Math @ Duke

Publications [#335324] of Robert Calderbank
Papers Published
 Michelusi, N; Nokleby, M; Mitra, U; Calderbank, R, Multiscale spectrum sensing in smallcell mmwave cognitive wireless networks,
Ieee International Conference on Communications
(July, 2017), IEEE, ISBN 9781467389990 [doi]
(last updated on 2019/04/25)
Abstract: © 2017 IEEE. In this paper, a multiscale approach to spectrum sensing in cognitive cellular networks is proposed. In order to overcome the huge cost incurred in the acquisition of full network state information, a hierarchical scheme is proposed, based on which local state estimates are aggregated up the hierarchy to obtain aggregate state information at multiple scales, which are then sent back to each cell for local decision making. Thus, each cell obtains finegrained estimates of the channel occupancies of nearby cells, but coarsegrained estimates of those of distant cells. The performance of the aggregation scheme is studied in terms of the tradeoff between the throughput achievable by secondary users and the interference generated by the activity of these secondary users to primary users. In order to account for the irregular structure of interference patterns arising from path loss, shadowing, and blockages, which are especially relevant in millimeter wave networks, a greedy algorithm is proposed to find a multiscale aggregation tree to optimize the performance. It is shown numerically that this tailored hierarchy outperforms a regular tree construction by 60%.


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