Adaptive scheduling for MIMO wireless networks: cross-layer approach and application to HSDPA

• Published in: IEEE transactions on wireless communications Vol. 6; no. 1; pp. 259 - 268
• Main Authors: Aniba, G., Aissa, S.
• Format: Journal Article
• Language: English
• Published: Piscataway, NJ IEEE 01-01-2007; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive arrays; Adaptive control systems; Adaptive scheduling; Antennas; Applied sciences; Collision mitigation; Exact sciences and technology; High speed; MIMO; Modulation; Multiaccess communication; Networks; Operations research; Optimal scheduling; Power control; Radiocommunications; Scheduling; Studies; Switching and signalling; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Throughput; Transmission and modulation (techniques and equipments); Transmitting antennas; US Department of Transportation; Wireless communication; Wireless networks; MIMO system; Packet switching; Wireless telecommunication; Adaptive modulation and coding; Information rate; Equity; antenna selection; Downlink; Mapping; Scheduling; Signalling; Information transmission; Adaptive coding; MIMO systems; Transmitting antenna; Power control; cross-layer design; HSDPA; Active filter; Numerical simulation; Uplink; Adaptive modulation; Modulation coding; High rate transmission
• ISSN: 1536-1276; 1558-2248
• DOI: 10.1109/TWC.2007.05162

In this paper, we consider the scheduling problem in multiple-input multiple-output (MIMO) wireless networks. The main important characteristic of an optimal scheduler is to maximize throughput while servicing users in a fair manner. Herein, we formulate MIMO scheduling as a generalized assignment problem (GAP) and propose a general solution for the GAP, namely, a cross-layer MIMO scheduler (CMS), which uses a novel adaptive proportional fairness (APF) mapping approach in conjunction with a new fast transmit antenna selection (FTAS) technique, to determine the set of users to transmit to and the antenna over which the data associated to each user should be transmitted. The proposed scheduler is applied for packet transmission in high-speed downlink packet access (HSDPA), taking advantage of the use of adaptive modulation and coding while coping with the constraints on the maximum number of simultaneous codes a user equipment can support, the limited uplink signalling, and the absence of fast power control. Numerical results show that the proposed CMS provides up to 70% increase in total throughput compared to other scheduling schemes