DocumentCode :
1058590
Title :
Uplink Power Control in Multi-Cell Spatial Multiplexing Wireless Systems
Author :
Chen, Runhua ; Andrews, Jeffrey G. ; Heath, Robert W. ; Ghosh, Arunabha
Author_Institution :
Texas Instrum. Inc., Dallas
Volume :
6
Issue :
7
fYear :
2007
fDate :
7/1/2007 12:00:00 AM
Firstpage :
2700
Lastpage :
2711
Abstract :
This paper proposes a power control strategy for the uplink of cellular MIMO spatial multiplexing systems, with a linear MMSE receiver applied at the base station and a single active user per time instant. A fixed per-stream SINR target is employed that allows guaranteed QoS for delay-sensitive applications. A straightforward application of single antenna power control is not possible in the MIMO context due to coordination between receive antennas and nonlinear dependence between interference and eigenspaces of the channel matrices. Two schemes are proposed to solve the problem. The first equally allocates power to all transmit antennas. Deriving an SINR lower bound based on an eigenvalue approximation of the composite interference, allows application of the conventional single antenna power control framework to solve this problem. To improve the feasibility performance, a second scheme is proposed that adaptively allocates power on the transmit antennas, where an iterative algorithm based on game theory is used to sequentially update each user´s power distribution. 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 waterfilling strategies, actually achieves higher throughput at the low SINRs typical in cellular systems, with significantly lower overhead and complexity. Due to its better exploitation of spatial diversity and reduced transmit power (and hence reduced interference), adaptive power allocation increases the achievable SINR by an order of magnitude over equal power allocation, resulting in far better coverage.
Keywords :
MIMO communication; channel allocation; eigenvalues and eigenfunctions; game theory; interference (signal); iterative methods; least mean squares methods; power control; quality of service; radio links; radio receivers; transmitting antennas; QoS; SINR target; adaptive power allocation; cellular MIMO spatial multiplexing systems; channel matrices; composite interference; eigenvalue approximation; full channel knowledge; game theory; iterative algorithm; linear MMSE receiver; multicell spatial multiplexing wireless systems; optimal waterfilling strategies; partial channel knowledge; receive antennas; single antenna power control; transmit antennas; uplink power control; Adaptive arrays; Base stations; Delay; Eigenvalues and eigenfunctions; Interference; MIMO; Power control; Receiving antennas; Signal to noise ratio; Transmitting antennas;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2007.051007
Filename :
4275023
Link To Document :
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