Resource Allocation in Coordinated Uplink Multicell Multicarrier Systems

We consider joint optimization of transmit power, serving base station cluster (BSC) for coherent reception, beamforming and subcarrier allocation for the uplink channel of a multicell multicarrier system. The objective is to minimize the sum transmit power subject to user-specific rate constraints....

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Veröffentlicht in:IEEE transactions on communications Jg. 61; H. 12; S. 4922 - 4933
Hauptverfasser: Xiaojia Lu, Tölli, Antti, Le-Nam Tran, Juntti, Markku
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.12.2013
Institute of Electrical and Electronics Engineers
Schlagworte:
Applied sciences
Array signal processing
beamforming
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Information, signal and communications theory
Interference
Joints
Loading
multicell coordination
Organization, operation and development plans
Radiocommunications
Resource management
Signal and communications theory
Signal, noise
subcarrier allocation
Sum power minimization
Switching and signalling
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
Uplink
Vectors
Performance evaluation
Base station
Resource allocation
Information rate
Iterative method
Subcarrier
Beam forming
Optimization
Traffic control
Uplink
Lower bound
Flow rate regulation
Multicarrier
Frequency allocation
Teletraffic
Algorithm
Information transmission
Switching
Sum power minimization
Upper bound
Simulation
Power control
Optimal solution
NP hard problem
Resource management
beamforming
multicell coordination
subcarrier allocation
ISSN:0090-6778
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Beschreibung
Zusammenfassung:We consider joint optimization of transmit power, serving base station cluster (BSC) for coherent reception, beamforming and subcarrier allocation for the uplink channel of a multicell multicarrier system. The objective is to minimize the sum transmit power subject to user-specific rate constraints. Since the problem is nonconvex and NP-hard, finding the optimal solution is challenging and not practically appealing. We propose two bit loading algorithms, in which the data rate of users is iteratively increased until the rate targets are satisfied. A joint power control, BSC selection and beamforming design problem with fixed rate allocation per subcarrier is optimally solved in every iteration. A bit switching (BSW) algorithm is further proposed in order to search for better rate allocations. The performances of the proposed algorithms are compared to upper and lower bounds achieved by the capacity-achieving scheme and equal rate allocation over subcarriers (ER), respectively. Simulation results show that proposed algorithms achieve significantly better performance than the ER scheme. The performance gains become larger as the number of users is increased.
ISSN:0090-6778
DOI:10.1109/TCOMM.2013.111013.130029