Performance Analysis of Large Intelligent Surface Aided Backscatter Communication Systems

Employing backscatter communication is a promising solution for Internet of Things (IoT). The novel large intelligent surface (LIS) concept can achieve reliable communication by establishing line-of-sight like channels. This letter thus considers an LIS-aided backscatter system to support high-reliable communications for IoT applications. In this letter, the symbol error probability (SEP) for both intelligent and random phase adjustments at the LIS reflectors is analytically investigated. In particular, we calculate the SEP based on the moment generating function approach and also provide tight SEP upper bounds for either fully correlated or mutually independent channels. Insightful observations of SEP outcomes reveal that having a large number of reflective elements on the LIS has a significantly positive impact on the SEP performance where high reliability can be achieved in moderate signal-to-noise.

[1]  Ahmed Alkhateeb,et al.  Enabling Large Intelligent Surfaces With Compressive Sensing and Deep Learning , 2019, IEEE Access.

[2]  Fredrik Rusek,et al.  Beyond Massive MIMO: The Potential of Data Transmission With Large Intelligent Surfaces , 2017, IEEE Transactions on Signal Processing.

[3]  Ertugrul Basar,et al.  Transmission Through Large Intelligent Surfaces: A New Frontier in Wireless Communications , 2019, 2019 European Conference on Networks and Communications (EuCNC).

[4]  Mohamed-Slim Alouini,et al.  Digital Communication Over Fading Channels: A Unified Approach to Performance Analysis , 2000 .

[5]  Ying-Chang Liang,et al.  Channel Estimation for Ambient Backscatter Communication Systems With Massive-Antenna Reader , 2019, IEEE Transactions on Vehicular Technology.

[6]  Guan Gui,et al.  Relay Cooperation Enhanced Backscatter Communication for Internet-of-Things , 2019, IEEE Internet of Things Journal.

[7]  Mohamed-Slim Alouini,et al.  Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come , 2019, EURASIP Journal on Wireless Communications and Networking.

[8]  Qingqing Wu,et al.  Intelligent Reflecting Surface Enhanced Wireless Network: Joint Active and Passive Beamforming Design , 2018, 2018 IEEE Global Communications Conference (GLOBECOM).

[9]  Chau Yuen,et al.  Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication , 2018, IEEE Transactions on Wireless Communications.

[10]  Shlomo Shamai,et al.  Reconfigurable Intelligent Surfaces vs. Relaying: Differences, Similarities, and Performance Comparison , 2019, IEEE Open Journal of the Communications Society.

[11]  Fredrik Rusek,et al.  User Assignment with Distributed Large Intelligent Surface (LIS) Systems , 2017, 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).

[12]  Ian F. Akyildiz,et al.  A New Wireless Communication Paradigm through Software-Controlled Metasurfaces , 2018, IEEE Communications Magazine.

[13]  M. Simon Probability distributions involving Gaussian random variables : a handbook for engineers and scientists , 2002 .

[14]  Mohamed-Slim Alouini,et al.  On the Low SNR Capacity of MIMO Fading Channels With Imperfect Channel State Information , 2014, IEEE Transactions on Communications.

[15]  Mohamed-Slim Alouini,et al.  Wireless Communications Through Reconfigurable Intelligent Surfaces , 2019, IEEE Access.

[16]  Daniel M. Dobkin,et al.  The RF in RFID: Passive UHF RFID in Practice , 2007 .

[17]  Mohamed-Slim Alouini,et al.  Smart Radio Environments Empowered by AI Reconfigurable Meta-Surfaces: An Idea Whose Time Has Come , 2019, ArXiv.

[18]  G.D. Durgin,et al.  Gains For RF Tags Using Multiple Antennas , 2008, IEEE Transactions on Antennas and Propagation.

[19]  Athanasios V. Vasilakos,et al.  Managing RFID Data: Challenges, Opportunities and Solutions , 2014, IEEE Communications Surveys & Tutorials.

[20]  Saman Atapattu,et al.  Ambient Backscatter Communication Systems: Capacity and Outage Performance Analysis , 2018, IEEE Access.