Resource allocation based on cross-layer QoS-guaranteed scheduling for multi-service multi-user MIMO–OFDMA systems

Abstract

International audienceCross-layer strategies for resource allocation in wireless networks are essential to guaranty an efficient utilization of the scarce resource. In this paper, we present an efficient radio resource allocation scheme based on PHY/MAC cross layer design and QoS-guaranteed scheduling for multi-user (MU), multi-service (MS), multi-input multi-output (MIMO) concept, orthogonal frequency division multiple access (OFDMA) systems. It is about a downlink multimedia transmission chain in which the available resources as power and bandwidth, are dynamically allocated according to the system parameters. Among these parameters, we can mention the physical link elements such as channel state information, spectral efficiency and error code corrector rate, and MAC link variables, which correspond to the users QoS requirements and the queue status. Primarily, we use a jointly method which parametrizes these system parameters, according to the total power, and the bit error rate constraints. Secondly, we propose a QoS-guaranteed scheduling that shares the sub-carriers to the users. These users request several type of traffic under throughput threshold constraints. The main objective in this work is to adjust the average throughput per service of each user, according to their needs and likewise to satisfy a great number of connexions. Subsequently, we consider a model of moderated compartmentalization between various classes of services by partitioning the total bandwidth into several parts. Each class of service will occupy a part of the bandwidth and will be transmitted over a maximum number of sub-carriers. The simulation results show that the proposed strategy provides a more interesting performance improvement (in terms of average data rate and user satisfaction) than other existing resource allocation schemes, such as nonadaptive resource allocation strategy. The performances are also analyzed and compared for the two multi-service multi-user MIMO–OFDMA systems; with sub-carriers partitioning and without sub-carriers partitioning

Hybrid optimisation for priority‐based scheduling in multi‐user STBC‐MIMO‐OFDM

“…Whenever the capacity of the channel was kept at the desired level, the total users were increased leading to the consumption of large transmission power. Kambou et al [12] used a radio resource allocation strategy through optimising the data rate of the user leading to better user satisfaction. The drawback of the method was that there was no optimisation in the transmission power and on the other hand, an equal power allocation scheme was employed that affected the performance of the system.…”

“…The multi-user MIMO-OFDMA (MU MIMO-OFDMA) system offers higher data rate considering the diversities in frequency and space. There is a possibility for the multi-user (MU) interference in case of the MU MIMO-OFDMA system [12]. At present, MU-MIMO systems find valuable application in the wireless communication that could acquire MIMO capacity gains using the BS with multiple antennas and a bunch of single-antenna mobile users with no even expanding the bandwidth of the network.…”

“…Hence, clustering the adjacent subcarriers is meant to reduce the feedback load in case of the literature [3]. In [12], one could find an efficient radio resource allocation scheme that is depended on the PHY/MAC cross-layer design and QoSguaranteed scheduling for multi-service (MS), MU, multi-input multi-output (MIMO), and OFDMA systems. It is regarding the downlink multimedia transmission chain wherein the available resources being the power and bandwidth, are allocated dynamically based on the parameters of the system.…”