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This study focuses on resource block allocation issue in the downlink transmission systems of the Long Term Evolution (LTE). In existing LTE standards, all Allocation Units (AUs) allocated to any user must adopt the same Modulation and Coding Scheme (MCS), which is determined by the AU with the worst channel condition. Despite its simplicity, this...
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Context 1
... solution for above problem is proposed, which is explained in Figure 2. The number of AUs allocated to each user in Figure 2 is the same as Figure 1. Assuming that each AU only consists of one symbol, the symbol transmission rate can be found in Table 2. `Before' in Figure 2 is MCS index and data rate obtained by the user without removing any AUs. ...
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Citations
... 2 LTE has been set with aggressive performance requirements that rely on physical layer technologies, such as orthogonal frequencydivision multiplexing (OFDM), multiple input multiple output (MIMO) systems, and smart antennas to achieve these targets. 3 The LTE air interface depends on two different multiple access techniques. Both of them are based on OFDM. ...
Guaranteeing a certain delay threshold for delay‐sensitive applications in long term evolution (LTE) cellular communication system is a very challenging mission. By implementing an optimal scheduling strategy, this mission will be achieved. In this article, a novel scheduler is introduced in order to meet a predefined level of service quality by guaranteeing a specific delay threshold for delay‐sensitive applications in LTE cellular systems. The proposed scheduler assigns the available resource blocks (RBs) to active user equipments (UEs) tacking into consideration several attributes. The expiration date of each packet, the channel quality, the average data rate previously achieved by each UE, and the number of dropped packets for each UE compared with the average number of packets totally dropped are all considered in the proposed scheduler working mechanism. Consequently, the proposed scheduling strategy reduces the number of packets dropped for multimedia applications, and at the same time maximizes the overall throughput of the network. Simulation results are provided to study and evaluate the performance of the proposed scheduling strategy. A comparative study is presented between the proposed strategy and the most recent scheduling techniques. The obtained results prove that the proposed scheduling strategy has considerably acceptable and appreciated results compared with the results of the state‐of‐the‐art scheduling techniques. Guaranteeing a certain delay threshold for delay‐sensitive applications in the LTE cellular communication system is a very challenging mission. By implementing an optimal scheduling strategy, this mission will be achieved. In this article, a novel scheduler is introduced in order to meet a predefined level of service quality by guaranteeing a specific delay threshold for delay‐sensitive applications in LTE cellular system.
... In (Baorong, Sun, & Ren, 2013), the study focuses on resource block allocation issue in the downlink transmission systems of the LTE. In existing LTE standards, all Allocation Units (AUs) allocated to any user must adopt the same MCS, which is determined by the AU with the worst channel condition. ...
In the past few years, it's observed that cellular operators have experienced a fast growth of mobile broadband subscribers and traffic volume per subscriber. Simultaneously, operators are moving from a single to a multi-service offering by adding new services. This chapter presents a survey of the Quality of Service (QoS) drivers in LTE and LTE-Advanced, focusing on IP Frameworks and IP Services. It also includes a detailed list and description of the resource management mechanisms, such as power saving, admission control, scheduling and resource allocation that play a vital role in QoS. The authors describe the State-of-the-Art in IP frameworks and Services such as video, VoIP, Video on Demand (VoD). Also, resource management mechanisms are described such as Energy efficiency, admission control, and scheduling. In the end, the authors mentioned the future directions about QoS in 5G networks.
... The RRA algorithms given below are classified as channel aware or QoS aware depending upon taking into consideration the channel conditions or adherence to the QoS constraints imposed by applications respectively. A detailed description of these algorithms can be found in [6] to [12] and unpublished [21]. ...
... represents spectral efficiency for the user over the RB. The scheduling priority metric is given by (6) ...
as a breakthrough technology under 3GPP, LTE has attracted attention worldwide. Main features include enhanced peak data rates, lower delay, increased cell edge throughput. For an LTE system, serving a large number of users requires an efficient RRA algorithm which has not been standardized for the system and is still an open end for development. Researchers have proposed various algorithms some of which have become popular among network designers. A comparative study of some of these popular RRA algorithms has been carried out in this paper.
In the past few years, it's observed that cellular operators have experienced a fast growth of mobile broadband subscribers and traffic volume per subscriber. Simultaneously, operators are moving from a single to a multi-service offering by adding new services. This chapter presents a survey of the Quality of Service (QoS) drivers in LTE and LTE-Advanced, focusing on IP Frameworks and IP Services. It also includes a detailed list and description of the resource management mechanisms, such as power saving, admission control, scheduling and resource allocation that play a vital role in QoS. The authors describe the State-of-the-Art in IP frameworks and Services such as video, VoIP, Video on Demand (VoD). Also, resource management mechanisms are described such as Energy efficiency, admission control, and scheduling. In the end, the authors mentioned the future directions about QoS in 5G networks.
The performance of resource allocation algorithms for wireless networks is measured by various parameters. One of the parameters is the 'fairness of allocation' which is a widely studied topic. A number of metrics have been defined in literature for measuring fairness. Jain's Index is the most popularly used metric. A survey of these metrics and issues therein has been carried out in this paper. Possible methods to address these issues have also been proposed.
