Paper Info
Title
Optimality Properties, Distributed Strategies, and Measurement-Based Evaluation of Coordinated Multicell OFDMA Transmission
Abstract
The throughput of multicell systems is inherently limited by interference and the available communication resources. Coordinated resource allocation is the key to efficient performance, but the demand on backhaul signaling and computational resources grows rapidly with number of cells, terminals, and subcarriers. To handle this, we propose a novel multicell framework with dynamic cooperation clusters where each terminal is jointly served by a small set of base stations. Each base station coordinates interference to neighboring terminals only, thus limiting backhaul signalling and making the framework scalable. This framework can describe anything from interference channels to ideal joint multicell transmission. The resource allocation (i.e., precoding and scheduling) is formulated as an optimization problem (P1) with performance described by arbitrary monotonic functions of the signal-to-interference-and-noise ratios (SINRs) and arbitrary linear power constraints. Although (P1) is nonconvex and difficult to solve optimally, we are able to prove: 1) optimality of single-stream beamforming; 2) conditions for full power usage; and 3) a precoding parametrization based on a few parameters between zero and one. These optimality properties are used to propose low-complexity strategies: both a centralized scheme and a distributed version that only requires local channel knowledge and processing. We evaluate the performance on measured multicell channels and observe that the proposed strategies achieve close-to-optimal performance among centralized and distributed solutions, respectively. In addition, we show that multicell interference coordination can give substantial improvements in sum performance, but that joint transmission is very sensitive to synchronization errors and that some terminals can experience performance degradations.
Year
DOI
Venue
2011
10.1109/TSP.2011.2165706
IEEE Transactions on Signal Processing
Keywords
DocType
Volume
multicell channel,ideal joint multicell transmission,optimality properties,multicell interference coordination,measurement-based evaluation,coordinated multicell ofdma transmission,performance degradation,efficient performance,sum performance,base station,multicell system,close-to-optimal performance,novel multicell framework,telecommunications,synchronization,interference,ofdm modulation,base stations,resource management,resource manager,precoding,optimization problem,transmitters,monotone function,resource allocation
Journal
abs/1209.2138
Issue
ISSN
Citations 
12
IEEE Transactions on Signal Processing, vol. 59, no. 12, pp. 6086-6101, December 2011
42
PageRank 
References 
Authors
1.64
33
4
Name
Order
Citations
PageRank
Emil Björnson13446171.49
Niklas Jaldén21158.57
Mats Bengtsson31493110.70
Björn E. Ottersten46418575.28