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Erschienen in: Annals of Telecommunications 11-12/2014

01.12.2014

Ergodic and outage capacity maximization of cognitive radio networks in cooperative relay environment using optimal power allocation

verfasst von: Vidhyacharan Bhaskar, Barnali Dutta

Erschienen in: Annals of Telecommunications | Ausgabe 11-12/2014

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Abstract

Cognitive radio solves the problem of scarcity of radio spectrum to a great extent in that it allows unlicensed users to coexist with licensed users. It allows effective utilization of radio spectrum by offering radio cells the ability of radio sensing and dynamic spectrum sharing. The throughput of spectrum sharing cognitive radio can be maximized by performing data transmission and spectrum sensing at the same time. Cooperative communications and networking allow distributed terminals in a wireless network. The main problem with cognitive radio is to sense the presence of primary users over a wide range of spectrum. Cooperative spectrum sensing is used here to detect those users more reliably. It is investigated whether cooperative communication for spectrum in cognitive radio enhances the efficiency of spectrum sharing. The maximum power that can be adapted by the secondary user without causing significant interference to a primary user is investigated. An algorithm is proposed for the same. Closed-form expression for ergodic throughput is derived for the systems and is compared with the conventional cognitive radio system. An expression for the outage capacity of the system is also derived for average transmit and interference power constraints under truncated channel information with fixed rate technique.

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Literatur
1.
Zurück zum Zitat MacKenzie AB, Reed JH (2009) Cognitive radio and networking research at Virginia Tech. Proceedings of the IEEE 97(4):660–668CrossRef MacKenzie AB, Reed JH (2009) Cognitive radio and networking research at Virginia Tech. Proceedings of the IEEE 97(4):660–668CrossRef
2.
Zurück zum Zitat Mitola J, Maguire GQ Jr (1999) Cognitive radios: making software radio more personal. IEEE Personal Communications 6(4):13–18CrossRef Mitola J, Maguire GQ Jr (1999) Cognitive radios: making software radio more personal. IEEE Personal Communications 6(4):13–18CrossRef
3.
Zurück zum Zitat Zhongyu H, Tao S (2008) “Adaptive CRN spectrum sensing scheme with excellence in topology and scan scheduling,”. International Conference on Sensing Technology, Tainan, Taiwan, pp 384–391 Zhongyu H, Tao S (2008) “Adaptive CRN spectrum sensing scheme with excellence in topology and scan scheduling,”. International Conference on Sensing Technology, Tainan, Taiwan, pp 384–391
4.
Zurück zum Zitat Dixit S, Periyalwar S, Yanikomeroglu H (2009) A distributed framework with a novel pricing model for enabling dynamic spectrum access for secondary users. IEEE Vehicular Technology Conference, Anchorage, AK, USA Dixit S, Periyalwar S, Yanikomeroglu H (2009) A distributed framework with a novel pricing model for enabling dynamic spectrum access for secondary users. IEEE Vehicular Technology Conference, Anchorage, AK, USA
5.
Zurück zum Zitat S. Geirhofer, L. Tong, and B. Sadler, “Dynamic Spectrum access in the time domain: modeling and exploiting white space”, IEEE Communications Magazine, vol. 45, no. 5, pp. 66, May 2007. S. Geirhofer, L. Tong, and B. Sadler, “Dynamic Spectrum access in the time domain: modeling and exploiting white space”, IEEE Communications Magazine, vol. 45, no. 5, pp. 66, May 2007.
6.
Zurück zum Zitat Krishna R, Cumanan K, Xiong Z, Lambotharan S (2010) A novel cooperative relaying strategy for wireless networks with signal quantization. IEEE Transactions on Vehicular Technology 89(1):485–489CrossRef Krishna R, Cumanan K, Xiong Z, Lambotharan S (2010) A novel cooperative relaying strategy for wireless networks with signal quantization. IEEE Transactions on Vehicular Technology 89(1):485–489CrossRef
7.
Zurück zum Zitat Zhao Q, Swami A (2007) A decision-theoretic framework for opportunistic spectrum access. IEEE Transactions on Wireless Communications 14(4):14–20CrossRef Zhao Q, Swami A (2007) A decision-theoretic framework for opportunistic spectrum access. IEEE Transactions on Wireless Communications 14(4):14–20CrossRef
8.
Zurück zum Zitat Ghasemi A, Sousa ES (2007) Fundamental limits of spectrum sharing in fading environments. IEEE Transactions on Wireless Communications 6(2):649–658CrossRef Ghasemi A, Sousa ES (2007) Fundamental limits of spectrum sharing in fading environments. IEEE Transactions on Wireless Communications 6(2):649–658CrossRef
9.
Zurück zum Zitat Gastpar M (2007) On capacity under receive and spatial spectrum-sharing constraints. IEEE Transactions on Information Theory 53(2):471–487CrossRefMathSciNet Gastpar M (2007) On capacity under receive and spatial spectrum-sharing constraints. IEEE Transactions on Information Theory 53(2):471–487CrossRefMathSciNet
10.
Zurück zum Zitat Musavian L, Aïssa S (2007) Ergodic and outage capacities of spectrum sharing systems in fading channels. Proceedings of IEEE GLOBECOM, Washington DC, USA, pp 3327–3331 Musavian L, Aïssa S (2007) Ergodic and outage capacities of spectrum sharing systems in fading channels. Proceedings of IEEE GLOBECOM, Washington DC, USA, pp 3327–3331
11.
Zurück zum Zitat Haykin S (2005) Cognitive radio: brain-empowered wireless communications. IEEE Journal on Selected areas in Communications 23(2):201–220CrossRef Haykin S (2005) Cognitive radio: brain-empowered wireless communications. IEEE Journal on Selected areas in Communications 23(2):201–220CrossRef
12.
Zurück zum Zitat Stotas S, Nallanathan A (2011) Enhancing the capacity of spectrum sharing cognitive radio networks. IEEE Transactions on Vehicular Technology 60(8):3768–3779CrossRef Stotas S, Nallanathan A (2011) Enhancing the capacity of spectrum sharing cognitive radio networks. IEEE Transactions on Vehicular Technology 60(8):3768–3779CrossRef
13.
Zurück zum Zitat Di H, Li W, Fusheng Z, Weiyao L (2012) An enhanced covariance spectrum sensing technique based on stochastic resonance in cognitive radio networks. IEEE International Symposium on Circuits and Systems, South Korea, Seoul, pp 818–821 Di H, Li W, Fusheng Z, Weiyao L (2012) An enhanced covariance spectrum sensing technique based on stochastic resonance in cognitive radio networks. IEEE International Symposium on Circuits and Systems, South Korea, Seoul, pp 818–821
14.
Zurück zum Zitat John G. Proakis, and M. Salehi, Digital Communications, 5th edition, McGraw-Hill, pp. 366, 2008. John G. Proakis, and M. Salehi, Digital Communications, 5th edition, McGraw-Hill, pp. 366, 2008.
15.
Zurück zum Zitat Shiung D, Chen KC (2009) On the optimal power allocation of a cognitive radio network. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Tokyo, Japan, pp 1241–1245 Shiung D, Chen KC (2009) On the optimal power allocation of a cognitive radio network. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Tokyo, Japan, pp 1241–1245
16.
Zurück zum Zitat Lim TJ, Zhang R, Liang YC, Zeng Y (2008) GLRT-based spectrum sensing for cognitive radio. IEEE Global Telecommunications Conference, New Orleans, LA, USA Lim TJ, Zhang R, Liang YC, Zeng Y (2008) GLRT-based spectrum sensing for cognitive radio. IEEE Global Telecommunications Conference, New Orleans, LA, USA
17.
Zurück zum Zitat Dev K, Tewari R, Dixit M, Dutta J (2007) Finding trade-off solutions close to KKT points using evolutionary multi-objective optimization. IEEE Conference on Evolutionary Computations, Singapore Dev K, Tewari R, Dixit M, Dutta J (2007) Finding trade-off solutions close to KKT points using evolutionary multi-objective optimization. IEEE Conference on Evolutionary Computations, Singapore
18.
Zurück zum Zitat Alghamdi OA, Ahmed MZ, Abu-Rgheff MA (2010) Probabilities of detection and false alarm in multitaper based spectrum sensing for cognitive radio systems in AWGN. IEEE International Conference on Communication Systems (ICCS), Singapore, pp 579–584 Alghamdi OA, Ahmed MZ, Abu-Rgheff MA (2010) Probabilities of detection and false alarm in multitaper based spectrum sensing for cognitive radio systems in AWGN. IEEE International Conference on Communication Systems (ICCS), Singapore, pp 579–584
19.
Zurück zum Zitat Gang C, Hong-Lai L (2009) Optimal power allocation for decode and forward cooperative communication with multiple relays. IEEE Conference on Wireless Communications Networking and Mobile Computing, Las Vegas, USA Gang C, Hong-Lai L (2009) Optimal power allocation for decode and forward cooperative communication with multiple relays. IEEE Conference on Wireless Communications Networking and Mobile Computing, Las Vegas, USA
20.
Zurück zum Zitat Bhaskar V (2013) Novel closed-form expressions for ergodic capacity of rate-adaptive MIMO OSFBC-OFDM systems over various adaptation policies. Wireless Personal Communications. doi:10.1007/s11277-013-1537-6 Bhaskar V (2013) Novel closed-form expressions for ergodic capacity of rate-adaptive MIMO OSFBC-OFDM systems over various adaptation policies. Wireless Personal Communications. doi:10.​1007/​s11277-013-1537-6
21.
Zurück zum Zitat Subhashini J, Bhaskar V (2013) Capacity analysis of Rayleigh fading channels in low SNR regime for maximal ratio combining diversity due to combining errors. IET Communications 7(8):745–754CrossRef Subhashini J, Bhaskar V (2013) Capacity analysis of Rayleigh fading channels in low SNR regime for maximal ratio combining diversity due to combining errors. IET Communications 7(8):745–754CrossRef
22.
Zurück zum Zitat Krishna SR, Bhaskar V (2012) Spectrum efficiency for rate-adaptive MIMO OSFBC-OFDM systems over various adaptation policies. International Journal of Soft Computing and Engineering (IJSE) 2(3):81–85 Krishna SR, Bhaskar V (2012) Spectrum efficiency for rate-adaptive MIMO OSFBC-OFDM systems over various adaptation policies. International Journal of Soft Computing and Engineering (IJSE) 2(3):81–85
23.
Zurück zum Zitat Verghese R, Thai Subha S, Bhaskar V (2012) Ergodic capacity analysis and asymptotic tightness for multi-element antenna array with spatial correlation and transmit water-filling. IET Communications 6(1):22–28CrossRefMATHMathSciNet Verghese R, Thai Subha S, Bhaskar V (2012) Ergodic capacity analysis and asymptotic tightness for multi-element antenna array with spatial correlation and transmit water-filling. IET Communications 6(1):22–28CrossRefMATHMathSciNet
24.
Zurück zum Zitat Goldsmith AJ, Varaiya PP (1997) Capacity of fading channels with channel-side information. IEEE Transactions on Information Theory 43(6):1986–1992CrossRefMATHMathSciNet Goldsmith AJ, Varaiya PP (1997) Capacity of fading channels with channel-side information. IEEE Transactions on Information Theory 43(6):1986–1992CrossRefMATHMathSciNet
25.
Zurück zum Zitat Shyamala S, Bhaskar V (2011) Capacity of multiuser multiple input multiple output orthogonal frequency division multiplexing systems with doubly correlated channels for various fading distributions. IET Communications 5(9):1230–1236CrossRef Shyamala S, Bhaskar V (2011) Capacity of multiuser multiple input multiple output orthogonal frequency division multiplexing systems with doubly correlated channels for various fading distributions. IET Communications 5(9):1230–1236CrossRef
26.
Zurück zum Zitat Bhaskar V (2009) Capacity evaluation for equal gain diversity schemes over Rayleigh fading channels. International Journal of Electronics and Communications (AeUe) 63(4):235–240CrossRefMathSciNet Bhaskar V (2009) Capacity evaluation for equal gain diversity schemes over Rayleigh fading channels. International Journal of Electronics and Communications (AeUe) 63(4):235–240CrossRefMathSciNet
27.
Zurück zum Zitat Bhaskar V (2007) Spectrum efficiency evaluation for MRC diversity schemes under different adaptation policies over generalized Rayleigh fading channels. International Journal on Wireless Information Networks 14(3):191–203CrossRef Bhaskar V (2007) Spectrum efficiency evaluation for MRC diversity schemes under different adaptation policies over generalized Rayleigh fading channels. International Journal on Wireless Information Networks 14(3):191–203CrossRef
28.
Zurück zum Zitat Bhaskar V (2007) Spectrum efficiency evaluation for MRC diversity schemes over generalized Rician fading channels. International Journal on Wireless Information Networks 14(3):209–223CrossRef Bhaskar V (2007) Spectrum efficiency evaluation for MRC diversity schemes over generalized Rician fading channels. International Journal on Wireless Information Networks 14(3):209–223CrossRef
29.
Zurück zum Zitat Ejaz W, Ul Hasan N, Kim HS, Azam MA (2011) Fully distributed cooperative spectrum sensing for cognitive radio ad hoc networks. IEEE Frontiers of Information Technology 37(4):9–13 Ejaz W, Ul Hasan N, Kim HS, Azam MA (2011) Fully distributed cooperative spectrum sensing for cognitive radio ad hoc networks. IEEE Frontiers of Information Technology 37(4):9–13
30.
Zurück zum Zitat Kang X, Liang YC, Garg HK, Zhang L (2009) Sensing-based spectrum sharing in cognitive radio networks. IEEE Transactions on Vehicular Technology 58(8):4649–4654CrossRef Kang X, Liang YC, Garg HK, Zhang L (2009) Sensing-based spectrum sharing in cognitive radio networks. IEEE Transactions on Vehicular Technology 58(8):4649–4654CrossRef
31.
Zurück zum Zitat Lundén J, Koivunen V, Huttunen A, Poor HV (2007) Spectrum sensing in cognitive radios based on multiple cyclic frequencies. International Conference on Crown Castle Communications, Orlando, FL, pp 37–43 Lundén J, Koivunen V, Huttunen A, Poor HV (2007) Spectrum sensing in cognitive radios based on multiple cyclic frequencies. International Conference on Crown Castle Communications, Orlando, FL, pp 37–43
32.
Zurück zum Zitat Zeng Y, Liang YC (2009) Spectrum-sensing algorithms for cognitive radio based on statistical covariances. IEEE Transactions on Vehicular Technology 58(4):1804–1815CrossRef Zeng Y, Liang YC (2009) Spectrum-sensing algorithms for cognitive radio based on statistical covariances. IEEE Transactions on Vehicular Technology 58(4):1804–1815CrossRef
33.
Zurück zum Zitat Zhang R (2009) On peak versus average interference power constraints for protecting primary users in cognitive radio networks. IEEE Transactions on Wireless Communications 8(4):2112–2120CrossRef Zhang R (2009) On peak versus average interference power constraints for protecting primary users in cognitive radio networks. IEEE Transactions on Wireless Communications 8(4):2112–2120CrossRef
35.
Zurück zum Zitat Palomar DP, Chiang M (2006) A tutorial on decomposition methods for network utility maximization. IEEE Journals on Selected areas in Communications 24(8):1439–1451CrossRef Palomar DP, Chiang M (2006) A tutorial on decomposition methods for network utility maximization. IEEE Journals on Selected areas in Communications 24(8):1439–1451CrossRef
36.
Zurück zum Zitat Federal Communications Commission (2002) Spectrum Policy Task Force report. Federal Communications Commission, Washington DC, pp. 02–155 Federal Communications Commission (2002) Spectrum Policy Task Force report. Federal Communications Commission, Washington DC, pp. 02–155
Metadaten
Titel
Ergodic and outage capacity maximization of cognitive radio networks in cooperative relay environment using optimal power allocation
verfasst von
Vidhyacharan Bhaskar
Barnali Dutta
Publikationsdatum
01.12.2014
Verlag
Springer Paris
Erschienen in
Annals of Telecommunications / Ausgabe 11-12/2014
Print ISSN: 0003-4347
Elektronische ISSN: 1958-9395
DOI
https://doi.org/10.1007/s12243-013-0419-y

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