Relaying is emerging as one of the key radio access techniques for LTE-Advanced (LTE-A) networks to fulfill the LTE-Advanced coverage and capacity requirements in a cost-efficient way. Relaying enables improved high data rate coverage for indoor environments or at the cell edge by deploying a low power base station. Type I in-band relaying supports a relaying mode where the backhaul link transmission is time-division multiplexed with the access link reception, whereas macro users share the same resources with the relays. Therefore, in LTE-A networks deployed with type I relay nodes, resource partitioning is required to support in-band relaying. Consequently, it is very important to know how to partition system resources to attain improved fairness and efficiency. The main contribution of this paper is to design and analyze a novel admission control with an adaptive resource partitioning (AC-ARP) scheme to facilitate the operation of fixed relay stations in the OFDMA-based relay enhanced LTE-Advanced networks in a more efficient way. Its analytical model using multi-dimensional continuous time Markov chains is derived and explained. In addition, its performance comparisons with conventional admission control with a fixed resource partitioning (AC-FRP) scheme is presented and discussed. We present numerical examples to demonstrate the performance of the proposed AC-ARP scheme, and we show that analytical and simulation results are in complete agreement. The results also indicate the superiority of AC-ARP because it is able to achieve a better balance between system utilization and QoS provisioning compared to the AC-FRP scheme.
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This work was supported by the Research Center of College of Computer and Information Sciences, King Saud University. The authors are grateful for this support.
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AlQahtani, S.A. Analysis of an Adaptive Priority Based Resource Allocation Control for LTE-Advanced Communications with Type I Relay Nodes. Wireless Pers Commun 77, 2699–2722 (2014). https://doi.org/10.1007/s11277-014-1662-x
- Admission control
- Adaptive resource partitioning