Energy-Aware Adaptive Spectrum Access and Power Allocation in LAA Networks via Lyapunov Optimization

To relieve the traffic burden and improve the system capacity, licensed-assisted access (LAA) has been becoming a promising technology to the supplementary utilization of the unlicensed spectrum. However, due to the densification of small base stations (SBSs) and the dynamic variety of the number of Wi-Fi nodes in the overlapping areas, the licensed channel interference and the unlicensed channel collision could seriously influence the Quality of Service (QoS) and the energy consumption. In this paper, jointly considering time-variant wireless channel conditions, dynamic traffic loads, and random numbers of Wi-Fi nodes, we address an adaptive spectrum access and power allocation problem that enables minimizing the system power consumption under a certain queue stability constraint in the LAA-enabled SBSs and Wi-Fi networks. The complex stochastic optimization problem is rewritten as the difference of two convex (D.C.) program in the framework of Lyapunov optimization, thus developing an online energy-aware optimal algorithm. We also characterize the performance bounds of the proposed algorithm with a tradeoff of [O(1/V), O(V)] between power consumption and delay theoretically. The numerical results verify the tradeoff and show that our scheme can reduce the power consumption over the existing scheme by up to 72.1% under the same traffic delay.

[1]  Geoffrey Ye Li,et al.  LBT-Based Adaptive Channel Access for LTE-U Systems , 2016, IEEE Transactions on Wireless Communications.

[2]  Qiang Ni,et al.  5G Communications Race: Pursuit of More Capacity Triggers LTE in Unlicensed Band , 2015, IEEE Vehicular Technology Magazine.

[3]  Geoffrey Ye Li,et al.  Energy Efficiency Optimization in Licensed-Assisted Access , 2016, IEEE Journal on Selected Areas in Communications.

[4]  Xiaoli Chu,et al.  Coexistence of Wi-Fi and heterogeneous small cell networks sharing unlicensed spectrum , 2015, IEEE Communications Magazine.

[5]  Eitan Altman,et al.  New Insights From a Fixed-Point Analysis of Single Cell IEEE 802.11 WLANs , 2007, IEEE/ACM Transactions on Networking.

[6]  Ren Ping Liu,et al.  A unified protocol stack solution for LTE and WLAN in future mobile converged networks , 2014, IEEE Wireless Communications.

[7]  Wei Ni,et al.  Energy-Efficient Two-Way Relaying Under Non-ideal Power Amplifiers , 2017, IEEE Transactions on Vehicular Technology.

[8]  Man Hon Cheung,et al.  Power-Delay Tradeoff With Predictive Scheduling in Integrated Cellular and Wi-Fi Networks , 2015, IEEE Journal on Selected Areas in Communications.

[9]  Sayantan Choudhury,et al.  Enabling LTE/WiFi coexistence by LTE blank subframe allocation , 2013, 2013 IEEE International Conference on Communications (ICC).

[10]  Amitava Ghosh,et al.  LTE in unlicensed spectrum using licensed-assisted access , 2014, 2014 IEEE Globecom Workshops (GC Wkshps).

[11]  Hui Wang,et al.  Capacity Analysis of Joint Transmission CoMP With Adaptive Modulation , 2017, IEEE Transactions on Vehicular Technology.

[12]  Harmonized European,et al.  Broadband Radio Access Networks ( BRAN ) ; 5 GHz high performance RLAN , 2022 .

[13]  Geoffrey Ye Li,et al.  A Framework for Co-Channel Interference and Collision Probability Tradeoff in LTE Licensed-Assisted Access Networks , 2016, IEEE Transactions on Wireless Communications.

[14]  Ha H. Nguyen,et al.  Joint Optimization of Cooperative Beamforming and Relay Assignment in Multi-User Wireless Relay Networks , 2014, IEEE Transactions on Wireless Communications.

[15]  J. Nicholas Laneman,et al.  Wideband distributed spectrum sharing with multichannel immediate multiple access , 2017, ArXiv.

[16]  Yan Shi,et al.  Energy-Efficient Transmission in Heterogeneous Wireless Networks: A Delay-Aware Approach , 2016, IEEE Transactions on Vehicular Technology.

[17]  Ismail Güvenç,et al.  Reinforcement learning for licensed-assisted access of LTE in the unlicensed spectrum , 2015, 2015 IEEE Wireless Communications and Networking Conference (WCNC).