Title
Sum Rate Maximization of Full-Duplex MIMO Monostatic Backscatter Networks Under Residual Self-Interference
Abstract
Backscatter communication (BCS) devices have low cost, low power, and the ability to harvest energy, enabling ultra-green Internet of things (IoT) networks with energy autonomy. However, they achieve only low data rates and a limited communication range. A monostatic backscatter (MBS) network of multiple tags with a full-duplex (FD) multiple-input multiple-output (MIMO) reader is subject to self-interference (SI), which exacerbates the aforementioned problems. Since SI cannot be removed ideally, the residual SI (RSI) degrades the system performance. Thus, the main goal of this study is to correct this problem. To this end, we formulate the maximization of the sum rate by optimizing the precoder and combiner filters of the reader and the reflection coefficients of the tags. The constraints are to limit the effects of the RSI and allow the energy harvested by the tags to exceed a minimum. Because the problem is nonconvex, we utilize alternating optimization (AO) to split it into three subproblems and develop iterative algorithms. The simulation results validate and quantify the achievable sum rate.
Year
DOI
Venue
2022
10.1109/CWIT55308.2022.9817679
2022 17th Canadian Workshop on Information Theory (CWIT)
Keywords
DocType
ISBN
Backscatter communication (BSC),residual self-interference (RSI),energy harvesting (EH),full-duplex (FD)
Conference
978-1-6654-9909-5
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Azar Hakimi100.34
Shayan Zargari200.34
C. Tellambura34889374.02
Sanjeewa Herath400.34