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Resource allocations in relay‐assisted cellular...
Journal article

Resource allocations in relay‐assisted cellular networks

Abstract

In a relay‐assisted cellular network, the transmission mode (either direct transmission or relaying) and the transmit power of the source and relay nodes affect not only transmission rates of individual links but also the rates of other links sharing the same channel. In this paper, we propose a cross‐layer design that jointly considers the transmission mode/relay node selection (MRS) with power allocation (PA) to optimize the system rate. We first formulate an optimization problem for a cellular system, where the same frequency channel can be reused in different cells. A low complexity heuristic MRS scheme is proposed on the basis of the link and interference conditions of the source and potential relay nodes. Given the transmission mode and relay node (if the relaying mode is chosen) of each link, the transmit power of the source and relay nodes can be solved by geometric programming. This method for MRS and PA can achieve a close‐to‐optimum performance, but implementing the PA requires heavy signalling exchanged among cells. To reduce the signalling overheads, we finally proposed a heuristic and distributed method for MRS and PA inspired by some asymptotic analysis. Numerical results are conducted to demonstrate the rate performance of the proposed methods.Copyright © 2013 John Wiley & Sons, Ltd. The problem of the transmission mode/route selection (MRS) and power allocation (PA) is studied in an interferencelimited relay‐assisted wireless cellular network. A heuristic MRS scheme is designed by considering the link conditions and co‐channel interference. An optimization problem for PA for the given MRS is then solved using the geometric programming method. To reduce the signalling overheads among cells for PA, we accordingly proposed a heuristic and distributed method on the basis of some asymptotic analysis.

Authors

Wu D; Zhu G; Zhao D; Ai B

Journal

Wireless Communications and Mobile Computing, Vol. 15, No. 3, pp. 571–583

Publisher

Wiley

Publication Date

February 25, 2015

DOI

10.1002/wcm.2366

ISSN

1530-8669
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