Title :
Sub-Modularity and Antenna Selection in MIMO Systems
Author :
Vaze, Rahul ; Ganapathy, Harish
Author_Institution :
Sch. of Technol. & Comput. Sci., Tata Inst. of Fundamental Res., Mumbai, India
fDate :
9/1/2012 12:00:00 AM
Abstract :
In this paper, we show that the optimal receive antenna subset selection problem for maximizing the mutual information in a point-to-point MIMO system is sub-modular. Consequently, a greedy step-wise optimization approach, where at each step, an antenna that maximizes the incremental gain is added to the existing antenna subset, is guaranteed to be within a (1-1/e)-fraction of the global optimal value independent of all parameters. For a single-antenna-equipped source and destination with multiple relays, we show that the relay antenna selection problem to maximize the mutual information is modular and a greedy step-wise optimization approach leads to an optimal solution.
Keywords :
MIMO communication; antenna arrays; optimisation; antenna selection; mutual information; optimal receive antenna subset selection problem; optimization; point-to-point MIMO system; relay antenna selection problem; single-antenna-equipped source; submodularity selection; Greedy algorithms; MIMO; Mutual information; Receiving antennas; Relays; Transmitting antennas; MIMO systems; antenna selection; greedy algorithms; sub-modular functions;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2012.070512.120912