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Abstract: To support the ubiquitous connectivity requirement of sixth generation communication, unmanned aerial vehicles (UAVs) play a key role as a major part of the future communication networks. One major issue in UAV communications is the interference resulting from spectrum sharing and line-of-sight links. Recently, the application of the coordinated multipoint (CoMP) technology has been proposed to reduce the interference in the UAV-terrestrial heterogeneous network (HetNet). In this paper, we consider a three-dimensional (3D) multilayer UAV-terrestrial HetNet, where the aerial base stations (ABSs) are deployed at multiple different altitudes. Using stochastic geometry, we develop a tractable mathematical framework to characterize the aggregate interference and evaluate the coverage probability of this HetNet. Our numerical results show that the implementation of the CoMP scheme can effectively reduce the interference in the network, especially when the density of base stations is relatively large. Furthermore, the system parameters of the ABSs deployed at higher altitudes dominantly influence the coverage performance of the considered 3D HetNet.

多点协同传输机制下的多层无人机-地面异构网络覆盖性能分析

[1]3GPP, 2011. Coordinated Multi-point Operation for LTE Physical Layer Aspects, TR 36.819.

[2]Akyildiz IF, Kak A, Nie S, 2020. 6G and beyond: the future of wireless communications systems. IEEE Access, 8:133995-134030. doi: 10.1109/ACCESS.2020.3010896

[3]Al-Hourani A, Kandeepan S, Lardner S, 2014. Optimal LAP altitude for maximum coverage. IEEE Wirel Commun Lett, 3(6):569-572. doi: 10.1109/LWC.2014.2342736

[4]Alzenad M, Yanikomeroglu H, 2019. Coverage and rate analysis for vertical heterogeneous networks (VHetNets). IEEE Trans Wirel Commun, 18(12):5643-5657. doi: 10.1109/TWC.2019.2938168

[5]Bor-Yaliniz I, Yanikomeroglu H, 2016. The new frontier in RAN heterogeneity: multi-tier drone-cells. IEEE Commun Mag, 54(11):48-55. doi: 10.1109/MCOM.2016.1600178CM

[6]Dang SP, Amin O, Shihada B, et al., 2020. What should 6G be? Nat Electron, 3(1):20-29. doi: 10.1038/s41928-019-0355-6

[7]Giordani M, Polese M, Mezzavilla M, et al., 2020. Toward 6G networks: use cases and technologies. IEEE Commun Mag, 58(3):55-61. doi: 10.1109/MCOM.001.1900411

[8]Guo J, Durrani S, Zhou XY, 2014. Characterization of aggregate interference in arbitrarily-shaped underlay cognitive networks. Proc IEEE Global Communications Conf, p.961-966. doi: 10.1109/GLOCOM.2014.7036933

[9]Haenggi M, 2012. Stochastic Geometry for Wireless Networks. Cambridge University Press, Cambridge, UK.

[10]Haenggi M, Ganti RK, 2009. Interference in large wireless networks. Found Trends Netw, 3(2):127-248. doi: 10.1561/1300000015

[11]Hu HN, Gao Y, Zhang JL, et al., 2019. On the performance and fairness of LTE-U and WiFi networks sharing multiple unlicensed channels. Proc IEEE 30^th Annual Int Symp on Personal, Indoor and Mobile Radio Communications, p.1-6. doi: 10.1109/PIMRC.2019.8904396

[12]Irmer R, Droste H, Marsch P, et al., 2011. Coordinated multi-point: concepts, performance, and field trial results. IEEE Commun Mag, 49(2):102-111. doi: 10.1109/MCOM.2011.5706317

[13]Jacovic M, Bshara O, Dandekar KR, 2018. Waveform design of UAV data links in urban environments for interference mitigation. IEEE 88^th Vehicular Technology Conf, p.1-5. doi: 10.1109/VTCFall.2018.8

[14]Kishk M, Bader A, Alouini MS, 2020. Aerial base station deployment in 6G cellular networks using tethered drones: the mobility and endurance tradeoff. IEEE Veh Technol Mag, 15(4):103-111. doi: 10.1109/MVT.2020.3017885

[15]Li B, Fei ZS, Dai YY, et al., 2018. Secrecy-optimized resource allocation for UAV-assisted relaying networks. Proc IEEE Global Communications Conf, p.1-6. doi: 10.1109/GLOCOM.2018.8647437

[16]Li B, Fei ZS, Zhang Y, 2019. UAV communications for 5G and beyond: recent advances and future trends. IEEE Int Things J, 6(2):2241-2263. doi: 10.1109/JIOT.2018.2887086

[17]Li Y, Miridakis NI, Tsiftsis TA, et al., 2020. Air-to-air communications beyond 5G: a novel 3D CoMP transmission scheme. IEEE Trans Wirel Commun, 19(11):7324-7338. doi: 10.1109/TWC.2020.3010569

[18]Liu L, Zhang S, Zhang R, 2019. CoMP in the sky: UAV placement and movement optimization for multi-user communications. IEEE Trans Commun, 67(8):5646-5658. doi: 10.1109/TCOMM.2019.2907944

[19]Mei WD, Zhang R, 2020. Cooperative downlink interference transmission and cancellation for cellular-connected UAV: a divide-and-conquer approach. IEEE Trans Commun, 68(2):1297-1311. doi: 10.1109/TCOMM.2019.2955953

[20]Qiu JF, Grace D, Ding GR, et al., 2019. Air-ground heterogeneous networks for 5G and beyond via integrating high and low altitude platforms. IEEE Wirel Commun, 26(6):140-148. doi: 10.1109/MWC.0001.1800575

[21]Saad W, Bennis M, Chen MZ, 2020. A vision of 6G wireless systems: applications, trends, technologies, and open research problems. IEEE Netw, 34(3):134-142. doi: 10.1109/MNET.001.1900287

[22]Sekander S, Tabassum H, Hossain E, 2018. Multi-tier drone architecture for 5G/B5G cellular networks: challenges, trends, and prospects. IEEE Commun Mag, 56(3):96-103. doi: 10.1109/MCOM.2018.1700666

[23]Singh S, Kumbhar A, Sichitiu ML, et al., 2018. Distributed approaches for inter-cell interference coordination in UAV-based LTE-advanced HetNets. IEEE 88^th Vehicular Technology Conf, p.1-6. doi: 10.1109/VTCFall.2018.8691002

[24]Sun Y, Ding Z, Dai X, 2019. A user-centric cooperative scheme for UAV-assisted wireless networks in malfunction areas. IEEE Trans Commun, 67(12):8786-8800. doi: 10.1109/TCOMM.2019.2944911

[25]Tanbourgi R, Singh S, Andrews JG, et al., 2014a. Analysis of non-coherent joint-transmission cooperation in heterogeneous cellular networks. Proc IEEE Int Conf on Communications, p.5160-5165. doi: 10.1109/ICC.2014.6884140

[26]Tanbourgi R, Singh S, Andrews JG, et al., 2014b. A tractable model for noncoherent joint-transmission base station cooperation. IEEE Trans Wirel Commun, 13(9):4959-4973. doi: 10.1109/TWC.2014.2340860

[27]Wang HM, Huang KW, Tsiftsis TA, 2018. Base station cooperation in millimeter wave cellular networks: performance enhancement of cell-edge users. IEEE Trans Commun, 66(11):5124-5139. doi: 10.1109/TCOMM.2018.2848910

[28]Wang XL, Zhang HJ, Tian Y, et al., 2019a. Performance analysis of aerial base station assisted cooperative communication systems. Proc IEEE 89^th Vehicular Technology Conf, p.1-5. doi: 10.1109/VTCSpring.2019.8746388

[29]Wang XL, Zhang HJ, Kim KJ, et al., 2019b. Performance analysis of cooperative aerial base station-assisted networks with non-orthogonal multiple access. IEEE Trans Wirel Commun, 18(12):5983-5999. doi: 10.1109/TWC.2019.2941199

[30]Wu HC, Tao XF, Zhang N, et al., 2018. Cooperative UAV cluster-assisted terrestrial cellular networks for ubiquitous coverage. IEEE J Sel Areas Commun, 36(9):2045-2058. doi: 10.1109/JSAC.2018.2864418

[31]Zeng Y, Wu QQ, Zhang R, 2019a. Accessing from the sky: a tutorial on UAV communications for 5G and beyond. Proc IEEE, 107(12):2327-2375. doi: 10.1109/JPROC.2019.2952892

[32]Zeng Y, Lyu J, Zhang R, 2019b. Cellular-connected UAV: potential, challenges, and promising technologies. IEEE Wirel Commun, 26(1):120-127. doi: 10.1109/MWC.2018.1800023

[33]Zeng Y, Xu J, Zhang R, 2019c. Energy minimization for wireless communication with rotary-wing UAV. IEEE Trans Wirel Commun, 18(4):2329-2345. doi: 10.1109/TWC.2019.2902559

[34]Zhang P, Peng MG, Cui SG, et al., 2022. Theory and techniques for "intellicise" wireless networks. Front Inform Technol Electron Eng, 23(1):1-4. doi: 10.1631/FITEE.2210000

[35]Zhang S, Liu J, 2018. Analysis and optimization of multiple unmanned aerial vehicle-assisted communications in post-disaster areas. IEEE Trans Veh Technol, 67(12):12049-12060. doi: 10.1109/TVT.2018.2871614

[36]Zhang ZQ, Xiao Y, Ma Z, et al., 2019. 6G wireless networks: vision, requirements, architecture, and key technologies. IEEE Veh Technol Mag, 14(3):28-41. doi: 10.1109/MVT.2019.2921208

[37]Zhou XH, Durrani S, Guo J, et al., 2019. Underlay drone cell for temporary events: impact of drone height and aerial channel environments. IEEE Int Things J, 6(2):1704-1718. doi: 10.1109/JIOT.2018.2875166