Capacity and Fairness Trade-off in an Outage Situation over Multiuser Diversity Systems

Park, Chung-Woon; Lee, Ho-Jin; Lim, Jong-Tae

doi:10.1109/lcomm.2011.121410.101917

Cited by 4 publications

(11 citation statements)

References 8 publications

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“…It has been demonstrated both practically [1][2][3][4][5][6][7][8] and theoretically [9][10][11][12][13][14][15][16][17][18][19] that employment of adaptive modulation and scheduling leads to substantial performance improvement in multiuser systems, normally called multiuser diversity. Traditionally, the fading is considered as an unreliability source which should be mitigated.…”

Section: Motivationmentioning

confidence: 99%

“…Traditionally, the fading is considered as an unreliability source which should be mitigated. In the multiuser diversity context, however, the channel fading has a positive impact and is helpful for improving the system performance [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. This is because in a system with a number of users experiencing independent fading conditions, it is more likely that at each time instant, one of the users experiences good channel quality.…”

Section: Motivationmentioning

confidence: 99%

“…In a limited-feedback multiuser system, different aspects should be taken into account, among which fairness [9,[15][16][17] is one of the most important ones. As discussed in [20], the users in different locations of a cellular coverage area are subject to distance-dependent path loss that may have more than 30-dB dynamic range.…”

Section: Motivationmentioning

confidence: 99%

“…In the second group, a number of the best remaining users whose absolute SNR passes the threshold send one-bit feedback. The results of [34] were extended in [17], where cases in which none of the users' channel quality exceeds the threshold were specially considered. Furthermore, [35,36] studied the capacity and fairness in multiuser diversity systems under a specific feedback scheme.…”

Section: Literature Reviewmentioning

confidence: 99%

“…(4) Both long-term and semi-instantaneous fairness constraints are addressed with practical scheduling schemes. The fairness schemes are different from the ones considered in [17,[34][35][36][37]. Finally, (5) the results are not restricted to specific schedulers, and the effect of user activation probability and K-significant average feedback bit allocation on the throughput is discussed.…”

Section: Contributionsmentioning

confidence: 99%

See 4 more Smart Citations

Fairness, power allocation, and CSI quantization in block fading multiuser systems

Makki

Eriksson

2013

J Wireless Com Network

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This paper studies the fairness, power allocation, and channel state information (CSI) quantization in multiuser systems utilizing multiple feedback bits per user. For a given set of schedulers, we obtain the system throughput with different power allocation strategies and any combination of different fading distributions. Moreover, the system performance under user different outage probability constraints is investigated. Assuming homogenous users, as a special case, the throughput is determined for fixed and random request networks. Considering nonidentical fading channels between the transmitter and receivers, the throughput is found under the K-significant average feedback bit allocation technique, and two suboptimal fairness schemes are investigated which satisfy different quality-of-service requirements. The results show that using optimal power allocation, the first quantization region (QR) of each user is the only QR for which no power may be allocated. The system outage probability vanishes as the number of users goes to infinity. Users hard outage probability constraints can be satisfied at the cost of one more QR in the channel quantizer. Finally, the proposed fairness schemes are more flexible than the standard proportional fair (PF) scheduling in dealing with the throughput-fairness tradeoff. However, their superiority over PF scheduling depends on the fairness constraint.

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Section: Motivationmentioning

confidence: 99%

Section: Motivationmentioning

confidence: 99%

Section: Motivationmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Contributionsmentioning

confidence: 99%

See 3 more Smart Citations

Fairness, power allocation, and CSI quantization in block fading multiuser systems

Makki

Eriksson

2013

J Wireless Com Network

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Capacity, fairness, and queueing performance analysis of opportunistic scheduling with one-bit feedback

Kim

Hwang

Chong

2018

Computer Communications

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Exact BER Performance Analysis for Downlink NOMA Systems Over Nakagami-$m$ Fading Channels

et al. 2019

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In this paper, the performance of a promising technology for the next generation wireless communications, nonorthogonal multiple access (NOMA), is investigated. In particular, the bit error rate (BER) performance of downlink NOMA systems over Nakagami-m flat fading channels, is presented. Under various conditions and scenarios, the exact BER of downlink NOMA systems considering successive interference cancellation (SIC) is derived. The transmitted signals are randomly generated from quadrature phase shift keying (QPSK) and two NOMA systems are considered; two users' and three users' systems. The obtained BER expressions are then used to evaluate the optimal power allocation for two different objectives, achieving fairness and minimizing average BER. The two objectives can be used in a variety of applications such as satellite applications with constrained transmitted power. Numerical results and Monte Carlo simulations perfectly match with the derived BER analytical results and provide valuable insight into the advantages of optimal power allocation which show the full potential of downlink NOMA systems.

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Capacity and Fairness Trade-off in an Outage Situation over Multiuser Diversity Systems

Cited by 4 publications

References 8 publications

Fairness, power allocation, and CSI quantization in block fading multiuser systems

Fairness, power allocation, and CSI quantization in block fading multiuser systems

Capacity, fairness, and queueing performance analysis of opportunistic scheduling with one-bit feedback

Exact BER Performance Analysis for Downlink NOMA Systems Over Nakagami-$m$ Fading Channels

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