Conflict Graph Based Concurrent Transmission Scheduling Algorithms for the Next Generation WLAN

Two conflict graph based concurrent transmission scheduling algorithms are proposed in this paper to efficiently solve the spatial TDMA (STDMA) scheduling problem for the next generation WLAN. Firstly, the STDMA scheduling problem for multiple timeslots is formulated as an multiple-step optimization problem. Secondly, a bi-weighted conflict graph is constructed to model the concurrent transmissions’ interference relationships, where the nodes denote the transmission request and the weights of the edges denote the interference level between any two transmission request nodes. If the interference between two transmission nodes is larger than the given interference threshold, then there are no edge between these two nodes. And only the acceptable interferences are modelled as the edges. Finally, a heuristic clique based algorithm (HCBA) and an optimal clique based algorithm (OCBA) are proposed, where HCBA assigns the transmission requests to the multiple timeslots one by one while OCBA assigns the transmission requests to the multiple timeslot once. The performance gap between the optimal one and the suboptimal one is evaluated. Simulation results show that HCBA not only has low complexity but also achieves similar performance comparing to OCBA.

[1]  Jun Zhang,et al.  Concurrent Transmission Based on Distributed Scheduling for Underwater Acoustic Networks , 2019, Sensors.

[2]  Chin-Sean Sum,et al.  Scalable Heuristic STDMA Scheduling Scheme for Practical Multi-Gbps Millimeter-Wave WPAN and WLAN Systems , 2012, IEEE Transactions on Wireless Communications.

[3]  Biplab Sikdar,et al.  Fair Scheduling of Concurrent Transmissions in Directional Antenna Based WPANs/WLANs , 2018, 2018 IEEE International Conference on Communications (ICC).

[4]  Patric R. J. Östergård,et al.  A fast algorithm for the maximum clique problem , 2002, Discret. Appl. Math..

[5]  Xuemin Shen,et al.  STDMA-based scheduling algorithm for concurrent transmissions in directional millimeter wave networks , 2012, 2012 IEEE International Conference on Communications (ICC).

[6]  Lin Cai,et al.  Rate-Adaptive Concurrent Transmission Scheduling Schemes for WPANs With Directional Antennas , 2015, IEEE Transactions on Vehicular Technology.

[7]  Zhongjiang Yan,et al.  Survey on OFDMA based MAC protocols for the next generation WLAN , 2015, 2015 IEEE Wireless Communications and Networking Conference Workshops (WCNCW).

[8]  Xuemin Shen,et al.  Rex: A randomized EXclusive region based scheduling scheme for mmWave WPANs with directional antenna , 2010, IEEE Transactions on Wireless Communications.

[9]  Akihito Taya,et al.  Concurrent Transmission Scheduling for Perceptual Data Sharing in mmWave Vehicular Networks , 2019, IEICE Trans. Inf. Syst..

[10]  Goutam Das,et al.  Energy Efficient Scheduling for Concurrent Transmission in Millimeter Wave WPANs , 2018, IEEE Transactions on Mobile Computing.

[11]  Qian Chen,et al.  Spatial Sharing Algorithm in mmWave WPANs with Interference Sense Beamforming Mechanism , 2013, MILCOM 2013 - 2013 IEEE Military Communications Conference.

[12]  Zhongjiang Yan,et al.  A heuristic clique based STDMA scheduling algorithm for spatial concurrent transmission in mmWave networks , 2015, 2015 IEEE Wireless Communications and Networking Conference (WCNC).

[13]  Yuguang Fang,et al.  IEEE 802.11ay-Based mmWave WLANs: Design Challenges and Solutions , 2018, IEEE Communications Surveys & Tutorials.

[14]  Chin-Sean Sum,et al.  Virtual time-slot allocation scheme for throughput enhancement in a millimeter-wave multi-Gbps WPAN system , 2009, IEEE Journal on Selected Areas in Communications.

[15]  David Pisinger,et al.  Where are the hard knapsack problems? , 2005, Comput. Oper. Res..