Joint State Estimation and Communication Over a State-Dependent Gaussian Multiple Access Channel

Ramachandran, Viswanathan; Pillai, Sibi Raj B.; Prabhakaran, Vinod M.

doi:10.1109/tcomm.2019.2932069

Cited by 10 publications

(7 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Relevant works include [ 23 ] (see also [ 24 ]), which investigated joint estimation and message communication over a Gaussian broadcast channel (BC) without state-dependence and derived a complete characterization of the trade-off between achievable rates and estimation errors. In [ 25 ], communication and state estimation were studied in a multiple access setting without fading, and the distortion-rate trade-off region was characterized. In [ 26 ], a state-dependent Gaussian BC with the dual goals of amplifying the channel state at one of the receivers while masking it [ 27 ] from the other receiver (with no message transmissions) was investigated, and achievable coding schemes, as well as outer bounds, were derived.…”

Section: Literature Reviewmentioning

confidence: 99%

“… Our framework naturally generalizes the results of [ 35 ] to multiple users, ref. [ 25 ] to fading links and the work of [ 20 ] to fading links with multiple users, thereby providing a unified framework that encompasses all these prior works on joint communication and estimation. Our study gives a network information-theoretic analysis of the fundamental performance limits of joint sensing and communication systems that take into account practical limitations such as fading.…”

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Lossy State Communication over Fading Multiple Access Channels

Ramachandran

2023

Entropy

Self Cite

View full text Add to dashboard Cite

Joint communications and sensing functionalities integrated into the same communication network have become increasingly relevant due to the large bandwidth requirements of next-generation wireless communication systems and the impending spectral shortage. While there exist system-level guidelines and waveform design specifications for such systems, an information-theoretic analysis of the absolute performance capabilities of joint sensing and communication systems that take into account practical limitations such as fading has not been addressed in the literature. Motivated by this, we undertake a network information-theoretic analysis of a typical joint communications and sensing system in this paper. Towards this end, we consider a state-dependent fading Gaussian multiple access channel (GMAC) setup with an additive state. The state process is assumed to be independent and identically distributed (i.i.d.) Gaussian, and non-causally available to all the transmitting nodes. The fading gains on the respective links are assumed to be stationary and ergodic and available only at the receiver. In this setting, with no knowledge of fading gains at the transmitters, we are interested in joint message communication and estimation of the state at the receiver to meet a target distortion in the mean-squared error sense. Our main contribution here is a complete characterization of the distortion-rate trade-off region between the communication rates and the state estimation distortion for a two-sender GMAC. Our results show that the optimal strategy is based on static power allocation and involves uncoded transmissions to amplify the state, along with the superposition of the digital message streams using appropriate Gaussian codebooks and dirty paper coding (DPC). This acts as a design directive for realistic systems using joint sensing and transmission in next-generation wireless standards and points to the relative benefits of uncoded communications and joint source-channel coding in such systems.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Lossy State Communication over Fading Multiple Access Channels

Ramachandran

2023

Entropy

Self Cite

View full text Add to dashboard Cite

show abstract

“…. , B + 1}, where we assume that the Tx has previously produced the random indices ,v ] simultaneously satisfying Condition (23) on top of the next page, and if b > 2 also Condition (24) on the next page, where P U0U1U2X1V1Z1 and P U0U1U2X1V2Z1 denote the marginals of the joint pmf in (21). If there is exactly one triple ( ĵ2 , ŵ2 , j * 1 ) satisfying these two conditions (or the single condition ( 23) Decoding in block B + 1 is as follows.…”

Section: A Operations At Tx 1 (Operations At Tx 2 Are Analogous)mentioning

confidence: 99%

Coding for Sensing: An Improved Scheme for Integrated Sensing and Communication over MACs

Mehrasa¹,

Wigger²,

Kobayashi³

2022

Preprint

View full text Add to dashboard Cite

A memoryless state-dependent multiple-access channel (MAC) is considered, where two transmitters wish to convey their messages to a single receiver while simultaneously sensing (estimating) the respective states via generalized feedbacks. For this channel, an improved inner bound is provided on the fundamental rate-distortions tradeoff which characterizes the communication rates the transmitters can achieve while simultaneously ensuring that their state-estimates satisfy desired distortion criteria. The new inner bound is based on a scheme where each transmitter codes over the generalized feedback so as to improve the state estimation at the other transmitter. This is in contrast to the schemes proposed for point-to-point and broadcast channels where coding is used only for the transmission of messages and the optimal estimators operate on a symbol-bysymbol basis on the sequences of channel inputs and feedback outputs.

show abstract

“…Networked systems (NSs) consist of several interconnected subsystems, which are connected via the shared communication channel (CC) [15][16][17]. On the one hand, NSs have some excellent advantages, for instances, low installation and maintain costs, simplification of system wiring, high system flexibility, and so on [18][19][20]. On the other hand, there existing phenomenons of packet dropout and transmission delay, which is caused by the network bandwidth and the packet size constraints [21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Impulsive State Estimation for Nonlinear Systems with Redundant Communication Channels and Markov Delay

Rao¹,

Guo²,

Kuang³

et al. 2021

Preprint

View full text Add to dashboard Cite

The state estimation issue for the discrete-time nonlinear systems with Markov delay is investigated in this paper, where the redundant communication channel is considered to ensure the reliability of transmission. Because the channel capacity is limited, the packet dropout conditions of the main channel and the redundant channel are described by the Bernoulli stochastic variables. In addition, a mode-dependent estimator is proposed based on the current state and the delayed state, simultaneously. Combining with the impulsive control strategy, the efficiency of estimator is improved. An augmented estimation error system is proposed to deal with the Markov delay in the nonlinear system, subsequently, a sufficient condition that ensures the asymptotic stability of the augmented error system is obtained by a constructed Lyapunov functional candidate and the gains of the impulsive estimator are derived. Finally, a numerical example of moving vehicle is utilized to illustrate the developed results.

show abstract

Joint State Estimation and Communication Over a State-Dependent Gaussian Multiple Access Channel

Cited by 10 publications

References 33 publications

Lossy State Communication over Fading Multiple Access Channels

Lossy State Communication over Fading Multiple Access Channels

Coding for Sensing: An Improved Scheme for Integrated Sensing and Communication over MACs

Impulsive State Estimation for Nonlinear Systems with Redundant Communication Channels and Markov Delay

Contact Info

Product

Resources

About