Abstract

Radio Resource Allocation (RRA) in cellular systems is a relevant and difficult task that shouldassign the system resources in the most efficient manner while fulfilling different constraints suchas Quality of Service (QoS). In wireless systems that employ Single Carrier - Frequency DivisionMultiple Access (SC-FDMA) as in Long Term Evolution (LTE) uplink, RRA is even more difficultsince the frequency resources should be assigned in contiguous blocks of subcarriers to eachterminal. In this work we study two important RRA problems in SC-FDMA: the total data ratemaximization and the total data rate maximization with minimum user satisfaction constraints. Weformulate them as optimization problems and show that the optimal solutions are not practical tobe employed in real systems due to the high computational complexity. Therefore, we propose twoefficient heuristic solutions for those problems. By simulation results, we show that both solutionsare near optimal and subject only to small performance degradation compared to the complex andimpractical optimal solutions.

Highlights

  • Mobile networks have experienced an incredible development in the last decades and we are witnessing the commercial deployment of 4th Generation (4G)’s Long Term Evolution (LTE) Release 10 or Long Term Evolution - Advanced (LTE-A)

  • In this article we study two Resource Allocation (RRA) problems in SC-FDMAbased uplink systems that are capable of boosting spectral efficiency and/or guaranteeing Quality of Service (QoS) constraints

  • In this article we study two different RRA problems; we firstly revisit the total data rate maximization or Unconstrained Rate Maximization (URM) problem; and we study the total data rate maximization subject to minimum satisfaction guarantees problem or Constrained Rate Maximization (CRM) in uplink Single Carrier - Frequency Division Multiple Access (SC-FDMA) scenario

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Summary

INTRODUCTION

Mobile networks have experienced an incredible development in the last decades and we are witnessing the commercial deployment of 4th Generation (4G)’s Long Term Evolution (LTE) Release 10 or Long Term Evolution - Advanced (LTE-A). LTE-A networks present several technological advancements that allow for low packet latencies, higher data rates in both downlink and uplink, and support to new multimedia services. Despite these improvements, mobile networks have to cope with a relevant challenge: the steep increase of mobile traffic expected for the years. RRA performed in the uplink of SC-FDMA should comply with an important constraint when assigning frequency resources so as to obtain the advantages in terms of PAPR: the adjacency constraint.

STATE-OF-THE-ART AND MAIN CONTRIBUTIONS
SYSTEM MODELING
PROBLEM FORMULATIONS
CHARACTERIZATION OF THE OPTIMAL SOLUTIONS
LOW-COMPLEXITY HEURISTIC SOLUTIONS
Simulation assumptions
Results
VIII. CONCLUSIONS AND PERSPECTIVES
Computational complexity - optimal solution of URM problem
Computational complexity - optimal solution of CRM problem
Computational complexity - heuristic solution to URM problem
Computational complexity - heuristic solution to CRM problem

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