Nonlinear MIMO: Affordable MIMO Technology for Wireless Sensor Networks

被引:24
作者
Psaltopoulos, Georgios K. [1 ]
Wittneben, Armin [1 ]
机构
[1] ETH, Swiss Fed Inst Technol, Commun Technol Lab, CH-8092 Zurich, Switzerland
关键词
Wireless sensor networks; achievable rates; spatial multiplexing; robustness; nonlinear MIMO; nonlinear receivers; perfect CSIR; noisy CSIR; DESIGN CONSIDERATIONS; ENERGY; RAYLEIGH;
D O I
10.1109/TWC.2010.02.090530
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We consider a sensor network, where an access point (AP) communicates with many sensor nodes (SN), which are simple, cheap, low-complexity and low-power communication nodes. Such systems typically use nonlinear modulation and detection, due to their low power consumption. Increasing their performance by means of multiple antennas at the AP and the SNs has not been considered, since this would violate the stringent power and cost constraints at the SN. We consider SNs with MIMO receivers that perform a nonlinear operation on the complex-valued received signal (amplitude or phase detection). These receivers enjoy the low-cost, low-power, low-complexity characteristics that are crucial for a sensor network. Such nonlinear MIMO systems are first introduced and studied here. They bring the high-rate, high-performance world of MIMO systems and the low-cost, low-complexity world of sensor networks together. We only consider the single-user MIMO system between the AP and one SN, and study the fundamental limits of such systems. We compute achievable rates under perfect and noisy CSI at the SN, and observe that these systems also achieve spatial multiplexing gain, albeit different to legacy linear MIMO systems. We quantify and analyze these gains using numerical means, and give insight into the effect of the nonlinearity on the information theoretic limits of nonlinear MIMO systems.
引用
收藏
页码:824 / 832
页数:9
相关论文
共 27 条
[1]   A survey on sensor networks [J].
Akyildiz, IF ;
Su, WL ;
Sankarasubramaniam, Y ;
Cayirci, E .
IEEE COMMUNICATIONS MAGAZINE, 2002, 40 (08) :102-114
[2]   THE CHANNEL CAPACITY OF DISCRETE-TIME PHASE MODULATION IN AWGN [J].
ALDIS, JP ;
BURR, AG .
IEEE TRANSACTIONS ON INFORMATION THEORY, 1993, 39 (01) :184-185
[3]  
[Anonymous], 38 ANN C INF SCI SYS
[4]  
[Anonymous], 1948, Handbook of Mathematical Functions withFormulas, Graphs, and Mathematical Tables, DOI DOI 10.1119/1.15378
[5]  
[Anonymous], Probability, Random Variables and Stochastic Processes
[6]   METHODS OF SOLVING NOISE PROBLEMS [J].
BENNETT, WR .
PROCEEDINGS OF THE INSTITUTE OF RADIO ENGINEERS, 1956, 44 (05) :609-638
[7]   Experiments with compact antenna arrays for MIMO radio communications [J].
Browne, David W. ;
Manteghi, Majid ;
Fitz, Michael P. ;
Rahmat-Samii, Yahya .
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2006, 54 (11) :3239-3250
[8]   Design considerations for ultra-low energy wireless microsensor nodes [J].
Calhoun, BH ;
Daly, DC ;
Verma, N ;
Finchelstein, DF ;
Wentzloff, DD ;
Wang, A ;
Cho, SH ;
Chandrakasan, AP .
IEEE TRANSACTIONS ON COMPUTERS, 2005, 54 (06) :727-740
[9]   Infinite series representations of the trivariate and quadrivariate Rayleigh distribution and their applications [J].
Chen, YX ;
Tellambura, C .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2005, 53 (12) :2092-2101
[10]   Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks [J].
Cui, SG ;
Goldsmith, AJ ;
Bahai, A .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2004, 22 (06) :1089-1098