Energy-efficiency for MISO-OFDMA based user-relay assisted cellular networks

The concept of improving energy-efficiency (EE) without sacrificing the service quality has become important nowadays. The combination of orthogonal frequency-division multiple-access (OFDMA) multi-antenna transmission technology and relaying is one of the key technologies to deliver the promise of reliable and high-data-rate coverage in the most cost-effective manner. In this paper, EE is studied for the downlink multiple-input single-output (MISO)-OFDMA based user-relay assisted cellular networks. EE maximization is formulated for decode and forward (DF) relaying scheme with the consideration of both transmit and circuit power consumption as well as the data rate requirements for the mobile users. The quality of-service (QoS)-constrained EE maximization, which is defined for multi-carrier, multi-user, multi-relay and multi-antenna networks, is a non-convex and combinatorial problem so it is hard to tackle. To solve this difficult problem, a radio resource management (RRM) algorithm that solves the subcarrier allocation, mode selection and power allocation separately is proposed. The efficiency of the proposed algorithm is demonstrated by numerical results for different system parameter

Iterative channel estimation techniques for multiple input multiple output orthogonal frequency division multiplexing systems

Thesis (Master)--Izmir Institute of Technology, Electronics and Communication Engineering, Izmir, 2007Includes bibliographical references (leaves: 77-78)Text in English; Abstract: Turkish and Englishxii, 78 leavesOrthogonal frequency division multiplexing (OFDM) is well-known for its efficient high speed transmission and robustness to frequency-selective fading channels. On the other hand, multiple-input multiple-output (MIMO) antenna systems have the ability to increase capacity and reliability of a wireless communication system compared to single-input single-output (SISO) systems. Hence, the integration of the two technologies has the potential to meet the ever growing demands of future communication systems. In these systems, channel estimation is very crucial to demodulate the data coherently. For a good channel estimation, spectral efficiency and lower computational complexity are two important points to be considered. In this thesis, we explore different channel estimation techniques in order to improve estimation performance by increasing the bandwidth efficiency and reducing the computational complexity for both SISO-OFDM and MIMO-OFDM systems. We first investigate pilot and Expectation-Maximization (EM)-based channel estimation techniques and compare their performances. Next, we explore different pilot arrangements by reducing the number of pilot symbols in one OFDM frame to improve bandwidth efficiency. We obtain the bit error rate and the channel estimation performance for these pilot arrangements. Then, in order to decrase the computational complexity, we propose an iterative channel estimation technique, which establishes a link between the decision block and channel estimation block using virtual subcarriers. We compare this proposed technique with EM-based channel estimation in terms of performance and complexity. These channel estimation techniques are also applied to STBC-OFDM and V-BLAST structured MIMO-OFDM systems. Finally, we investigate a joint EM-based channel estimation and signal detection technique for V-BLAST OFDM system

Energy-efficient communication for user-relay aided cellular networks with OFDMA

The dramatic increase of mobile devices and mobile subscriptions for delay-sensitive high-rate multimedia services has caused rapidly rising energy consumption, which is a big problem for the next generation wireless networks. It is urgent to find solutions that can satisfy the high data rate quality of service (QoS) requirements from users and obtain high energy-efficiency (EE) for the network at the same time. In this paper, energy-efficient communication is investigated for the orthogonal frequency-division multiple-access (OFDMA) based user-relay aided cellular networks that is envisioned as a promising technology to unlock the full potential of 5G networks. The EE maximization problem is formulated for dual-hop user-relay aided downlink cellular networks. Decode-and-forward (DF) relaying strategy is used by considering the QoS constraints. Since the formulated problem is a mixed-integer non-linear programming problem (MINLP) that is difficult to solve for multi-carrier, multi-user, multi-relay networks, a two-stage radio resource management solution is proposed to tackle the problem. The advantages of the proposed scheme, which not only considers the EE but also meets the data rate requirements of the users, are revealed by performing extensive simulations

Fairness aware resource allocation for downlink MISO-OFDMA systems

IEEE Wireless Communications and Networking Conference, WCNC 2012; Paris; France; 1 April 2012 through 4 April 2012In this paper, a resource allocation problem for downlink multiple input-single output orthogonal frequency division multiple access (MISO-OFDMA) systems is investigated. The problem is defined as maximizing the minimum user rate with the constraints of total power and bit error rate (BER). Since it is difficult to obtain the optimal solution to this problem, a suboptimal but efficient solution is proposed based on zero forcing beamforming (ZFBF) to reduce computational complexity. The proposed algorithm is a fairness aware radio resource allocation algorithm that shares the resources equally among the users who has different distances from the Base Station (BS). The simulation results show that the proposed algorithm satisfies the fairness criterion having higher data rates compared to the existing algorithms. © 2012 IEEE

Distance based selection for user-relaying in OFDMA-based wireless networks

24th Signal Processing and Communication Application Conference, SIU 2016; Zonguldak; Turkey; 16 May 2016 through 19 May 2016Düşük kurulum maliyetine ve geniş kapsama alanına sahip kullanıcı-rölelerle geliştirilmiş dikgen frekans bölmeli çoklu erişim (DFBÇE) tabanlı kablosuz ağlar, yüksek veri hızlarına iletişime olanak sağlamaları açısından gelecek nesil iletişim sistemlerinde önemli bir yer tutmaktadır. Kullanıcı-röleli sistemlerde kullanıcı sayısına paralel olarak artan röle sayısı performansı arttırmaktadır. Tüm kullanıcıların röle olma durumu performans açısından olumlu bir durum olmasına rağmen sinyalleşme yükünü ve dolayısıyla karmaşıklığı çok arttırdığı için pratik sistemlere uygun olmayabilir. Bu nedenle, bu çalışmada performans ve sinyalleşme yükü arasındaki ödünleşimi dengelemek için kullanıcı-röle adayları belirli bir alanda uzaklığa dayalı olarak seçilmiş ve sonuçlar benzetimler yapılarak değerlendirilmiştir.OFDMA-based user-relay assisted wireless networks which have lower infrastructure cost and larger coverage areas are important technologies for the next generation communication systems since they allow to communicate at higher data rates. The performance of the system is increased with user-relaying since the number of user-relays scales with the number of mobile users. Although, it is good to assume all mobile users are the user-relay candidates, it is not suitable for the practical systems because of the rising signalling overhead and complexity. Thus, in this study, the user-relay candidates are selected in a limited area based on a distance parameter in order to balance the trade-off between the system performance and the signalling overhead and the results are evaluated by performing simulations

Resource allocation for user-relay assisted MISO-OFDMA networks

12th International Symposium on Wireless Communication Systems, ISWCS 2015; Brussels; Belgium; 25 August 2015 through 28 August 2015The next generation cellular networks request higher capacity and coverage that user-relay assisted Orthogonal Frequency Division Multiple Access (OFDMA) networks are costeffective solutions to meet these demands. These networks can be enriched with multiple antennas in order to obtain a diversity gain to combat signal fading and to achieve more capacity gain without increasing the bandwidth or transmit power. However, radio resource management (RRM) such as relay selection and resource allocation (RA) is important in such a multi-user, multirelay and multi-antenna environment to fully take advantage of multiple-input single-output (MISO)-OFDMA based user-relay assisted cellular networks. Thus, we propose a RA algorithm for these networks to reveal the benefits of the combination of userrelaying and multiple antennas technologies and compare the proposed scheme with existing schemes in terms of percentage of satisfied users and cell-edge users' data rate

Iterative EM-Based Channel Estimation for STBC-OFDM

IEEE Wireless Communications and Networking Conference, WCNC 2009; Budapest; Hungary; 5 April 2009 through 8 April 2009In this paper, an iterative EM based channel estimation algorithm is studied for STBC-OFDM systems. Compared to the time domain EM based channel estimation algorithm which needs matrix inversion, a frequency domain EM based channel estimation algorithm is proposed by estimating the channel coefficients for each subcarrier. The proposed channel estimation algorithm decreased the complexity without sacrificing the performance. The time domain and proposed frequency domain EM based channel estimation algorithms are compared in terms of bit error rate (BER), mean square error (MSE) and the number of iterations used in the EM algorithm

Channel and queue aware joint relay selection and resource allocation for MISO-OFDMA based user-relay assisted cellular networks

User-relay assisted orthogonal frequency division multiple access (OFDMA) networks are cost-effective solutions to meet the growing capacity and coverage demands of the next generation cellular networks. These networks can be used with multiple antennas technology in order to obtain a diversity gain to combat signal fading and to obtain more capacity gain without increasing the bandwidth or transmit power. Efficient relay selection and resource allocation are crucial in such a multi-user, multi-relay and multi-antenna environment to fully exploit the benefits of the combination of user-relaying and multiple antennas technology. Thus, we propose a channel and queue aware joint relay selection and resource allocation algorithm for multiple-input single-output (MISO)-OFDMA based user-relay assisted downlink cellular networks. Since, the proposed algorithm is not only channel but also queue-aware, the system resources are allocated efficiently among the users. The proposed algorithm for the MISO-OFDMA based user-relay assisted scheme is compared to existing MISO-OFDMA based non-relaying and fixed relay assisted schemes and it is also compared with the existing single-input single-output (SISO)-OFDMA based user-relay assisted scheme. Simulation results revealed that the proposed scheme outperforms the existing schemes in terms of cell-edge users’ total data rate, average backlog and average delay

Radio resource management for user-relay assisted OFDMA-based wireless networks

Orthogonal frequency division multiple access (OFDMA) based relay assisted networks are important for current and next-generation wireless networks since they have great potential to provide high data rate to users at anywhere, anytime. Towards that end, fixed relay assisted OFDMA networks are commonly utilized by the operators. However, they require supplementary costly infrastructure. User-relay assisted OFDMA-based networks are promising candidates to fulfill the demanding coverage and capacity requirements of future wireless networks in a cost efficient way. Thus, they have become popular as a complementary solution to fixed relay networks. Generic frame structure that divides the resource allocation frame into two subframes is mostly used in the literature for fixed and user-relay assisted networks in which it is assumed that a user can act as a destination and a relay simultaneously. However, it may be difficult to apply this assumption to practical systems because of the limitations of the current transceiver design. Thus, we propose a novel frame structure for user-relay assisted OFDMA-based wireless networks in order to cope with these drawbacks. The efficient radio resource management algorithms including relay selection and resource allocation are developed in order to exploit the opportunities of the proposed frame structure

Iterative channel estimation for higher order modulated STBC-OFDM systems with reduced complexity

In this paper, a frequency domain Expectation-Maximization (EM)-based channel estimation algorithm for Space Time Block Coded-Orthogonal Frequency Division Multiplexing (STBC-OFDM) systems is investigated to support higher data rate applications in wireless communications. The computational complexity of the frequency domain EM-based channel estimation is increased when higher order constellations are used because of the ascending size of the search set space. Thus, a search set reduction algorithm is proposed to decrease the complexity without sacrificing the system performance. The performance results of the proposed algorithm is obtained in terms of Bit Error Rate (BER) and Mean Square Error (MSE) for 16QAM and 64QAM modulation schemes