Abstract
Dynamic resource allocation scheme is a key component of 3GPP long-term evolution (LTE) for satisfying quality-of-service (QoS) requirement as well as improving the system throughput. In this paper, a buffer-aware adaptive resource allocation scheme for LTE downlink transmission is proposed for improving the overall system throughput while guaranteeing the statistic QoS and keeping certain fairness among users. Specifically, the priorities of the users’ data queues in the base station are ranked by their remaining life time or their queue overflow probability which is estimated by applying large deviation principle. An online measurement based algorithm which requires no statistical knowledge of the network conditions uses the queue priorities to dynamically allocate the resource blocks (RBs) for avoiding buffer overflow and providing statistic QoS guarantee. The simulation results show that the proposed algorithm improves the throughput and fairness while considerably reducing the average bit loss rate.
Highlights
Mobile communication technologies have been developed rapidly, and switched from the third generation (3G) of mobile communication systems to the long-term evolution (LTE) systems, which aims to provide high-data-rate, low-latency, packet-optimized radio-access, and flexible bandwidth deployments [1]
We propose a buffer-aware adaptive resource allocation scheme by jointly considering the user scheduling and resource blocks (RBs) allocation to provide QoS guarantee in LTE transmission systems
Contributions In this paper, we proposed a buffer-aware adaptive resource allocation scheme for LTE downlink transmission by jointly exploiting the priorities of user queues and RBs capacity
Summary
Mobile communication technologies have been developed rapidly, and switched from the third generation (3G) of mobile communication systems to the long-term evolution (LTE) systems, which aims to provide high-data-rate, low-latency, packet-optimized radio-access, and flexible bandwidth deployments [1]. Conventional resource allocation schemes in wireless system are generally based on user’s priority [4, 5]. They are designed according to user’s channel status and QoS guarantee to maximize overall system throughput. Providing fairness among users is another essential design consideration, it usually sacrifices the system throughput and/or violates QoS requirements. The resource allocation problem in wireless system has been widely addressed in some literatures, but it is still chal-
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