Green Opportunistic and Efficient Resource Block Allocation Algorithm for LTE Uplink Networks

Fatima Zohra Kaddour, Emmanuelle Vivier, Lina Mroueh, Mylene Pischella, Philippe Martins

Research output: Contribution to journalArticlepeer-review

Abstract

This work proposes a new radio resource allocation scheme for the green uplink Long-Term Evolution (LTE) networks. The proposed scheme aims at efficiently allocating the resource blocks (RBs) and the transmission power of the user equipment (UE). The allocation of RBs is based on the opportunistic and efficient RB allocation (OEA) algorithm, whose objective is to maximize the aggregate throughput while being subjected to single-carrier frequency-division multiple-access (SC-FDMA) constraints. An evolution of the algorithm, which is called quality-of-service (QoS)-based OEA, providing QoS differentiation, is also presented. It allocates a given maximum number of RBs to each UE, which is set according to the user's QoS requirements. Once the allocation of RBs is completed, the allocation of the UE transmission power is performed. The transmission power considers the UE channel conditions over its whole allocated RBs. Its value is reduced as much as possible and adjusted such that the user's required QoS satisfies throughput demand previously determined by the RB allocation. The proposed radio resource management algorithm has several interesting properties. It maximizes the aggregate throughput, decreases the ratio of inefficiently allocated RBs, cancels the RB's wastage, and increases the energy efficiency without affecting the user's throughput. Furthermore, the OEA algorithms can be implemented in LTE hardware equipment devices on account of their low computational complexity.

Original languageEnglish
Article number6940312
Pages (from-to)4537-4550
Number of pages14
JournalIEEE Transactions on Vehicular Technology
Volume64
Issue number10
DOIs
Publication statusPublished - 1 Oct 2015

Keywords

  • Energy Efficiency
  • Inter-Cell Interferences
  • Power Control
  • Radio Resource Management
  • Resource Block allocation
  • SC-FDMA

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