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JIANG Jing, TAO Sha, WANG Wei, CHU Hongyun, Worakrin Sutthiphan, LI Chunguo. Consistent-coverage Oriented AP Deployment Optimization in Cell Free and Legacy Coexistence Network[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT230627
Citation: JIANG Jing, TAO Sha, WANG Wei, CHU Hongyun, Worakrin Sutthiphan, LI Chunguo. Consistent-coverage Oriented AP Deployment Optimization in Cell Free and Legacy Coexistence Network[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT230627

Consistent-coverage Oriented AP Deployment Optimization in Cell Free and Legacy Coexistence Network

doi: 10.11999/JEIT230627
Funds:  The National Natural Science Foundation of China (61871321, 61901370), Key Program for International S\&T Cooperation Projects of Shaanxi Province (2023-GHZD-37), Key Industrial Chain Projects of Shaanxi Province (2023-ZDLGY-49)
  • Received Date: 2023-06-25
  • Rev Recd Date: 2023-12-12
  • Available Online: 2023-12-20
  • To address the issue of dramatic fluctuations in user experience in legacy cellular networks, cell-free and legacy coexistence networks deploy Access Points (APs) into cellular networks, which can significantly improve the coverage signal quality of edge users and blind areas. Therefore, a good and consistent user experience at any location in the coverage area, i.e. consistent-coverage is the primary goal to improve the performance of coexistence networks. As the AP deployment is the determinant of user transmission rate and coverage in coexistence networks, a consistent-coverage oriented AP deployment optimization problem is designed. Firstly, the expression of the downlink achievable rate of each user is derived based on the joint transmission model of coexistence network. Secondly, a ratio sum optimization problem is proposed to maximize the average throughput. Finally, the non-convex problem is transformed into a convex optimization problem by using the fractional programming and the introduction of auxiliary variables, where the AP deployment scheme is obtained by the iterative solution. Compared with the legacy cellular networks, the simulation results demonstrate that the proposed scheme can significantly increase average throughput of the edge and blind areas.
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