As an important radio frequency energy harvesting technology, simultaneous wireless information and power transfer (SWIPT) enables the energy-limited equipments continuously harvest radio frequency energy without interruption of communication. For the device-to-device (D2D) communication system underlaying cellular network, we consider the resource allocation problem when D2D receivers use power-splitting technology to decode information and harvest radio frequency energy simultaneously. In order to ensure the high information decoding rate of D2D receivers under high energy harvesting requirement, we propose a one-to-many spectrum multiplexing scheme for D2D communication. In this scheme, D2D devices are allowed to multiplex multiple cellular uplink spectrums for communication, and all user equipments in the network are used as distributed radio frequency energy sources to charge the D2D receivers. In this scenario, the system resource allocation including spectrum matching, power control and power-splitting control is jointly optimized to maximize the sum communication rate of D2D under the condition of ensuring the energy harvesting requirement of D2D receivers and the rate requirement of all communication links. The above optimization problem is a non-convex Mixed-Integer Nonlinear Programming (MINLP) problem, which is difficult to obtain the optimal solution. Therefore, we propose a two-layer resource allocation algorithm based on greedy thought and convex approximation theory. Simulation results show that compared with other resource allocation strategies, the proposed algorithm can significantly improve the sum rate of D2D communication under the premise of meeting the energy and communication rate requirements of user equipments.
YANG Te
,
HONG Peilin
,
LI Runzhou
. Resource allocation for SWIPT-D2D communication underlaying cellular networks[J]. Journal of University of Chinese Academy of Sciences, 2022
, 39(6)
: 845
-852
.
DOI: 10.7523/j.ucas.2021.0003
[1] Wang C X, Haider F, Gao X Q, et al. Cellular architecture and key technologies for 5G wireless communication networks[J]. IEEE Communications Magazine, 2014, 52(2): 122-130.DOI:10.1109/MCOM.2014.6736752.
[2] Li R Z, Hong P L, Xue K P, et al. Energy-efficient resource allocation for high-rate underlay D2D communications with statistical CSI: a one-to-many strategy[J]. IEEE Transactions on Vehicular Technology, 2020, 69(4): 4006-4018.DOI:10.1109/TVT.2020.2973228.
[3] Sawyer N, Smith D B. Flexible resource allocation in device-to-device communications using stackelberg game theory[J]. IEEE Transactions on Communications, 2019, 67(1): 653-667.DOI:10.1109/TCOMM.2018.2873344.
[4] 李维谦, 邱玲. 支持D2D多播的蜂窝网络分簇策略与资源分配[J]. 中国科学院大学学报, 2019, 36(1): 137-143.DOI:10.7523/j.issn.2095-6134.2019.01.019.
[5] Luo Y, Hong P L, Su R L, et al. Resource allocation for energy harvesting-powered D2D communication underlaying cellular networks[J]. IEEE Transactions on Vehicular Technology, 2017, 66(11): 10486-10498.DOI:10.1109/TVT.2017.2727144.
[6] Sakr A H, Hossain E. Cognitive and energy harvesting-based D2D communication in cellular networks: stochastic geometry modeling and analysis[J]. IEEE Transactions on Communications, 2015, 63(5): 1867-1880.DOI:10.1109/TCOMM.2015.2411266.
[7] Liu Y W, Wang L F, Raza Zaidi S A, et al. Secure D2D communication in large-scale cognitive cellular networks: a wireless power transfer model[J]. IEEE Transactions on Communications, 2016, 64(1): 329-342.DOI:10.1109/TCOMM.2015.2498171.
[8] Ponnimbaduge Perera T D, Jayakody D N K, Sharma S K, et al. Simultaneous wireless information and power transfer (SWIPT): recent advances and future challenges[J]. IEEE Communications Surveys & Tutorials, 2018, 20(1): 264-302.DOI:10.1109/COMST.2017.2783901.
[9] Lu X, Wang P, Niyato D, et al. Wireless networks with RF energy harvesting: a contemporary survey[J]. IEEE Communications Surveys & Tutorials, 2015, 17(2): 757-789.DOI:10.1109/COMST.2014.2368999.
[10] Lim D W, Kang J, Kim H M. Adaptive power control for D2D communications in downlink SWIPT networks with partial CSI[J]. IEEE Wireless Communications Letters, 2019, 8(5): 1333-1336.DOI:10.1109/LWC.2019.2916352.
[11] Lim D W, Kang J, Chun C J, et al. Joint transmit power and time-switching control for device-to-device communications in SWIPT cellular networks[J]. IEEE Communications Letters, 2019, 23(2): 322-325.DOI:10.1109/LCOMM.2018.2883432.
[12] Huang J, Xing C C, Guizani M. Power allocation for D2D communications with SWIPT[J]. IEEE Transactions on Wireless Communications, 2020, 19(4): 2308-2320.DOI:10.1109/TWC.2019.2963833.
[13] Huang J, Cui J J, Xing C C, et al. Energy-efficient SWIPT-empowered D2D mode selection[J]. IEEE Transactions on Vehicular Technology, 2020, 69(4): 3903-3915.DOI:10.1109/TVT.2020.2970235.
[14] Zhou Z Y, Gao C X, Xu C, et al. Energy-efficient stable matching for resource allocation in energy harvesting-based device-to-device communications[J]. IEEE Access, 2017, 5: 15184-15196.DOI:10.1109/ACCESS.2017.2678508.
[15] Palomar D P, Chiang M. A tutorial on decomposition methods for network utility maximization[J]. IEEE Journal on Selected Areas in Communications, 2006, 24(8): 1439-1451.DOI:10.1109/JSAC.2006.879350.
[16] Fletcher R, Leyffer S. Solving mixed integer nonlinear programs by outer approximation[J]. Mathematical Programming, 1994, 66(1): 327-349.DOI:10.1007/BF01581153.
[17] Papandriopoulos J, Evans J S. SCALE: a low-complexity distributed protocol for spectrum balancing in multiuser DSL networks[J]. IEEE Transactions on Information Theory, 2009, 55(8): 3711-3724.DOI:10.1109/TIT.2009.2023751.
[18] Ng D W K, Lo E S, Schober R. Wireless information and power transfer: energy efficiency optimization in OFDMA systems[J]. IEEE Transactions on Wireless Communications, 2013, 12(12): 6352-6370.DOI:10.1109/TWC.2013.103113.130470.
[19] Mach P, Becvar Z, Najla M. Resource allocation for D2D communication with multiple D2D pairs reusing multiple channels[J]. IEEE Wireless Communications Letters, 2019, 8(4): 1008-1011.DOI:10.1109/LWC.2019.2903798.
