Haptic communication is a form of non-verbal communication involving touch and feel. Haptic communication is a major requirement for the Tactile Internet that deals with mechanism to transmit touch, feel, and skills between two geographically distant entities, in realtime. Lately, haptic communication has become an essential requirement for variety of realtime robotic and Augmented/Virtual Reality applications. With very stringent delay and reliability requirements, haptic communication poses significant challenges for network engineers. This becomes further complicated when the cellular technology is used as the access medium for haptic communication. Since cellular networks are resource constrained, accommodating haptic users along with existing non-haptic users become a hard scheduling problem. In this paper, we propose an efficient latency-aware uplink resource allocation scheme satisfying end-to-end delay requirements of haptic users in a Long Term Evolution based cellular network. The proposed scheme first predicts the downlink and processing delays for users’ transmission flows. Subsequently, the model apply an optimal scheduling scheme for the uplink transmissions which satisfies expected end-to-end latency constraint. Our extensive simulations indicate that the proposed algorithm outperforms some of the widely used state-of-the-art scheduling schemes.

触觉交流是一种涉及触觉和感觉的非语言交流形式。触觉通信是触觉互联网的主要要求，它处理在两个地理上相距遥远的实体之间实时传输触觉、感觉和技能的机制。最近，触觉通信已成为各种实时机器人和增强/虚拟现实应用程序的基本要求。由于对延迟和可靠性的要求非常严格，触觉通信给网络工程师带来了重大挑战。当蜂窝技术用作触觉通信的接入介质时，这变得更加复杂。由于蜂窝网络是资源受限的，容纳触觉用户和现有的非触觉用户成为一个困难的调度问题。在本文中，我们提出了一种有效的延迟感知上行链路资源分配方案，以满足基于长期演进的蜂窝网络中触觉用户的端到端延迟要求。所提出的方案首先预测用户传输流的下行链路和处理延迟。随后，该模型为满足预期的端到端延迟约束的上行链路传输应用最优调度方案。我们广泛的模拟表明，所提出的算法优于一些广泛使用的最先进的调度方案。该模型对满足预期端到端延迟约束的上行链路传输应用最优调度方案。我们广泛的模拟表明，所提出的算法优于一些广泛使用的最先进的调度方案。该模型对满足预期端到端延迟约束的上行链路传输应用最优调度方案。我们广泛的模拟表明，所提出的算法优于一些广泛使用的最先进的调度方案。