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Control and data channel resource allocation in OFDMA heterogeneous networks
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Saeed, Arsalan, Katranaras, Efstathios, Dianati, Mehrdad and Imran, Muhammad Ali (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 ISSN 1939-8018.
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Official URL: http://dx.doi.org/10.1007/s11265-015-1041-1
Abstract
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: | Journal Article | ||||||||
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||
Journal or Publication Title: | Journal of Signal Processing Systems | ||||||||
Publisher: | Springer New York LLC | ||||||||
ISSN: | 1939-8018 | ||||||||
Official Date: | November 2016 | ||||||||
Dates: |
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Volume: | 85 | ||||||||
Number: | 2 | ||||||||
Page Range: | pp. 183-199 | ||||||||
DOI: | 10.1007/s11265-015-1041-1 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
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