Sai Kireet Patri, Achim Autenrieth, Jörg-Peter Elbers, Carmen Mas Machuca
A lightpath configuration algorithm considering a multi-period traffic model is presented and evaluated to a realistic German core network study.~Strategically exploiting BVT excess capacity, we show that offered traffic can be carried up to an additional five years in all traffic growth scenarios.
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Many networked applications, e.g., in the domain of cyber-physical systems, require strict service guarantees, usually in the form of jitter and latency bounds, for time-triggered traffic flows. It is a notoriously hard problem to compute a network-wide traffic plan that satisfies these requirements, and dynamic changes in the flow set add even more challenges. Existing traffic-planning methods are ill-suited for dynamic scenarios because they either suffer from high computational cost, can result in low network utilization, or provide no explicit guarantees when transitioning to a new traffic…
During network planning phase, optimal network planning implemented through efficient resource allocation and static traffic demand provisioning in IP-over-elastic optical network (IP-over-EON) is significantly challenging compared with the fixed-grid wavelength division multiplexing (WDM) network due to increased flexibility in IP-over-EON. Mathematical optimization models used for this purpose may not provide solution for large networks due to large computational complexity. In this regard, a greedy heuristic may be used that intuitively selects traffic elements in sequence from static traff…
Multi-Step Traffic Prediction for Multi-Period Planning in Optical Networks
针对光网络服务过度配置问题，提出利用编解码器深度学习模型进行多步流量预测的多周期规划框架，结合启发式算法优化资源利用并减少服务中断，性能优于单步预测方法。
Leveraging Multi-Step Traffic Forecasts for Multi-Period Planning Optical Networks
提出利用多步交通预测实现可重构光网络的多周期规划，通过编码器-解码器深度学习模型和整数线性规划（ILP）及启发式算法，在频谱节省与服务中断之间取得平衡。
Geometry Based UAV Trajectory Planning for Mixed User Traffic in mmWave Communication
提出一种基于计算几何的无人机轨迹规划方案，利用阿波罗尼斯圆和最小包围球等工具，在毫米波通信中兼顾URLLC低时延与eMBB高吞吐量需求，有效提升了系统的总吞吐量。
Transforming Next-generation Network Planning assisted by Data Acquisition of Top Three Spanish MNOs
本文针对5G网络规划需求，利用西班牙三大MNOs的真实开放数据库，提出数据采集流程以清理数据、提取流量信息并可视化密度模式，助力高效网络规划。
Real Call Detail Records (CDR) are analyzed and classified based on Support Vector Machine (SVM) algorithm. The daily classification results in three traffic classes. We use two different algorithms, K-means and SVM to check the classification efficiency. A second support vector regression (SVR) based algorithm is built to make an online prediction of traffic load using the history of CDRs. Then, these algorithms will be integrated to a network planning tool which will help cellular operators on planning optimally their access network.
Traffic-Aware Cost-Optimized Fronthaul Planning for Ultra-Dense Networks
针对超密集网络前传链路成本高且容量受限的问题，提出一种基于MILP的流量感知混合前传网络规划优化框架，通过联合考虑光纤与毫米波以最小化总成本并优化关键性能，实验证明其具备显著的成本与性能优势。
Multi-access Edge Computing (MEC) facilitates the deployment of critical applications with stringent QoS requirements, latency in particular. This paper considers the problem of jointly planning the availability of computational resources at the edge, the slicing of mobile network and edge computation resources, and the routing of heterogeneous traffic types to the various slices. These aspects are intertwined and must be addressed together to provide the desired QoS to all mobile users and traffic types still keeping costs under control. We formulate our problem as a mixed-integer nonlinear p…
While the network traffic has seen exponential increase, the revenues have not maintained the same pace. New methods have to be explored to reduce this gap between traffic and revenue. One such method is convergence in networking layers. In this work, we study the convergence of OTN and DWDM layer from a network planning perspective. We compare the costs of planning networks without and with convergence and show that the multilayer planning offers least cost for higher traffic volumes.
Beyond Static Forecasting: Unleashing the Power of World Models for Mobile Traffic Extrapolation
本文提出MobiWM世界模型，用于移动网络中的移动交通外推，通过融合多模态环境上下文和编码动作，提升空间理解，实验表明其在所有评估场景中均取得最佳分布保真度。
Interference matrix (IM) has been widely used in frequency planning/optimization of cellular systems because it describes the interaction between any two cells. IM is generated from the source data gathered from the cellular system, either mobile measurement reports (MMRs) or drive test (DT) records. IM accuracy is not satisfactory since neither MMRs nor DT records contain complete information on interference and traffic distribution. In this paper, two IM generation algorithms based on source data fusion are proposed. Data fusion in one algorithm is to reinforce MMRs data, using the frequency…
Decentralized Multi-Agent Urban Traffic Management via Spatio-Temporal Mobility Profile Planning
本文提出VeloCity框架，通过去中心化多智能体时空出行剖面规划，在四张真实城市地图上实现CAVs的高效无冲突交通管理，显著降低通行时间、约束延迟方差并避免拥堵死锁。
Meeting Future Mobile Traffic Needs by Peak-Throughput Design of Next-Gen RAN
针对当前移动网络拥塞问题，本文聚焦城市环境中毫米波5G网络的集成接入与回传（IAB）和智能无线电环境（SRE），提出基于峰值吞吐量最大化的网络规划模型，为满足未来移动流量需求提供优化方案。
NTP-INT: Network Traffic Prediction-Driven In-band Network Telemetry for High-load Switches
针对动态网络环境下高负载交换机的细粒度信息获取需求，本文提出NTP-INT智能遥测系统，通过流量预测、网络剪枝和路径规划模块，实现精准信息采集并降低50%控制开销。
It is important that the wireless network is well optimized and planned, using the limited wireless spectrum resources, to serve the explosively growing traffic and diverse applications needs of end users. Considering the challenges of dynamics and complexity of the wireless systems, and the scale of the networks, it is desirable to have solutions to automatically monitor, analyze, optimize, and plan the network. This article discusses approaches and solutions of data analytics and machine learning powered optimization and planning. The approaches include analyzing some important metrics of pe…
Traffic Learning and Proactive UAV Trajectory Planning for Data Uplink in Markovian IoT Models
针对 IoT 数据上行的信息年龄与能耗问题，提出基于 Markov 流量预测和 DRL 的多 UAV 轨迹与调度联合优化框架，性能优于 RW 基线。
As the increase in satellite number and variety, satellite ground stations should be required to offer user services in a flexible and efficient manner. Network function virtualization (NFV) can provide a new paradigm to allocate network resources on-demand for user services over the underlying network. However, most of the existing work focuses on the virtual network function (VNF) placement and routing traffic problem for enterprise data center networks, the issue needs to further study in satellite communication scenarios. In this paper, we investigate the VNF placement and routing traffic …
VeSoNet: Traffic-Aware Content Caching for Vehicular Social Networks based on Path Planning and Deep Reinforcement Learning
针对车载社交网络严格时延下的内容交付难题，提出融合图剪枝路径规划、vehicle2vec社交内容推荐与DRL缓存分布优化的车载边缘计算架构。
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