Wireless Networks With Retransmission Diversity and Carrier-Sense Multiple Access

Sámano‐Robles, Ramiro; Ghogho, Mounir; McLernon, Des

doi:10.1109/tsp.2009.2021455

Cited by 22 publications

(18 citation statements)

References 19 publications

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“…This fact produces that, although the throughput of FF-NDMA is always lower than the one of H-NDMA, the energy efficiency can be boosted with FF-NDMA in certain situations (see (29) …”

Section: Remarkmentioning

confidence: 99%

“…Different cases are considered to assess the importance of transmit and receive diversity through multi-antenna terminals: 1×1 (i.e., M=N=T=Q=1), 1×2 (i.e., M= T=Q=1 and N=2), 2×2 MIMO with Alamouti OSTBC (i.e., M=N=T=Q=2), and 2×4 MIMO with Alamouti OSTBC (i.e., M=T=Q=2 and N=4). Figure 10 shows the energy efficiency of FF-NDMA in (29) and of ideal H-NDMA (d retx =0) as a function of the average SNR (γ ) for G=10 packets/slot, P 1 =200 mW and P 2 =150 mW. It can be observed that equipping the BS with multiple antennas and exploiting receive diversity provides more EE gains than employing multiple antennas at devices.…”

Section: Impact Of Antenna Configurationsmentioning

confidence: 99%

“…Stability analysis of NDMA was addressed in [28][29][30]. Finally, the hybrid automatic repeat request (HARQ) concept was applied to NDMA in [31] (named H-NDMA) in order to deal with reception errors at low/medium SNR by forcing devices involved in a collision of P devices to transmit repetitions more than P−1 times.…”

Section: Introductionmentioning

confidence: 99%

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Performance analysis of feedback-free collision resolution NDMA protocol

Lagén

Agustín

Vidal

et al. 2018

J Wireless Com Network

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To support communications of a large number of deployed devices while guaranteeing limited signaling load, low energy consumption, and high reliability, future cellular systems require efficient random access protocols. However, how to address the collision resolution at the receiver is still the main bottleneck of these protocols. The network-assisted diversity multiple access (NDMA) protocol solves the issue and attains the highest potential throughput at the cost of keeping devices active to acquire feedback and repeating transmissions until successful decoding. In contrast, another potential approach is the feedback-free NDMA (FF-NDMA) protocol, in which devices do repeat packets in a pre-defined number of consecutive time slots without waiting for feedback associated with repetitions. Here, we investigate the FF-NDMA protocol from a cellular network perspective in order to elucidate under what circumstances this scheme is more energy efficient than NDMA. We characterize analytically the FF-NDMA protocol along with the multipacket reception model and a finite Markov chain. Analytic expressions for throughput, delay, capture probability, energy, and energy efficiency are derived. Then, clues for system design are established according to the different trade-offs studied. Simulation results show that FF-NDMA is more energy efficient than classical NDMA and HARQ-NDMA at low signal-to-noise ratio (SNR) and at medium SNR when the load increases.

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“…This fact produces that, although the throughput of FF-NDMA is always lower than the one of H-NDMA, the energy efficiency can be boosted with FF-NDMA in certain situations (see (29) …”

Section: Remarkmentioning

confidence: 99%

Section: Impact Of Antenna Configurationsmentioning

confidence: 99%

See 1 more Smart Citation

Performance analysis of feedback-free collision resolution NDMA protocol

Lagén

Agustín

Vidal

et al. 2018

J Wireless Com Network

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“…Differentiating the objective function in (19) we obtain a set of equations given by i µ i ∂Fi ∂p k = 0, k = 1.., J. Assuming J ≥ I, the solution of a subset S o of I of these linear equations independent from the values of the weighting factors µ k can be proved, in our context, to be equivalent to setting the following Jacobian determinant to zero [25] [24]:…”

Section: Consider the Vector R = [R S]mentioning

confidence: 99%

Multi-objective and Financial Portfolio Optimization of Carrier-Sense Multiple Access Protocols with Cooperative Diversity

Sámano‐Robles¹,

Gameiro

2015

Multiple Access Communications

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This paper presents a trade-off design and optimization of a class of wireless carrier-sense multiple access protocols where collision-free transmissions are assisted by the potential cooperative retransmissions of inactive terminals with a correct copy of the original transmission. Terminals are enabled with a decode-and-forward relaying protocol. The analysis is focused on asymmetrical settings, where terminals experience different channel and queuing statistics. This work is based on multi-objective and financial portfolio optimization tools. Each packet transmission is thus regarded not only as a network resource, but also as a financial asset with different values of return and risk (or variance of the return). The objective of this financial optimization is to find the transmission policy that simultaneously maximizes return and minimizes risk in the network. The work is focused on the characterization of the boundaries (envelope) of different types of trade-off performance regions: the conventional throughput region, sum-throughput vs. fairness, sum-throughput vs. power, and return vs. risk regions. Fairness is evaluated by means of the Gini-index, which is a metric commonly used in economics to measure income inequality. Transmit power is directly linked to the global transmission rate. The protocol is shown to outperform non-cooperative solutions under different network conditions that are here discussed. Abstract. This paper addresses a trade-off design and optimization of a class of wireless carrier-sense multiple access (CSMA) protocols where collision-free transmissions are assisted by the potential cooperative retransmissions of inactive terminals with a correct copy of the original transmission. Terminals are enabled with a decode-and-forward (DF) relaying protocol. The analysis is focused on asymmetrical settings, where terminals explicitly experience different channel and queuing statistics. This work is based on multi-objective and financial portfolio optimization tools. Each packet transmission is thus considered not only as a network resource, but also as a financial asset with different values of return and risk (or variance of the return). The objective of this financial optimization is to find the transmission policy that simultaneously maximizes return and minimizes risk in the network. The work is focused on the characterization of the boundaries (envelope) of different types of trade-off performance regions: the conventional throughput region, sumthroughput vs. fairness, sum-throughput vs. power, and return vs. risk regions. Fairness is evaluated by means of the Gini-index, which is a metric commonly used in economics to measure income inequality. Transmit power is directly linked to the global transmission rate. The protocol is shown to outperform non-cooperative solutions under different network conditions that are discussed in detail in the main body of the paper. Multi

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“…Therefore, a new approach for a more accurate design and modeling of random access protocols in modern wireless networks is required. In the literature of conventional random access protocols, considerable advances in these aspects have been recently made using the concept of cross-layer design [18][19][20][21][22][23][24][25][26]. The objective of this chapter is to use two of these recent cross-layer solutions and modeling approaches to improve the performance of RFID.…”

Section: Open Issues and Chapter Objectivesmentioning

confidence: 99%