Decentralized Wireless Networks: Spread Spectrum Communications Revisited

Moshksar, Kamyar; Khandani, Amir K.

doi:10.1109/tit.2014.2310391

Cited by 4 publications

(4 citation statements)

References 18 publications

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“…Finally, (18) and (23) yield m 2 C(2 − min{ 2τ m ,log(1+aγ )} γ 0 ) as a lower bound on I ( u 0 ; v 0 ). Therefore, any transmission rate R 0 < R * 0 is achievable for SU where R * 0 is given in (14).…”

Section: Decoding Strategies and Developing Achievable Ratesmentioning

confidence: 90%

“…We show how SU can achieve larger rates than R (NND) 0 by matching its decoder to the actual interference plus noise distribution. Invoking entropy power inequality and an upper bound on the differential entropy of a mixed Gaussian random vector in [18], a lower bound is developed on the achievable rate of SU that does not depend on the structure of PU's constellation and only depends on the ratio τ m . This bound is robust to variations in PU's average power γ and is larger than R (NND) 0 for a certain range of system parameters.…”

Section: B Contributionsmentioning

confidence: 99%

“…By (10) and (16), w 0 is a mixed Gaussian vector whose PDF consists of 2 τ Gaussian components. Invoking in [18,Lemma 1],…”

Section: Decoding Strategies and Developing Achievable Ratesmentioning

confidence: 99%

See 2 more Smart Citations

An Alternative to Decoding Interference or Treating Interference as Gaussian Noise

Moshksar

Ghasemi

Khandani

2015

IEEE Trans. Inform. Theory

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This paper addresses the following question regarding Gaussian networks: Is there an alternative to decoding interference or treating interference as Gaussian noise? To state our result, we study a decentralized network of one primary user (PU) and one secondary user (SU) modeled by a two-user Gaussian interference channel. In one scenario, the primary transmitter is constellation-based and PUs codebook is constructed over its modulation signal set. Assuming SU is aware of the constellation points of PU, the interference plus noise at the secondary receiver is modeled by a mixed Gaussian process. We show that SU can achieve larger rates by matching its decoder to the actual interference plus noise compared with the case where the secondary receiver performs nearest neighbor decoding (NND). In another scenario, we assume that PU utilizes a predetermined point-to-point code. We ask if SU can utilize its knowledge about PUs codebook without decoding PUs codewords. The proposed strategy assumes each transmitted codeword of SU overlaps with infinitely many transmitted codewords of PU, referred to as the unequal codeword-length (UCL) strategy. The secondary receiver views PU as a virtual user that is constellation-based and its modulation signal set is the codebook of the actual PU. UCL is compared with other strategies, namely, interference cancellation (IC), joint decoding, and NND. It is shown that UCL can outperform both IC and NND simultaneously.Index Terms-Cognitive radio, constellation-based transmission, decentralized networks, mixed Gaussian interference, unequal codeword-length.

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Section: Decoding Strategies and Developing Achievable Ratesmentioning

confidence: 90%

Section: B Contributionsmentioning

confidence: 99%

See 1 more Smart Citation

An Alternative to Decoding Interference or Treating Interference as Gaussian Noise

Moshksar

Ghasemi

Khandani

2015

IEEE Trans. Inform. Theory

Self Cite

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“…Despite the idea of Spread Spectrum (SS) communications dates back more than one century, this technology is still applied in a wide set of different fields, ranging from satellite positioning, to multiuser mobile communications, to wireless local and personal area networks. SS communications have been recently revisited, in the framework of decentralized wireless networks [1] comprising several separate transmitter-receiver pairs, where users treat each other as noise, and there is no central controller, as it happens in traditional uplink/downlink multiuser systems, to assign the resources to them. New Medium Access Control (MAC) protocols are also being investigated [2], to support emerging communication technologies and paradigms, such as the Internet of Things (IoT).…”

Section: Introductionmentioning

confidence: 99%

Full-length non-linear binary sequences with Zero Correlation Zone for multiuser communications

Sarayloo

Gambi

Spinsante

2022

Int. j. commun. netw. inf. secur.

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The research on new sets of sequences to be used asspreading codes in multiple user communications is still an activearea, despite the great amount of literature available since manyyears on this topic. In fact, new paradigms like dense anddecentralized wireless networks, where there is no centralcontroller to assign the resources to the nodes, are revamping theinterest on large sets of sequences providing adequate correlationproperties to support a big number of nodes, in potentially hostilechannels. This paper focuses on the Zero Correlation Zone (ZCZ)property exhibited by a family of non-linear binary sequencesfeaturing a great cardinality of their set and good securityrelatedfeatures, and provides evidence of their suitability tomultiuser communications, in channels affected by multipath.

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Throughput Optimization of IoT System in Disaster Scenario Based on Reinforcement Learning

Wu¹,

Wang³

2023

2023 International Wireless Communications and Mobile Computing (IWCMC)

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Decentralized Wireless Networks: Spread Spectrum Communications Revisited

Cited by 4 publications

References 18 publications

An Alternative to Decoding Interference or Treating Interference as Gaussian Noise

An Alternative to Decoding Interference or Treating Interference as Gaussian Noise

Full-length non-linear binary sequences with Zero Correlation Zone for multiuser communications

Throughput Optimization of IoT System in Disaster Scenario Based on Reinforcement Learning

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