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Sensors 2016, 16(4), 522; doi:10.3390/s16040522

A Novel Optimal Joint Resource Allocation Method in Cooperative Multicarrier Networks: Theory and Practice

1,2,3,†,* , 1
,
1
,
1
,
1
,
1
,
1
,
2,4,†
and
2,5,*
1
Xichang Satellite Launch Center, Xichang 615000, China
2
State Key Laboratory on Microwave and Digital Communications, National Laboratory for Information Science and Technology, Tsinghua University, Beijing 100084, China
3
China Defense Science and Technology Information Center, Beijing 100030, China
4
The High School Affiliated to Renmin University of China, Beijing 100080, China
5
Naval Aeronautical and Astronautical University, Yantai 264000, China
These authors contributed equally to this work.
*
Authors to whom correspondence should be addressed.
Academic Editor: Yunchuan Sun
Received: 27 December 2015 / Revised: 24 February 2016 / Accepted: 7 April 2016 / Published: 12 April 2016
(This article belongs to the Special Issue Identification, Information & Knowledge in the Internet of Things)
View Full-Text   |   Download PDF [1906 KB, uploaded 12 April 2016]   |  

Abstract

With the increasing demands for better transmission speed and robust quality of service (QoS), the capacity constrained backhaul gradually becomes a bottleneck in cooperative wireless networks, e.g., in the Internet of Things (IoT) scenario in joint processing mode of LTE-Advanced Pro. This paper focuses on resource allocation within capacity constrained backhaul in uplink cooperative wireless networks, where two base stations (BSs) equipped with single antennae serve multiple single-antennae users via multi-carrier transmission mode. In this work, we propose a novel cooperative transmission scheme based on compress-and-forward with user pairing to solve the joint mixed integer programming problem. To maximize the system capacity under the limited backhaul, we formulate the joint optimization problem of user sorting, subcarrier mapping and backhaul resource sharing among different pairs (subcarriers for users). A novel robust and efficient centralized algorithm based on alternating optimization strategy and perfect mapping is proposed. Simulations show that our novel method can improve the system capacity significantly under the constraint of the backhaul resource compared with the blind alternatives. View Full-Text
Keywords: distributed compression; backhaul optimization; user pairing; uplink CoMP; virtual MIMO distributed compression; backhaul optimization; user pairing; uplink CoMP; virtual MIMO
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Gao, Y.; Zhou, W.; Ao, H.; Chu, J.; Zhou, Q.; Zhou, B.; Wang, K.; Li, Y.; Xue, P. A Novel Optimal Joint Resource Allocation Method in Cooperative Multicarrier Networks: Theory and Practice. Sensors 2016, 16, 522.

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