Generalized Modulation and Iterative Demodulation

Schlegel, Christian; Truhachev, Dmitri

doi:10.1109/izs.2008.4497280

Cited by 5 publications

(5 citation statements)

References 11 publications

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“…This amount is proportional to the data-rate and the bandwidth. A realistic model is derived by [46] and [47] as follows where ω, ν, γ, δ ≥ 0 are hardware characterization constants that are specified in Table 2.…”

Section: ) Energy Consumption Of Rcmmentioning

confidence: 99%

Joint Spectrum and Computing Resource Allocation in Fog-Assisted Drone Communications for Ambiental Services

Shams,

Lottici,

Giannetti

2023

IEEE Access

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Fog computing allows for energy-efficient and low-latency offloading of computationally intensive tasks from wireless devices to nearby servers. The integration of this technology in drone communications enables the managing of challenging tasks such as the ones found in remote areas with complex civil protection environments, such as disaster areas and emergency zones. In this paper, we propose a joint resource allocation scheme that optimizes both radio and computational resources for fog-assisted drone communication networks. Each drone decides whether to execute its task locally on its edge node or offload it to a fog node deployed on the base station (BS). Our scalable solution effectively minimizes service latency and energy consumption jointly, while taking into account physicaland application-layer constraints. Specifically, we allocate the CPU frequency capacity of both the local edge node and the remote fog node, as well as link bandwidth. Wireless channels to access the BS are limited, so only the most beneficial drones offload their tasks, while others use their local edge nodes. We formulate the power dissipation of various electronic circuits in the network using practical models. To develop the bi-objective minimization for each drone, we apply the Tchebysheff theorem, which derives the Pareto boundary between the two objectives (service latency and energy consumption). The competition among drones is modeled using the non-cooperative game framework, and the existence and uniqueness of the Nash equilibrium (NE) are proven. NE is computed using an algorithm based on subgradient projection. Numerical results concerning both theoretical aspects and a practical case study are presented to corroborate the efficiency of the proposed solution.

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Section: ) Energy Consumption Of Rcmmentioning

confidence: 99%

Joint Spectrum and Computing Resource Allocation in Fog-Assisted Drone Communications for Ambiental Services

Shams,

Lottici,

Giannetti

2023

IEEE Access

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“…Both of these techniques utilize iterative processing and joint detection; however, they rely on the assumption of perfect channel estimation which is a known issue in any realistic environment. It should be noted that techniques based on generalized modulation and superposition are capable of achieving system loads in excess of 2 bits/s/Hz [7] and can be applied in the satellite environment. Furthermore techniques based on spatial coupling have been proposed to approach the capacity of the multiple access channel [8].…”

Section: B Satellite Random Accessmentioning

confidence: 99%

“…However, [7] shows that if each symbol is duplicated a number of times and modulated onto separate signal waveforms and transmitted at random time intervals within a transmission frame, that ideally, the capacity of the Gaussian multiple access channel can be achieved. The main conceptual difference between the variants of coded slotted Aloha and this approach is that the former duplicates complete packets, where the latter duplicates binary symbols modulated onto different waveforms in conjunction with bit interleaving, and these waveforms are then superposed.…”

Section: B Generalized Modulation / Partitioned Signallingmentioning

confidence: 99%

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Iterative demodulation and channel estimation for joint random access satellite communications

Dickson

Schlegel

2014

2014 8th International Symposium on Turbo Codes and Iterative Information Processing (ISTC)

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Future high-density multiple-user interactive satellite communications is investigated by proposing advancements in receiver design for random access on the uncoordinated satellite up-link. Joint detection and multiple packet reception (MPR) techniques are applied to show that it is possible to surpass the capacity of the current single-user random access channel. This is accomplished through adaptation of the concept of generalized modulation and the use of iterative estimation coupled with advanced interference cancellation techniques.

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“…We consider modulation of information in the form of multiple redundant data streams and apply this technique to interference channels. Several variations of this method have been proposed [17], [18], [10]. Information at each transmitter is encoded as a number of independent binary data streams which are distinguished by random signature sequences and interleavers and are transmitted at different power levels.…”

Section: Introductionmentioning

confidence: 99%

Multi-stream information transmission over K-user interference networks

Truhachev

2010

2010 Information Theory and Applications Workshop (ITA)

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Abstract-In this paper, communication over K-user interference networks is discussed. Each user encodes information as a number of redundant binary data streams which are concurrently transmitted over the channel at various power levels. The reception is performed in two stages: in the first stage, the data streams are separated by an iterative detector; they are individually error-control decoded in the second stage. Conditions for decoding convergence in terms of the density of data streams per power level are formulated. The technique is illustrated through the use of several examples, including one-tomany and many-to-one interference channels. It is proven that optimal degrees of freedom can be achieved for a number of interference channels and channel parameters.

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Generalized Modulation and Iterative Demodulation

Cited by 5 publications

References 11 publications

Joint Spectrum and Computing Resource Allocation in Fog-Assisted Drone Communications for Ambiental Services

Joint Spectrum and Computing Resource Allocation in Fog-Assisted Drone Communications for Ambiental Services

Iterative demodulation and channel estimation for joint random access satellite communications

Multi-stream information transmission over K-user interference networks

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