Efficient Scheduling Algorithms for Multiantenna CDMA Systems

In multiple-input-multiple-output (MIMO) multiuser systems, simultaneously serving multiple users achieves high data rates. However, high-performance transmit beamforming requires an adequately designed user-selection scheme. Optimal scheduling can be only obtained through a high computationally com...

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Vydáno v:IEEE transactions on vehicular technology Ročník 61; číslo 2; s. 521 - 532
Hlavní autoři: Driouch, E., Ajib, W.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York, NY IEEE 01.02.2012
Institute of Electrical and Electronics Engineers
Témata:
Access methods and protocols, osi model
Applied sciences
Base stations
Coding, codes
Color
Complexity theory
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Graph coloring
Information, signal and communications theory
MIMO
Multiaccess communication
multiple-input-multiple-output (MIMO) code-division multiple-access (CDMA) systems
scheduling
Scheduling algorithm
Signal and communications theory
Signal, noise
Systems, networks and services of telecommunications
tabu search (TS)
Telecommunications
Telecommunications and information theory
Teleprocessing networks. Isdn
Transmission and modulation (techniques and equipments)
Vectors
zero-forcing beamforming (ZFBF)
Access control
tabu search (TS)
Wireless telecommunication
Beam forming
Theoretical model
Tabu search
Coding
Selection criterion
Optimal planning
Antenna
High rate transmission
zero-forcing beamforming (ZFBF)
MIMO system
Multiple access
High performance
multiple-input-multiple-output (MIMO) code-division multiple-access (CDMA) systems
Scheduling
Graph theory
Graph coloring
Algorithm performance
Code division multiple access
Heuristic method
Greedy algorithm
Subgraph
Graph colouring
ISSN:0018-9545, 1939-9359
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Popis
Shrnutí:In multiple-input-multiple-output (MIMO) multiuser systems, simultaneously serving multiple users achieves high data rates. However, high-performance transmit beamforming requires an adequately designed user-selection scheme. Optimal scheduling can be only obtained through a high computationally complex exhaustive search, and hence, low-complexity heuristic algorithms are required. In addition, employing a multiple-access scheme such as code division (CDMA) largely increases the complexity of optimal scheduling, and it becomes unemployable even for a moderate number of users and antennas. In this context, this paper proposes three heuristic scheduling algorithms for MIMO CDMA systems using zero-forcing beamforming (ZFBF). We use a graph-theoretical approach to model the system as a weighted undirected graph. The problem of user selection is then formulated as a graph coloring problem, namely, the maximum weight N -colorable subgraph problem. Then, we design two heuristics to solve this graph problem. The first algorithm is a low-complexity greedy algorithm. The second algorithm is based on a tabu search approach to resolve efficiently the complexity/performance tradeoff. Numerical and simulation results show the sub-optimal performances and robustness of the proposed low-complexity algorithms.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2011.2178622