Hybrid frequency-time domain proportional fair resource allocation scheme for LTE downlink

Abstract

In this research work, we explored the radio resource allocation schemes used in LTE downlink. We studied the frame and physical resource block (PRB) of LTE both in frequency and time domains. We propose a hybrid proportional fairness scheme (SAMM) which uses proportional fairness (PF) and maximum throughput (MT) schemes in such a way that PF runs for K users in 1st transmission time interval (TTI) and the MT allocates RBs to K-1 users in 2nd TTI. We discard one user who has highest throughput in 1st TTI. Finally we compared round robin, maximum throughput, max-min, proportional fairness, and the proposed scheme using Matlab. Simulation results show that the proposed scheme outperforms the PF for the users with high signal-to-noise ratio and renders 20% increase in sum-throughput at the expense of 19.5% fairness index compared to the PF.

A Machine Learning Approach to Achieving Energy Efficiency in Relay-Assisted LTE-A Downlink System

“…There are several well-known resource allocation schemes for cellular systems, namely, round robin RR, maximize throughput MT, maximize the minimum throughput (max-min), and proportional fairness PF. An improved hybrid MT and PF scheme, SAMM is presented in [4]. We briefly summarize MT, PF, and SAMM, and then present our fairness-aware power and resource allocation algorithm.…”

“…In SAMM [4] PF and MT are run one after the other, i.e., in first TTI PF run for K users and in second TTI MT run for K−1 users ignoring the user with highest throughput in previous TTI. This results in maximizing fairness and throughput alternatively in each TTI.…”

“…The input of the training network comprises of channel state information in terms of the SNR and the output consists of a particular user that maximizes the utility function (throughput for MT and PF metric for the proportional fairness). The training data is obtained from the implementation of SAMM algorithm of [4] as 25,000 K-dimensional samples of received SNR and the corresponding selected users. The dataset is partitioned into three parts, the training dataset, the validation dataset, and the test dataset.…”

“…The RB allocation between direct link that is Base Station (BS)–UE and two hop link that is (BS)–Relay Node (RN)–UE can be done independently or in a shared manner. In [4], the authors have presented a thorough comparison of basic RB allocation schemes, which are Round Robin (RR), Proportional Fairness (PF), Maximum Throughput (MT), and Maximum Minimum (MM); they presented an alternating MT and PF based resource allocation scheme SAMM (abbreviated with Authors’ names) without considering any relay. The paper considered LTE system with a basic RB structure [5], 5 MHz bandwidth with fixed 10 users that are uniformly placed from the BS.…”