Symbiotic Ambient Backscatter Systems: Outage Behavior and Ergodic Capacity

Haiyang Ding, Mohamed-Slim Alouini, Kewei Xin, Haipeng Li, Shengzhi Xu

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

This paper investigates a symbiotic ambient backscatter communication (AmBC) system, where for the primary system, a source node T1 transmits information to a destination node T2. Whereas for the backscatter system, by riding on T1’s signal, backscatter device passively conveys its own information c(n) to T1 and T2 via backscattering. For such, the coexistence outage probability (COP) and ergodic capacity (EC) of the AmBC system are characterized for three cases of coexistence constraints, i.e., (i) both T1 and T2 decode c(n) (Case I), (ii) only T2 decodes c(n) (Case II), and (iii) only T1 decodes c(n) (Case III). It is analytically shown that for sufficiently high transmit signal-to-noise ratio (SNR), the COP obeys the scaling law of 1Ps (with Ps denoting T1’s transmit power) for Cases I and III, whereas its scaling law is determined by log(Ps)Ps as well as 1Ps for Case II. In addition, it is shown that the restriction condition of decoding c(n) at T1 results in a dominating term 1Ps for the COP at high SNR, whereas the restriction condition of decoding c(n) at T2 results in an infinitesimal relative to 1Ps. It is also shown that for different cases, the effects of the T1-T2 channel statistics on the COP are significantly different. However, unlike the metric of COP, for the EC, the impacts of decoding constraints of c(n) gradually disappear at high SNR and the ECs of the backscatter channels for Cases II and III approach respectively toward the counterpart for Case I.
Original languageEnglish (US)
Pages (from-to)1-1
Number of pages1
JournalIEEE Internet of Things Journal
DOIs
StatePublished - Jul 5 2022

Bibliographical note

KAUST Repository Item: Exported on 2022-09-14
Acknowledgements: This work was supported in part by the National Key R&D Program of China under Grant 2018YFE0100500, in part by the National Natural Science Foundation of China under Grant 61871387, in part by the NUDT Research Fund under Grant ZK20-21, and in part by the Natural Science Basic Research Program of Shaanxi under Grant 2021JQ-378.

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