Low complexity user pairing and resource allocation of heterogeneous users for uplink virtual MIMO system over LTE-A network

Virtual Multiple-Input Multiple-Output (MIMO) is a promising uplink technology that can meet the throughput demand of Long-Term Evolution-Advanced (LTE-A) systems. However, the complexity of scheduling virtual MIMO is a challenge; existing virtual MIMO is therefore limited to best effort application...

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Bibliographic Details
Published in:IEEE Wireless Communications and Networking Conference : [proceedings] : WCNC pp. 1903 - 1908
Main Authors: Biswas, Jayeta, Wei Ni, Ren Ping Liu, Collings, Iain B., Jha, Sanjay K.
Format: Conference Proceeding
Language:English
Published: IEEE 01.04.2014
Subjects:
Complexity theory
delay
Delays
LTE-A
MIMO
Quality of service
quality-of-service (QoS)
Resource management
scheduling
Throughput
Uplink
Virtual Multi-user multiple-input multiple-output (MU-MIMO)
ISSN:1525-3511
Online Access:Get full text
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Summary:Virtual Multiple-Input Multiple-Output (MIMO) is a promising uplink technology that can meet the throughput demand of Long-Term Evolution-Advanced (LTE-A) systems. However, the complexity of scheduling virtual MIMO is a challenge; existing virtual MIMO is therefore limited to best effort applications. We investigate the resource allocation and scheduling problem in a heterogeneous virtual MIMO system where delay sensitive applications are present. The goal is to maximize the system throughput while maintaining delay bound for delay sensitive traffic. To tackle the complexity challenge, we propose two low-complexity suboptimal algorithms, where the key idea is to reduce the search space and iteratively minimize the rate loss respectively. Simulation results show that the rate loss minimization based heuristic algorithm converges to within 99% of the optimal throughput on average and maintains delay bound for delay sensitive users. It also achieves almost the same fairness performance as the optimal solution.
ISSN:1525-3511
DOI:10.1109/WCNC.2014.6952560