Secure user-centric clustering for energy efficient ultra dense networks: design and optimization

Abstract

With an unprecedented amount of sensitive private data generated by mobile user equipment (UE), securing the emerging ultra dense networks (UDNs) becomes critical. Hence we investigate secure UDNs in the context of user-centric clustering architectures relying on both a dedicated jamming strategy and an embedded jamming strategy. We formulate the secure user-centric clustering design for both strategies both with and without the eavesdropper’s channel state information (CSI) from a secrecy-energy-efficiency perspective. Explicitly, we conceive secure transmission schemes, while guaranteeing both the throughput quality of service (TQoS) and the secrecy quality of service (SQoS). To efficiently solve the underlying NP-hard problem, a set of heuristic greedy algorithms are developed for diverse operating scenarios. Finally, our numerical results reveal the quantitative benefits of the proposed secure user-centric clustering architectures as a function of the network densities (i.e. AP, UE and eavesdropper) and of both the TQoS and the SQoS constraints on the secrecy-energy-efficiency trade-off in different scenarios.

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ORCID for Lajos Hanzo: orcid.org/0000-0002-2636-5214

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