Abstract

We demonstrate an analytical model for calculating the saturation throughput performance of a medium transparent medium access control (MAC) protocol in 60 GHz radio-over-fiber (RoF) networks. The proposed model incorporates effectively the medium transparent MAC mechanism, assuming a finite number of terminals and ideal channel conditions. It takes into account contention both at the optical and wireless layer, ensuring seamless and dynamic capacity allocation over both transmission media. This model enables extensive saturation throughput performance analysis for the medium transparent MAC and has been applied to 60 GHz RoF network scenarios considering variable numbers of available optical wavelengths, wireless nodes and serving antenna elements and for two different data rate values, namely 155 Mbps and 1 Gbps. Comparison between the model-based throughput results and respective simulation-based outcomes reveals that our model is extremely accurate in predicting the system throughput. Moreover, it confirms that the proposed medium transparent MAC protocol can effectively operate in high-speed 60 GHz RoF LAN environments.

© 2011 IEEE

Client-Weighted Medium-Transparent MAC Protocol for User-Centric Fairness in 60  GHz Radio-Over-Fiber WLANs

G. Kalfas, P. Maniotis, S. Markou, D. Tsiokos, N. Pleros, L. Alonso, and C. Verikoukis
J. Opt. Commun. Netw. 6(1) 33-44 (2014)

Network Planning for 802.11ad and MT-MAC 60  GHz Fiber-Wireless Gigabit Wireless Local Area Networks Over Passive Optical Networks

G. Kalfas, N. Pleros, L. Alonso, and C. Verikoukis
J. Opt. Commun. Netw. 8(4) 206-220 (2016)

Multichannel Resource Allocation Mechanism for 60 GHz Radio-Over-Fiber Local Access Networks

Zhuangzhuang Xu, Hongxiang Wang, and Yuefeng Ji
J. Opt. Commun. Netw. 5(3) 254-260 (2013)

Architectures and Algorithms for Radio-Over-Fiber Networks

Abhishek Dixit
J. Opt. Commun. Netw. 10(5) 535-544 (2018)

Research on the lossless contention MAC protocol and the performance of an ultraviolet communication network

Cheng Li, Jianhua Li, Zhiyong Xu, and Jingyuan Wang
Opt. Express 29(20) 31952-31962 (2021)