Resource Allocation in Spectrum-Sharing OFDMA Femtocells With Heterogeneous Services

Femtocells are being considered a promising technique to improve the capacity and coverage for indoor wireless users. However, the cross-tier interference in the spectrum-sharing deployment of femtocells can degrade the system performance seriously. The resource allocation problem in both the uplink...

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Veröffentlicht in:IEEE transactions on communications Jg. 62; H. 7; S. 2366 - 2377
Hauptverfasser: Haijun Zhang, Chunxiao Jiang, Beaulieu, Norman C., Xiaoli Chu, Xiangming Wen, Meixia Tao
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.07.2014
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Allocations
Applied sciences
Cellular communication
Computational efficiency
Educational institutions
Exact sciences and technology
Femtocells
Information, signal and communications theory
Integer programming
Interference
Macrocell networks
Multiplexing
Operation, maintenance, reliability
Optimization
Programming
Quality of service
Resource allocation
Resource management
Signal and communications theory
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
Uplink
resource allocation
OFDMA
femtocell
Convex optimization
heterogeneous services
Performance evaluation
Wireless telecommunication
Resource allocation
Decomposition method
Frequency division multiple access
Downlink
Updating
Iterative method
Power allocation
Convex programming
Indoor installation
User service
Delay time
Uplink
Mixed integer programming
Coverage
Resource sharing
Algorithm
Channel allocation
Orthogonal frequency division multiplexing
Service quality
ISSN:0090-6778, 1558-0857
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Zusammenfassung:Femtocells are being considered a promising technique to improve the capacity and coverage for indoor wireless users. However, the cross-tier interference in the spectrum-sharing deployment of femtocells can degrade the system performance seriously. The resource allocation problem in both the uplink and the downlink for two-tier networks comprising spectrum-sharing femtocells and macrocells is investigated. A resource allocation scheme for cochannel femtocells is proposed, aiming to maximize the capacity for both delay-sensitive users and delay-tolerant users subject to the delay-sensitive users' quality-of-service constraint and an interference constraint imposed by the macrocell. The subchannel and power allocation problem is modeled as a mixed-integer programming problem, and then, it is transformed into a convex optimization problem by relaxing subchannel sharing; finally, it is solved by the dual decomposition method. Subsequently, an iterative subchannel and power allocation algorithm considering heterogeneous services and cross-tier interference is proposed for the problem using the subgradient update. A practical low-complexity distributed subchannel and power allocation algorithm is developed to reduce the computational cost. The complexity of the proposed algorithms is analyzed, and the effectiveness of the proposed algorithms is verified by simulations.
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ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2014.2328574