Multi-cell processing for uniform capacity improvement in full spectral reuse system

Virgile Garcia 1 Nikolai Lebedev 1 Jean-Marie Gorce 1
1 SWING - Smart Wireless Networking
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : In this paper, we study the potential of Multi-Cell Processing (MCP), via Base Stations (BSs) coordination , to improve the uniform capacity of a wireless network. MCP is particularly efficient for edge-cell users that experience very low SINR when an intensive spectral reuse is employed. We choose a baseline form of MCP to show that a simple Alamouti-like code can enhance the SINR by accounting the strongest interferer as a useful signal at the receiver. After having introduced the formulation for uniform capacity, we numerically derive the optimal conditions to use MCP. We then validate our approach by simulation and show that this optimal MCP can increase the uniform capacity by up to a factor 2 and 6 compared to Fractional Frequency Reuse (FFR) and simple Reuse1 mode by using an urban micro-cell channel model.
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Communication dans un congrès
COGnitive systems with Interactive Sensors, Nov 2009, Paris, France. 2009
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Virgile Garcia, Nikolai Lebedev, Jean-Marie Gorce. Multi-cell processing for uniform capacity improvement in full spectral reuse system. COGnitive systems with Interactive Sensors, Nov 2009, Paris, France. 2009. 〈inria-00441274〉

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