Control and data channel resource allocation in OFDMA heterogeneous networks

Saeed, A., Katranaras, E., Dianati, M. and Imran, M. A. (2016) Control and data channel resource allocation in OFDMA heterogeneous networks. Journal of Signal Processing Systems, 85(2), pp. 183-199. (doi:10.1007/s11265-015-1041-1)

132747.pdf - Accepted Version



This paper investigates the downlink resource allocation problem in Orthogonal Frequency Division Multiple Access (OFDMA) Heterogeneous Networks (HetNets) consisting of macro cells and small cells sharing the same frequency band. Dense deployment of small cells overlaid by a macro layer is considered to be one of the most promising solutions for providing hotspot coverage in future 5G networks. The focus is to devise an optimised policy for small cells’ access to the shared spectrum, in terms of their transmissions, in order to keep small cell served users sum data rate at high levels while ensuring that certain level of quality of service (QoS) for the macro cell users in the vicinity of small cells is provided. Both data and control channel constraints are considered, to ensure that not only the macro cell users’ data rate demands are met, but also a certain level of Bit Error Rate (BER) is ensured for the control channel information. Control channel reliability is especially important as it holds key information to successfully decode the data channel. The problem is addressed by our proposed linear binary integer programming heuristic algorithm which maximises the small cells utility while ensuring the macro users imposed constraints. To further reduce the computational complexity, we propose a progressive interference aware low complexity heuristic solution. Discussion is also presented for the implementation possibility of our proposed algorithms in a practical network. The performance of both the proposed algorithms is compared with the conventional Reuse-1 scheme under different fading conditions and small cell loads. Results show a negligible drop in small cell performance for our proposed schemes, as a trade-off for ensuring all macro users data rate demands, while Reuse-1 scheme can even lead up to 40 % outage when control region of the small cells in heavily loaded.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad
Authors: Saeed, A., Katranaras, E., Dianati, M., and Imran, M. A.
College/School:College of Science and Engineering > School of Engineering
Journal Name:Journal of Signal Processing Systems
ISSN (Online):1939-8115
Published Online:23 September 2015
Copyright Holders:Copyright © 2015 Springer Science+Business Media
First Published:First published in Journal of Signal Processing Systems 85(2): 183-199
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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