4 publications found
Tharaka Samarasinghe, Jussi Haapola
Conference
IEEE Transactions on Intelligent Transportation Systems , vol. 24(12) , pp. 15328-15333 · 2023 · Cited by 7
Wireless CommunicationsMobile and Next-Generation NetworksIntelligent Transportation Systems
Abstract
Prioritization of data streams in cellular vehicle-to-everything (C-V2X) may lead to unfavorable packet delays in low-priority streams. This paper studies allocating multiple candidate single-subframe resources (CSRs) per vehicle as a solution. It proposes a methodology to determine the number of CSRs for each vehicle based on the total number of neighboring vehicles, and to assign the multiple data streams among them for simultaneous transmission. The numerical results highlight the achievable delay gains of the proposed approach, and its negligible impact on packet collisions.
Samiru Gayan, Hazer Inaltekin, Rajitha Senanayake, Jamie S. Evans
Journal
IEEE Open Journal of the Communications Society , vol. 4 , pp. 2578-2595 · 2023 · Cited by 6
Wireless CommunicationsCommunication Theory and Coding
Abstract
This paper proposes a novel approach that utilizes differential encoding to overcome the channel estimation problem in communication systems with low-resolution quantization receivers. For differentially encoded data, we derive the maximum likelihood detection rule for the canonical block-2 detectors, employing just two consecutive quantized observations at the channel output and without any receiver-side channel state information. We establish the optimality of this maximum likelihood detection rule within the class of block- detectors, where , under the condition that , with and denoting the number of quantization bits and input alphabet size, respectively. The derived detector has a simple and easily implementable structure, comparing the quantization region indices of consecutive observations to determine the transmitted message index. By leveraging the structure of the derived optimum …
Samiru Gayan, Hazer Inaltekin, Rajitha Senanayake, Jamie S. Evans
Conference
ISIT 2023 IEEE International Symposium on Information Theory (ISIT) , pp. 2553-2558 · 2023 · Cited by 1
Wireless CommunicationsCommunication Theory and Coding
Abstract
This paper derives the optimum detection rule for communication systems with n-bit phase quantization when data is differentially encoded at the transmitter. The proposed approach avoids the channel estimation problem at the receiver. First, a maximum likelihood detection rule for block-2 detectors utilizing only two consecutive quantized observations at the channel output is obtained. Second, it is shown that the derived maximum likelihood detection rule continues to be optimum for the class of block-L detectors for L ≥ 3 when n = log 2 M, where M is the input alphabet size. Finally, utilizing the structure of the derived optimum detector, a message error probability expression is obtained for Rayleigh fading wireless channels. A simulation study is performed to illustrate the performance of the optimum detectors as well as the performance loss due to the lack of channel knowledge at the receiver. The proposed …
Chamath Divarathne, Tharaka Samarasinghe, Sithamparanathan Kandeepan, Ke Wang
Conference
APCC 2023 28th Asia Pacific Conference on Communications (APCC) , pp. 279-284 · 2023 · Cited by 1
Wireless CommunicationsNetwork Optimization and Intelligence
Abstract
Dynamic spectrum access is recognized as a potential solution to the problem of spectrum scarcity. Consequently, a significant amount of research has been conducted on spectrum allocation. In this study, we present a multi-traffic class queue-based spectrum allocation solution. The proposed solution is designed for a scenario where communication and other systems do not necessarily require agility in the frequency bands they operate in. The spectrum sensing and forecasting processes are carried out over relatively long time periods compared to the actual transmission rates. The study considers two traffic classes: priority and non-priority. Three packet handling strategies are presented and their average queuing delay performances are compared. While all three strategies yield satisfactory results under low/medium traffic conditions, Strategy 3 exhibits the greatest flexibility in terms of delay performance …