Abstract
In this paper, we address the problem of optimally placing relay nodes in a cellular network with the aim of maximizing cell capacity. In order to accurately model interference, we use a dynamic framework, in which users arrive at random time instants and locations, download a file and leave the system. A fixed point equation is solved to account for the interactions between stations. We also propose an extension of a fluid model to relay based cellular networks. This allows us to obtain quick approximations of the Signal to Interference plus Noise Ratio (SINR) that are very close to 3GPP LTE-A guideline results in terms of SINR distribution. We then use these formulas to develop a dedicated Simulated Annealing (SA) algorithm, which adapts dynamically the temperature to energy variations and uses a combination of coarse and fine grids to accelerate the search for an optimized solution. Simulations results are provided for both in-band and out-of-band relays. They show how relays should be placed in a cell in order to increase the capacity in case of uniform and non-uniform traffic. The crucial impact of the backhaul link is analyzed for in-band relays. Insights are given on the influence of shadowing.
| Original language | English |
|---|---|
| Article number | 6702841 |
| Pages (from-to) | 998-1009 |
| Number of pages | 12 |
| Journal | IEEE Transactions on Wireless Communications |
| Volume | 13 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1 Jan 2014 |
| Externally published | Yes |
Keywords
- Cellular network
- fluid model
- optimal placement
- processor sharing
- relay
- simulated annealing
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