in OFDMA-Based Cellular Networks

TL;DR: This paper surveys the various ICIC avoidance schemes in the downlink of OFDMA-based cellular networks and introduces new parameterized classifications and makes use of these classifications to categorize and review various static and dynamic ICIC schemes.
Dissertation

Advanced interference alignment techniques for cellular communication networks

TL;DR: In this article, the authors proposed a method to improve the accuracy of 6.8×6.8.0.0% and 6.5×5.8% respectively.
References
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Journal ArticleDOI

The impact of antenna diversity on the capacity of wireless communication systems

TL;DR: In this paper, the authors show that a significant increase in system capacity can be achieved by the use of spatial diversity (multiple antennas), and optimum combining, for a broad class of interference-dominated wireless systems including mobile, personal communications, and wireless PBX/LAN networks.
Journal ArticleDOI

On the Capacity of Radio Communication Systems with Diversity in a Rayleigh Fading Environment

TL;DR: Results show that with optimum linear processing at the receiver, up to M/2 channels can be established with approximately the same maximum data rate as a single channel with the potential for large capacity in systems with limited bandwidth.

The impact of antenna diversity on the capacity of wireless communication systems

TL;DR: For a broad class of interference-dominated wireless systems including mobile, personal communications, and wireless PBX/LAN networks, the authors show that a significant increase in system capacity can be achieved by the use of spatial diversity (multiple antennas), and optimum combining.
Journal ArticleDOI

Overcoming interference in spatial multiplexing MIMO cellular networks

TL;DR: It is argued that many of the traditional interference management techniques have limited usefulness when viewed in concert with MIMO, and emerging system-level interference-reducing strategies based on cooperation will be important for overcoming interference in future spatial multiplexing cellular systems.
Journal ArticleDOI

Downlink capacity of interference-limited MIMO systems with joint detection

TL;DR: An adaptive detection scheme is developed, which together with a Turbo ST MUD structure offers substantial performance gain over the well-known V-BLAST techniques with coding in this interference-limited cellular environment.
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