Fairness Based Resource Allocation for Multi-User MIMO-OFDM Systems

Morris, Paul; Athaudage, C.R.N.

doi:10.1109/vetecs.2006.1682827

Cited by 20 publications

(19 citation statements)

References 8 publications

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“…PFS in combination with OFDMA is well discussed in the literature, e.g., [27,28]. If, furthermore, different user demands shall be considered, weighted proportional fair scheduling (WPFS) approaches can be http://jwcn.eurasipjournals.com/content/2012/1/207 applied, which are discussed, e.g., in [29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Hybrid adaptive/non-adaptive multi-user OFDMA systems in the presence of user-specific imperfect channel knowledge

Kuehne

Klein

2012

J Wireless Com Network

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In this article, a hybrid multi-user OFDMA scheme which considers different user demands regarding channel access and user-specific imperfect channel quality information (CQI) is analytically described and evaluated. The considered hybrid scheme offers two possible modes to serve the user: firstly, via a non-adaptive mode which applies a discrete Fourier transform precoding to exploit frequency diversity and, thus, does not require any CQI at the transmitter. Secondly, via an adaptive mode which performs an adaptive resource allocation and link adaptation. Since this adaptation to the channel is done based on CQI, the adaptive mode is prone to imperfect CQI which results from estimation errors or time delays. Hence, in case of user-specific imperfect CQI, the question arises which user shall be served adaptively or non-adaptively and which resource shall be allocated to which user such that the system data rate is maximized while fulfilling a certain target bit error rate (BER) and minimum required user data rate. Analytical expressions of the system performance considering imperfect CQI and different user demands are derived. Based on these expressions, algorithms determining which user is served adaptively or non-adaptively subject to the BER and minimum data rate constraints are developed. Simulations show the superiority of the hybrid OFDMA scheme in terms of achievable data rate and user satisfaction compared to conventional pure adaptive and non-adaptive OFDMA schemes in the presence of user-specific imperfect CQI.

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Section: Introductionmentioning

confidence: 99%

Hybrid adaptive/non-adaptive multi-user OFDMA systems in the presence of user-specific imperfect channel knowledge

Kuehne

Klein

2012

J Wireless Com Network

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“…Although, there are several algorithms for multi-user resource allocation, large capacity will be obtained by exploiting the resource allocation algorithm. In [8] and [9], the multi-user proportional fairness (PF) is considered at the resource allocation. The resource allocation scheme in which subcarriers are allocated to the user having larger minimum eigenvalue calculated by singular value decomposition is studied in [10].…”

Section: Introductionmentioning

confidence: 99%

Resource allocation scheme with proportional fairness for multi-user downlink MIMO-OFDMA-CDM systems

Yasuhiro

Okamoto

Iwanami

2009

2009 9th International Symposium on Communications and Information Technology

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In this paper, we propose a new resource allocation scheme that enhances a diversity effect with taking into account a proportional fairness (PF) in downlink MIMO-OFDMA-CDM (multiple input multiple output -orthogonal frequency division multiple access -code division multiplexing) systems. In the proposed scheme, spectral resources are allocated per subcarrier unit and full code-spreading is done for each user using all allocated subcarriers. This maximizes a frequency diversity effect and also enhances a multi-user diversity effect. Furthermore, the subcarrier allocation is based on the PF scheme which is not consider in conventional OFDMA-CDM schemes. The improvement performances of BER and capacity are shown through computer simulations.

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“…In [9], Asyhari et al studied the performance of generalized Cμ-rule implementation in OFDMA systems. Morris and Athaudage investigated the performance of a weighted proportional fair based resource allocation algorithm for OFDMA systems with a frequency-selective broadband channel in [10]. In [11], the OFDM transmission scheme with partial channel state information has been studied.…”

Section: Introductionmentioning

confidence: 99%

Achieving High Frequency Diversity with Subcarrier Allocation in OFDMA Systems

Bai

Chen

Cao

et al. 2008

IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference

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OFDM can provide frequency diversity gain for point-to-point communications over frequency-selective slow fading channel. Recent works show that OFDM may also form a flexible and efficient multiple access method, which is often referred to OFDMA. However, the user outage probability and the optimal frequency diversity gain in OFDMA systems are not known. In this paper, random bipartite graph is used to model and analyse the multi-user subcarrier allocation problem over frequency-selective slow fading channels. Our aim is to minimize the user outage probability as well as guarantee fairness by dynamic allocating various subcarrier to each user. An optimal subcarrier allocation algorithm, which we shall refer to as the Hungarian method with random vertices rotation, is introduced to achieve these objectives. A simple but effective approximation equation for user outage probability is then derived. It is shown that the optimal frequency diversity gain in OFDMA system is the same as the point-to-point OFDM system. In particular, the frequency diversity gain does not decay as the number of users increases.

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Fairness Based Resource Allocation for Multi-User MIMO-OFDM Systems

Cited by 20 publications

References 8 publications

Hybrid adaptive/non-adaptive multi-user OFDMA systems in the presence of user-specific imperfect channel knowledge

Hybrid adaptive/non-adaptive multi-user OFDMA systems in the presence of user-specific imperfect channel knowledge

Resource allocation scheme with proportional fairness for multi-user downlink MIMO-OFDMA-CDM systems

Achieving High Frequency Diversity with Subcarrier Allocation in OFDMA Systems

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