A novel and realistic hybrid downlink-uplink coupled/decoupled access scheme for 5G HetNets

A novel and realistic hybrid downlink-uplink coupled/decoupled access scheme for 5G HetNets

Cell association in present day heterogeneous networks (HetNets) is still based on the technique used by homogeneous cellular networks despite power and coverage area disparities of network nodes. In ongoing policy, both uplink (UL) and downlink (DL) associations are coupled based on DL characteristics, which introduces UL-DL asymmetry and cell load imbalances. Recently, decoupled cell association, also known as downlink-uplink decoupling (DUDe), has been introduced in 3rd Generation Partnership Project (3GPP) Release 12 to improve uplink performance, load balancing, and cell capacity. In DUDe, characteristics of both DL and UL channels can be considered. By using this concept, various theoretical UL or DL analytical decoupled access models have been proposed without giving their practical realization. In these frameworks, all network users are assumed to use DL-UL decoupled access without considering its practical utility. Existing solutions also ignore noise, which may lead to practical inaccuracies. This paper proposes a novel and realistic hybrid scheme in which coupled or decoupled cell associations can be selected depending upon user location and its advantages. Building upon this innovative approach, it has been established that decoupled access is chosen by few users and accordingly a two-tier analysis framework for these devices has been formulated. Simple closed-form solutions for user performance metrics without ignoring noise have been precisely derived, which relate user performance with HetNet densities. Devised distributions are employed to compare the performance of the decoupled case with the ongoing procedure of coupled access. A practical network design has been proposed, which requires minimum changes to the existing network. Results show that decoupling is viable in the 5G HetNet to achieve fairness, cell load balancing, and performance improvements.

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  • [1] Gavrilovska L, Rakovic V, Atanasovski V. Visions towards 5G: technical requirements and potential enablers. Wireless Pers Commun 2016; 87: 731-757.
  • [2] Boccardi F, Heath RW, Lozano A, Marzetta TL, Popovski P. Five disruptive technology directions for 5G. IEEE Commun Mag 2014; 52: 74-80.
  • [3] Boccardi F, Andrews JG, Elshaer H, Dohler M, Parkvall S, Popovski P, Singh S. Why to decouple the uplink and downlink in cellular networks and how to do it. IEEE Commun Mag 2016; 54: 110-117.
  • [4] Jo HS, Sang YJ, Xia P, Andrews JG. Heterogeneous cellular networks with exible cell association: a comprehensive downlink SINR analysis. IEEE T Wirel Commun 2012; 11: 3484-3495.
  • [5] Smiljkovikj K, Popovski P, Gavrilovska L. Analysis of the decoupled access for downlink and uplink in wireless heterogeneous networks. IEEE Wirel Commun Lett 2015; 4: 173-176.
  • [6] Smiljkovikj K, Popovski P, Gavrilovska L. Capacity analysis of decoupled downlink and uplink access in 5G heterogeneous systems. arXiv: 1410.7270.
  • [7] Singh S, Zhang X, Andrews JG. Joint rate and SINR coverage analysis for decoupled uplink-downlink biased cell associations in HetNets. IEEE T Wirel Commun 2015; 14: 5360-5373.
  • [8] Elbamby MS, Bennis M, Latva-Aho M. UL/DL decoupled user association in dynamic TDD small cell networks. In: International Symposium on Wireless Communication Systems; 25{28 August 2015; Brussels, Belgium. New York, NY, USA: IEEE. pp. 456-460.
  • [9] Singh S, Zhang X, Andrew JG. Uplink rate distribution in heterogeneous cellular networks with power control and load balancing. In: IEEE International Conference on Communication Workshop; 8{12 June 2015; London, UK. New York, NY, USA: IEEE. pp. 1275-1280.
  • [10] Chiu SN, Stoyan D, Kendall WS, Mecke J. Stochastic Geometry and Its Applications. New York, NY, USA: Wiley, 2013.
  • [11] Sui X, Zhao Z, Li R, Zhang H. Energy efficiency analysis of heterogeneous cellular networks with downlink and uplink decoupling. In: Global Communications Conference; 6{10 December 2015; San Diego, CA, USA. New York, NY, USA: IEEE. pp. 1-7.
  • [12] Dhillon HS, Andrews JG. Downlink rate distribution in heterogeneous cellular networks under generalized cell selection. IEEE Wirel Commun Lett 2014; 3: 42-45.
  • [13] Baccelli F, Blaszczyszyn B. Stochastic Geometry and Wireless Networks. Foundations and Trends in Networking. Hanover, MA, USA: Now Publishers, 2010.
  • [14] Lin Y, Bao W, Yu W, Linag B. Optimizing user association and spectrum allocation in HetNets: a utility perspective. IEEE J Sel Area Comm 2015; 33: 1025-1039.
  • [15] Novlan TD, Dhillon HS, Andrews JG. Analytical modeling of uplink cellular networks. IEEE T Wirel Commun 2013; 12: 2669-2679.
  • [16] Damnjanovic A, Montojo J, Wei Y, Ji T, Luo T, Vajapeyam M, Yoo T, Song O, Malladi D. A survey on 3GPP heterogeneous networks. IEEE Wirel Commun 2011; 18: 10-21.