Bit and power allocation for MIMO-OFDM systems with spatial mode selection over frequency-space-time-selective channels

Jung, Kyu Won; Park, Chang Soon; Lee, Kwang Bok

doi:10.1109/vetecf.2004.1404695

Cited by 4 publications

References 6 publications

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Coordinated multi-point transmission of MIMO-OFDM system with per-antenna power constraints

Hsu

Krongold

2012

2012 IEEE Global Communications Conference (GLOBECOM)

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This paper describes an efficient approach to discrete rate and power allocation for MIMO-OFDM systems with individual power-constrained antennas. The system is configured with multiple base stations, each with a single transmit antenna, for coordinated multi-point transmissions. The traditional OFDM loading problem can be extended to the MIMO-OFDM case provided that the channel state information between all transmit and receive antennas is known. However, due to unequidistant between coordinated base stations and user terminal, a perantenna average power constraint is more practical than a total average power constraint in order to keep each antenna peak power manageable to avoid low power efficiency of the power amplifier in each antenna. The replacement of the per-antenna power constraint results in a more complex loading optimization problem, and we show it can still be solved efficiently using the dual Lagrange decomposition method. A multidimensional Lagrange search is needed to find the optimal solution and is accomplished via the Ellipsoid Method and the Analytical Center Cutting-Plane Method.

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Coordinated multi-point transmission of MIMO-OFDM system with per-antenna power constraints

Hsu

Krongold

2012

2012 IEEE Global Communications Conference (GLOBECOM)

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Performance of Spatial Division Multiplexing MIMO with Frequency Domain Packet Scheduling: From Theory to Practice

Pokhariyal

Sørensen

Kolding

et al. 2008

IEEE J. Select. Areas Commun.

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This paper addresses the performance of Spatial Division Multiplexing (SDM) Multiple-input Multiple-output (MIMO) techniques together with Frequency Domain Packet Scheduling (FDPS) in both theory and practice. We start with a theoretical analysis under some ideal assumptions to derive the performance bounds of SDM-FDPS. To facilitate the analysis, a unified SINR concept is utilized to make a fair comparison of MIMO schemes with different number of spatial streams. The effect of packet scheduling is included in the post-scheduling SINR distribution using an analytical model. Based on that, the performance bounds are obtained with a more realistic SINR to throughput mapping metric. The system-level performance of SDM-FDPS has been evaluated under practical constraints using detailed simulations based on the UTRAN Long Term Evolution (LTE) downlink cellular system framework. The purpose is to investigate the impact of realistic factors on performance. Results confirm that the combination of SDM and FDPS can increase the spectral efficiency significantly, particularly in a micro-cell scenario, and up to 30%-60% gain is observed over 1x2 with FDPS depending on the traffic models considered. Finally, the more practical simulation results are compared against the theoretical performance bounds. A performance loss is seen in the simulations due to realistic coding/modulation, impact of frequency selectivity, signalling constraints, imperfect channel quality indicator (CQI), etc.

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Joint Spatial Coding and Spatial Multiplexing: Optimal and Suboptimal Criteria

Zhang

et al. 2007

2007 IEEE 66th Vehicular Technology Conference

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Bit and power allocation for MIMO-OFDM systems with spatial mode selection over frequency-space-time-selective channels

Cited by 4 publications

References 6 publications

Coordinated multi-point transmission of MIMO-OFDM system with per-antenna power constraints

Coordinated multi-point transmission of MIMO-OFDM system with per-antenna power constraints

Performance of Spatial Division Multiplexing MIMO with Frequency Domain Packet Scheduling: From Theory to Practice

Joint Spatial Coding and Spatial Multiplexing: Optimal and Suboptimal Criteria

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