Power Control for Cellular MIMO Systems

Authors:

Runhua Chen, Jeffrey G. Andrews, Robert W. Heath, Jr., and Arunabha Ghosh

Reference:

Submitted to IEEE Global Telecommunications Conference, San Francisco, CA, Dec. 2006.

Abstract:

Power control is an important technique for interference management in interference-limited multiuser communication systems. In this paper, we propose a novel multi-dimensional power control technique for the uplink of cellular MIMO systems. Similar to prior single antenna power control work, we employ a fixed SINR target that allows guaranteed quality-of-service for delay-sensitive data applications. The proposed power control scheme is a more general technique because it incorporates single antenna, orthogonal multi-carrier, and utility-based power control schemes as special cases. Two approaches are proposed, the first where each user's power is equally allocated to its antenna array, in the second the allocation is adaptive. The optimal solution with full channel knowledge, and a practical near-optimal solution requiring only partial channel knowledge, are both derived. Numerical results show that power control actually achieves substantially higher throughput at the low SINRs typical in cellular systems, compared to supposedly optimal water-filling strategies, with significantly lower overhead and complexity. This paper proposes a novel multi-dimensional power control technique for the uplink of cellular MIMO systems. Similar to prior power control work for single-antenna systems, we employ a fixed SINR target that allows guaranteed quality-of-service for delay-sensitive data applications. We propose two approaches, the first where each user's power is equally allocated to its antenna array, in the second the allocation is adaptive. The optimal solution with full channel knowledge, and a practical near-optimal solution requiring only partial channel knowledge, are both derived. Numerical results show that power control, compared to supposedly optimal water-filling strategies, actually achieves substantially higher throughput at the low SINRs typical in cellular systems, with significantly lower overhead and complexity. Specifically, our results show substantially better throughput improvement at low-to-moderate SINRs compared to the well-known iterative water-filling approach. In the higher SINR ranges, iterative water-filling indeed slightly outperforms adaptive power allocation. Due to its better exploitation of spatial diversity and reduced transmit power (and hence reduced other-cell interference), adaptive power allocation increases the achievable SINR by an order of magnitude over equal power allocation, resulting in far better coverage.


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