Long Term Evolution (LTE) represents the next phase of wireless communication networks. With a growing number of services now relying on these networks, each with varying demands, meeting the Quality of Service (QoS) requirements for multiple services has become a significant challenge in LTE systems. Resource allocation typically involves evaluating and comparing performance metrics across users for each available resource. Packet scheduling algorithms are used to allocate resources depending on the parameters considered. In this paper, the new algorithm is inspired by the behavior of social spiders to allocate resources based on the user’s waiting time and QoS, which is called (WQ_SS). The main goal of WQ_SS is to distribute resources efficiently to maximize system throughput and QoS guarantee. The WQ_SS providers minimize the packet delay and meet the flow deadlines in LTE networks, especially at different packets. The WQ_SS algorithm prevents starvation and the waste of resources under heavy or different traffic types. Results show that the proposed algorithm has an approximate throughput and throughput fairness compared to other scheduling algorithms. Also, the WQ_SS algorithm can satisfy the users’ QoS requirements while improving the overall system performance.