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Träfflista för sökning "WFRF:(Mili mohammad Robat) "

Sökning: WFRF:(Mili mohammad Robat)

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1.
  • Eslami, Farzad, et al. (författare)
  • Download Elastic Traffic Rate Optimization via NOMA Protocols
  • 2019
  • Ingår i: IEEE Transactions on Vehicular Technology. - 0018-9545 .- 1939-9359. ; 68:1, s. 713-727
  • Tidskriftsartikel (refereegranskat)abstract
    • Non-orthogonal multiple access (NOMA) is a promising scheme for the fifth generation (5G) of mobile communication systems. In this scheme, transmission to multiple users is performed on the same subchannel using superposition coding and successive interference cancellation. In this paper, we focus on a multi-cell network with two, namely, elastic and streaming, users' data traffic models. We exploit the NOMA scheme in order to maximize the download elastic traffic rate at cells, without degrading the download streaming traffic rates. Since elastic traffic rates at different cells are interactive, we maximize the total elastic traffic rates assuming either perfect or partial channel state information available at each base station subject to a target rate for streaming users. Because of the interference due to NOMA as well as the interference among different cells, subchannel assignment and power allocation affect the system performance significantly. For this reason, we propose an iterative algorithm to jointly solve the subchannel assignment and the power allocation problem via the Hungarian algorithm and successive convex approximation, respectively. Finally, our simulation results show the efficiency of the proposed algorithm.
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2.
  • haghifam, mahdi, et al. (författare)
  • Joint Sum Rate and Error Probability Optimization: Finite Blocklength Analysis
  • 2017
  • Ingår i: IEEE Wireless Communications Letters. - 2162-2345 .- 2162-2337. ; 6:6, s. 726-729
  • Tidskriftsartikel (refereegranskat)abstract
    • We study the tradeoff between the sum rate and the error probability in downlink of wireless networks. Using the recent results on the achievable rates of finite-length codewords, the problem is cast as a joint optimization of the network sum rate and the per-user error probability. We develop an efficient algorithm based on the divide-and-conquer technique to simultaneously maximize the network sum rate and minimize the maximum users’ error probability and to evaluate the effect of the codeword length on the system performance. The results show that, in delay-constrained scenarios, optimizing the per-user error probability plays a key role in achieving high throughput.
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