NDLI: Capacity analysis of interlaced clustering in a distributed antenna system

Content Provider	IEEE Xplore Digital Library
Author	Ratnam, V.V. Caire, G. Molisch, A.F.
Copyright Year	2015
Description	Author affiliation: Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA (Ratnam, V.V.; Caire, G.; Molisch, A.F.)
Abstract	Low signal strength and high interference lead to significantly reduced data-rates at the cell edge. With rising demand for spectrum and systems moving closer to universal frequency reuse, the problem has become more pronounced. Techniques like Fractional Frequency Reuse boost the edgeuser performance at the cost of the spectral efficiency and are therefore sub-optimal. In this paper we investigate interlaced clustering as a solution to the edge user problem for a general distributed cellular transmission system, and explore a multicell Distributed Antenna System as a particular example. In interlaced clustering, different parts of the spectrum use coverage patterns that are spatially shifted (by less than a cell size) replicas of each other. An information theoretic analysis is presented to characterize the proportional fairness boundary point of the achievable rate region. In the process, the joint resource allocation problem is formulated and shown to be convex. As opposed to using interior point methods which are relatively slower, the current paper proposes a novel gradient-search algorithm to solve the resource allocation problem. It is demonstrated that fractional frequency reuse can in fact be represented as a special (albeit sub-optimal) case of interlaced clustering. Simulation results show that interlaced clustering can boost the edge-user rates by a factor of 2 with negligible degradation of rates in the cell interior. Results also show that interlaced clustering outperforms the edge-user rates achieved with fractional frequency reuse by a factor of 1.5. The theoretical results are validated by comparing performance to a practical proportional fairness scheduler.
Starting Page	1727
Ending Page	1732
File Size	833932
Page Count	6
File Format	PDF
e-ISBN	9781467364324
DOI	10.1109/ICC.2015.7248574
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-08
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer architecture Microprocessors Layout Interference Resource management Antennas Fading
Content Type	Text
Resource Type	Article

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