Abstract
New cross-layer scheduling algorithm to satisfy better Quality of Service (QoS) parameters for real time applications has been proposed in this paper. The proposed algorithm builds on allocating resource blocks (RB) with different modulation and coding schemes (MCS) according to bit error rate (BER). The authors admit that nowadays great attention is paid to Radio resource management algorithms development. Such algorithms improve radio resources application, making the enhanced throughout telecommunication system available to users. Radio resources management includes transmission power management, mobility management, radio resources scheduling etc. Smart radio resource management is the major task of LTE, which enables LTE to become a reliable technology, meeting the broadband mobility requirements in upcoming years. The given algorithm will schedule the available resources to the best advantage and afford users enough data transmission opportunity, even while they freely move. Moreover, the assigned resources QoS would not interfere with already assigned resources.References 8, figures 4.
Highlights
Long Term Evolution (LTE) is the name given to a 3GPP project to evolve UTRAN to meet theEvery Transmission Time Interval (TTI), the Channel Quality Indicator (CQI) is reported by the user measurement entity to the base station (BS) to provide time and frequency channel quality information for better spectral efficiency and resource allocation
Radio resources are scheduled every 1ms in 3GPP LTE and different frequency bandwidths i.e. 1.25, 2.5, 5, 10, 15, 20 MHz or an aggregated bandwidth can be assigned to an individual user based on the channel condition and availability
In this algorithm the equal allocation of the radio resources is ensured but not the capacity of traffic that they can handle with these physical resource blocks (PRB)
Summary
Long Term Evolution (LTE) is the name given to a 3GPP project to evolve UTRAN to meet the Figure 1. For downlink RBs, users use the Physical Uplink Control Channel (PUCCH) to convey channel quality information to the BS. BS conveys downlink RBs allocations and MCS assignments to all users using the Physical Downlink Control Channel (PDCCH) [1]. User-level QoS allocation problem could be divided into allocating RBs and power to individual users under various constraints. The joint optimization problem of allocating RBs and power optimally to satisfy user-level QoS under the total available power constraint, involves discrete assignment and is not convex in the unknowns of RBs allocation and the available power, making it an Nondeterministic Polynomial (NP)-hard problem [2]
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