As the demand for mobile communication services increases, network planning needs to be optimized to cope with both increased traffic demand and limited spectrum. In this paper we present a new approach to cellular network planning that integrates teletraffic issues and radio engineering to automatically achieve optimized planning solutions. The core of this technique is the notion of demand no...

The long, medium and short term planning of Hungarian backbone and Budapest trunk networks in Hungarian Telecom are based on the software package PLANET, which covers a wide range of the transmission planning activities. The paper describes the PDH and SDH network planning tools, the planning processes and the resulted networks. Main present features of Hungarian backbone and Budapest trunk net...

We introduce the value iteration network (VIN): a fully differentiable neural network with a ‘planning module’ embedded within. VINs can learn to plan, and are suitable for predicting outcomes that involve planning-based reasoning, such as policies for reinforcement learning. Key to our approach is a novel differentiable approximation of the value-iteration algorithm, which can be represented a...

Development of every society is incumbent upon energy sector’s technological and economic effectiveness. The electricity industry is a growing and needs to have a better performance to effectively cover the demand. The industry requires a balance between cost and efficiency through careful design and planning. In this paper, a two-stage stochastic programming model is presented for the design o...

The paper presents a demand-based engineering method for designing urban wireless networks. We present an integrated approach to include the effects of both tele-traffic and radio signal coverage for cellular network planning. The novelty of our scheme is an application of clustering technique to determine the cell and base-station locations. We model the cell planning problem as a clustering p...

We extend hierarchical task network planning with task insertion (TIHTN) by introducing state constraints, called TIHTNS. We show that just as for TIHTN planning, all solutions of the TIHTNS planning problem can be obtained by acyclic decomposition and task insertion, entailing that its planexistence problem is decidable without any restriction on decomposition methods. We also prove that the e...

Power grid planning and design platform is an integration power grid planning and design and technical-support platform system, serving in power grid companies at all levels and the planning and design unit multistage users for collaborative planning design, comprehensively supporting planning and design basis data management, major network planning, distribution network planning, project plann...

Modeling and optimal solving of supply chain management problems lead to efficient decision making in strategic planning and supply chain operations, resulting in a competitive advantage. Today, with the planning of a sustainable supply chain, in addition to achieving economic goals, it is possible to meet social and environmental objectives and considerations. This research deal with sustainab...