Projects per year
In this paper, we consider a wireless powered backscatter communication (WPBC) network in which a full-duplex access point (AP) simultaneously transmits information and energy signals by injecting artificial noise (AN) to secure the backscatter transmission from multiple backscatter devices (BDs). To maximize the minimum throughput and ensure fairness and security, we formulate an optimization problem by jointly considering the power splitting ratio between dedicated information signals and AN, backscatter time and signal power allocation among multiple BDs. For a single BD network, we obtain a closed-form solution and evaluate its validity through proof-of-concept experiments. For the general case with multiple BDs, we present an iterative algorithm by leveraging block coordinate descent (BCD) and successive convex approximation optimization to solve a non-convex problem incurred in WPBC. We further show the convergence of the proposed algorithm and analyze its complexity. Finally, extensive simulation results show that the proposed algorithm achieves an optimal and equitable throughput for all BDs, and our work provides a good perspective of resource allocation to improve the performance of WPBC networks.
|Title of host publication||INFOCOM 2019 - IEEE Conference on Computer Communications|
|Number of pages||9|
|Publication status||Published - 1 Apr 2019|
|MoE publication type||A4 Article in a conference publication|
|Event||IEEE Conference on Computer Communications - Paris, France|
Duration: 29 Apr 2019 → 2 May 2019
Conference number: 38
|Name||Proceedings - IEEE INFOCOM|
|Conference||IEEE Conference on Computer Communications|
|Period||29/04/2019 → 02/05/2019|
FingerprintDive into the research topics of 'Optimal Resource Allocation for Secure Multi-User Wireless Powered Backscatter Communication with Artificial Noise'. Together they form a unique fingerprint.
- 1 Active