Entanglement-Based Competition Resolution in Distributed Systems

Accessing scarce resources in distributed systems where entities are not centrally coordinated, whether roebucks are fighting for a doe or WiFi users are competing for a common radio channel, is associated with moderate efficiency and proves to be a challenging problem. In this study, we present our hypothesis on shared entanglement and how such a process can improve resource access in macroscopically distributed systems. Furthermore, the required entangled states can be established in a distributed manner.

[1]  Rob Thew,et al.  Provably secure and practical quantum key distribution over 307 km of optical fibre , 2014, Nature Photonics.

[2]  Norman M. Abramson,et al.  THE ALOHA SYSTEM: another alternative for computer communications , 1899, AFIPS '70 (Fall).

[3]  Lajos Hanzo,et al.  The Road From Classical to Quantum Codes: A Hashing Bound Approaching Design Procedure , 2015, IEEE Access.

[4]  Lawrence G. Roberts,et al.  ALOHA packet system with and without slots and capture , 1975, CCRV.

[5]  Li Xiao,et al.  The Evolution of MAC Protocols in Wireless Sensor Networks: A Survey , 2013, IEEE Communications Surveys & Tutorials.

[6]  Bernhard Walke,et al.  IEEE 802.11 Wireless Local Area Networks , 2006 .

[7]  Richard T. B. Ma,et al.  An Analysis of Generalized Slotted-Aloha Protocols , 2009, IEEE/ACM Transactions on Networking.

[8]  Weihua Zhuang,et al.  A Survey on High Efficiency Wireless Local Area Networks: Next Generation WiFi , 2016, IEEE Communications Surveys & Tutorials.

[9]  Laszlo Gyongyosi,et al.  Quantum circuit‐based modeling of continuous‐variable quantum key distribution system , 2017, Int. J. Circuit Theory Appl..

[10]  Murali Tummala,et al.  Performance analysis of slotted ALOHA with periodic server vacations for energy-efficient medium access , 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.

[11]  Eleni Diamanti,et al.  Experimental demonstration of long-distance continuous-variable quantum key distribution , 2012, Nature Photonics.

[12]  S. Imre,et al.  Modeling Medium Access Control (MAC) by Quantum Methods , 2006, 2006 International Conference on Intelligent Engineering Systems.

[13]  Niansheng Liu,et al.  Performance analysis of MAC layer for LTE networks , 2017, 2017 11th IEEE International Conference on Anti-counterfeiting, Security, and Identification (ASID).

[14]  Lajos Hanzo,et al.  EXIT-Chart Aided Quantum Code Design Improves the Normalised Throughput of Realistic Quantum Devices , 2016, IEEE Access.

[15]  Lajos Hanzo,et al.  Towards the Quantum Internet: Generalised Quantum Network Coding for Large-Scale Quantum Communication Networks , 2017, IEEE Access.

[16]  Sandor Imre,et al.  Quantum Computing and Communications: An Engineering Approach , 2005 .

[17]  Weilian Su,et al.  MAC sub-layer design to reduce interference in LTE networks , 2017, 2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC).

[18]  Prasant Mohapatra,et al.  Medium access control in wireless sensor networks , 2007, Comput. Networks.