Efficiently computable bounds on the rates achieved by a cross layer design with binary scheduling in generic OFDMA wireless networks | IEEE Conference Publication | IEEE Xplore

Efficiently computable bounds on the rates achieved by a cross layer design with binary scheduling in generic OFDMA wireless networks


Abstract:

Future broadband communication networks are expected to be OFDMA-based with generic ad hoc topologies, wherein the wireless nodes play multiple roles, including transmiss...Show More

Abstract:

Future broadband communication networks are expected to be OFDMA-based with generic ad hoc topologies, wherein the wireless nodes play multiple roles, including transmission, reception and relaying. When the schedules by which the OFDMA subchannels are assigned to wireless links are binary, obtaining a characterization of the maximum rates that can be reliably communicated by these networks can be shown to be NP-hard. To circumvent this difficulty, we provide efficient means for computing two lower bounds on the achievable weighted sum rates. The first bound is obtained by using geometric programming approximation techniques, whereas the second bound is obtained by rounding the solutions of a relaxed version of the cross layer design problem. Finally, we consider an existing upper bound on the achievable weighted sum rates, and we use numerical simulations to show that the lower and upper bounds are relatively tight, especially at high signal-to-noise ratios.
Date of Conference: 03-07 December 2012
Date Added to IEEE Xplore: 14 March 2013
ISBN Information:
Print ISSN: 2166-0077
Conference Location: Anaheim, CA, USA

I. Introduction

To meet the prospective increase in demands on the high data rate services delivered by future broadband communication networks, it is expected that the wireless terminals in these networks will perform multiple tasks, which include transmitting, receiving and relaying data to other nodes [1]. As such, future communication networks are expected to be less structured and more responsive to instantaneous demands. A generic model that captures the dynamic topology of these networks is the ad hoc one [2]. This model provides a flexible representation of various communication network structures, including current cellular ones and sensor networks.

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References

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