Throughput Maximization in Buffer-aided Wireless-Powered NOMA Networks

Ren, Jiayu; Lei, Xianfu; Zhou, Fuhui; Diamantoulakis, Panagiotis D.; Dobre, Octavia A.; Karagiannidis, George K.

doi:10.1109/icc40277.2020.9149448

Cited by 3 publications

(2 citation statements)

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“…When comparing the blocking probability of the proposed MUA algorithm for various values of V , it is observed that the range of total input rate for which the blocking probability is approximately equal to zero is increased as the values of the parameter V increases. This was expected since, according to (38), the sum throughput achieved by the MUA algorithm increases as V increases, pushing it within O( 1 V ) to that of the optimal stationary policy. On the other hand, the increase of V leads to an increase of the average total queue backlog, inducing higher packet transmission delays according to the Little's theorem and hence verifying the utility-delay tradeoff.…”

Section: Simulation Resultsmentioning

confidence: 86%

“…However, the use of bufferedsources in uplink NOMA systems has not been sufficiently investigated by existing literature. More specifically, it has been solely considered by [38], [39], within the context of wireless networks with energy harvesting, based on the assumption that instantaneous channel state information is perfectly and globally known, for which outage never occurs. It also deserves to be mentioned that resource allocation is particularly challenging and conventional methods cannot be used to optimize the long-term performance when buffers are used, due to the stochastic and combinatorial nature of the corresponding problems.…”

Section: A State Of the Art And Motivationmentioning

confidence: 99%

See 1 more Smart Citation

Next Generation Multiple Access: Performance Gains From Uplink MIMO-NOMA

Diamantoulakis

Chatzidiamantis

Moustakas

et al. 2022

IEEE Open J. Commun. Soc.

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The use of multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA) based communication protocols is proposed and investigated for the uplink of wireless networks with buffered data-sources, which is the basis of the introduced medium access control (MAC)-layer protocol. To this end, the long-term average throughput is maximized by optimizing the set of users that transmit information at each time slot and their transmit power, the number of packets that are admitted in each user's queue, and the transmission rates, assuming that the instantaneous channel state information is not available at the transmitters. Also, considering a receiver with multiple antennas, two detection techniques are used to mitigate the interference when two users are chosen to simultaneously transmit information in the same resource block, namely successive interference cancellation (SIC) and joint decoding (JD). More specifically, the outage probability for both considered techniques is derived in closed-from, which is a prerequisite for the derivation and the optimization of the throughput. The formulated multi-dimensional long-term stochastic optimization problem is solved by using the Lyapunov framework. Finally, simulation results verify the gains by using MIMO-NOMA as the basis of the next generation multiple access and illustrate the superiority of JD compared to SIC with respect to the number of the receiver's antennas.

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Section: Simulation Resultsmentioning

confidence: 86%

Section: A State Of the Art And Motivationmentioning

confidence: 99%