Distributed detection for cellular CDMA

Chen, Jian Guo; Ansari, Nirwan; Siveski, Z.

doi:10.1049/el:19960101

Cited by 7 publications

(3 citation statements)

References 2 publications

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“…To the best of our knowledge, references [9], [10] are the only works that consider multiple antennas at the FC. In [9], a decision fusion problem with binary symmetric channels between the users and the FC is considered where the data are quantized at the sensors, transmitted over parallel channels, and processed after being received by three antennas. In [10], the authors consider multiple antennas at the FC.…”

Section: Introductionmentioning

confidence: 99%

“…Adding multiple antennas to the FC for distributed detection problems is different when compared to the analysis of conventional MIMO systems for two reasons: (i) the presence of sensing noise (the parameter of interest is corrupted before transmission); and (ii) a large number of sensors enable asymptotic analysis. To the best of our knowledge, references [9], [10] are the only works that consider multiple antennas at the FC. In [9], a decision fusion problem with binary symmetric channels between the users and the FC is considered where the data are quantized at the sensors, transmitted over parallel channels, and processed after being received by three antennas.…”

Section: Introductionmentioning

confidence: 99%

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Distributed detection over fading macs with multiple antennas at the fusion center

Banavar¹,

Smith²,

Tepedelenlioğlu³

et al. 2010

2010 IEEE International Conference on Acoustics, Speech and Signal Processing

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A distributed detection problem over fading Gaussian multiple-access channels is considered. Sensors observe a phenomenon and transmit their observations to a fusion center using the amplify and forward scheme. The fusion center has multiple antennas with different channel models considered between the sensors and the fusion center, and different cases of channel state information are assumed at the sensors. The performance is evaluated in terms of the error exponent for each of these cases, where the effect of multiple antennas at the fusion center is studied. It is shown that for zero-mean channels between the sensors and the fusion center when there is no channel information at the sensors, arbitrarily large gains in the error exponent can be obtained with sufficient increase in the number of antennas at the fusion center. In stark contrast, when there is channel information at the sensors, the gain in error exponent due to having multiple antennas at the fusion center is shown to be no more than a factor of 8/π for Rayleigh fading channels between the sensors and the fusion center, independent of the number of antennas at the fusion center, or correlation among noise samples across sensors. Scaling laws for such gains are also provided when both sensors and antennas are increased simultaneously. Simple practical schemes and a numerical method using semidefinite relaxation techniques are presented that utilize the limited possible gains available. Simulations are used to establish the accuracy of the results. I. INTRODUCTIONSensors are becoming commonplace in factories, environmental, and home appliance monitoring, as well as in scientific study. In many such applications, a number of independent sensors each make a local observation, which are transmitted to a fusion center (FC) after limited initial processing at the sensors, and combined at the FC to calculate a global decision [1]. Sensors may adopt either a digital or an analog method for relaying the sensed information to the FC. The digital method consists of quantizing the sensed data and transmitting the digital data over a rate-constrained channel [2]. In these cases, the required channel bandwidth is quantified by the number of bits being transmitted between the sensors and the FC. In contrast, the analog method consists of amplifying and then forwarding the sensed data to the FC, while respecting a power constraint [3], [4]. The transmissions can be appropriately pulse-shaped and amplitude modulated to consume finite bandwidth. The channels between the sensors and the FC can be orthogonal, in which case, the transmissions from each sensor are separately received at the FC [2]. On the other hand, with multiple-access channels between the sensors and the FC, the noisy sum of all the transmissions are received at the FC to make a decision [3], [5]-[8]. The bandwidth requirements of sensor networks with orthogonal channels scale linearly with the number of sensors, whereas, when the channels are multiple-access, transmissions are simultaneous ...

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Distributed detection over fading macs with multiple antennas at the fusion center

Banavar¹,

Smith²,

Tepedelenlioğlu³

et al. 2010

2010 IEEE International Conference on Acoustics, Speech and Signal Processing

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show abstract

“…When the minimum proba,bility of error criterion is used, for the binary symmetric channel' (BSC) and equiprobable source bits, we have[3] …”

mentioning

confidence: 99%

Performance analysis and realization of decision fusion for macroscopic diversity in cellular wireless systems

Chen

Ansari²,

Siveski³

GLOBECOM 97. IEEE Global Telecommunications Conference. Conference Record

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This paper analyzes the performance of the adaptive fusion method for macroscopic diversity combination in the wireless cellular environment when the error probability information from each base station detection is not available. The performance analysis includes the derivation of the minimum achievable error probability. An alternative realization with lower complexity of the optimal fusion scheme by using selection diversity is also proposed. The selection of the information bit in this realization is obtained either from the most reliable base station or through the majority rule from the participating base stations. The performance comparison in Rayleigh fading and log-normal shadowing shows that this method has much better performance over conventional macroscopic selection diversity.

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Performance of Rake receiver assisted adaptive-modulation based CDMA over frequency selective slow Rayleigh fading channels

et al. 2001

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Distributed detection for cellular CDMA

Cited by 7 publications

References 2 publications

Distributed detection over fading macs with multiple antennas at the fusion center

Distributed detection over fading macs with multiple antennas at the fusion center

Performance analysis and realization of decision fusion for macroscopic diversity in cellular wireless systems

Performance of Rake receiver assisted adaptive-modulation based CDMA over frequency selective slow Rayleigh fading channels

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