Heterogeneous networks have emerged as a popular solution for accommodating the growing number of connected devices and increasing traffic demands in cellular networks. While offering broader coverage, higher capacity, and lower latency, the escalating energy consumption poses sustainability challenges. In this paper a novel optimization approach for orthogonal heterogeneous networks is proposed to minimize transmission power while respecting individual users’ throughput constraints. The problem is formulated as a mixed integer geometric program, and optimizes at once multiple system variables such as user association, working bandwidth, and base stations transmission powers. Crucially, the proposed approach becomes a convex optimization problem when user-base station associations are provided. Evaluations in multiple realistic scenarios from the production mobile network of a major European operator and based on precise channel gains and throughput requirements from measured data validate the effectiveness of the proposed approach. Overall, our original solution paves the road for greener connectivity by reducing the energy footprint of heterogeneous mobile networks, hence fostering more sustainable communication systems.

中文翻译：

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一种用于高能效异构 OFDMA 无线接入网络的联合优化方法


异构网络已成为一种流行的解决方案，用于适应蜂窝网络中不断增长的连接设备和不断增长的流量需求。在提供更广泛的覆盖范围、更高的容量和更低的延迟的同时，不断上升的能源消耗也带来了可持续性挑战。在本文中，提出了一种针对正交异构网络的新优化方法，以在尊重单个用户的吞吐量约束的同时最小化传输功率。该问题被表述为一个混合整数几何程序，并立即优化多个系统变量，如用户关联、工作带宽和基站传输功率。至关重要的是，当提供用户-基站关联时，所提出的方法成为一个凸优化问题。来自欧洲主要运营商的生产移动网络的多个真实场景中的评估，并基于测量数据的精确信道增益和吞吐量要求，验证了所提出的方法的有效性。总体而言，我们的原始解决方案通过减少异构移动网络的能源足迹，为更环保的连接铺平了道路，从而促进了更可持续的通信系统。