© The Institution of Engineering and Technology
In this study, the authors investigate the linear minimum-mean-square-error beamforming design for relay-assisted cloud radio access network (C-RAN). A standard C-RAN architecture separates baseband processing units and wireless radio units in order to save energy cost. To further enhance network coverage, several relay nodes (RNs) are also deployed. Regrading the per-antenna power constraints at both of the remote radio heads (RRHs) and the RNs in the author's work the beamforming matrices at the RRHs and RNs are ‘jointly’ optimised for the considered relay assisted C-RAN. The considered optimisation problem is a non-convex and multiple variable optimisation problem which is in general very hard to solve. In order to make the design suitable for large scale networks exploiting to the problem structure a novel two stage decomposition algorithms are proposed. Finally, a detailed mean-square-error performance comparison is given by the simulations.
References
-
-
1)
-
13. Marsch, P., Fettweis, G.P.: ‘Coordinated multi-point in mobile communications from theory to practice’ (Cambridge University Press, Cambridge, New York, 2011).
-
2)
-
12. Kim, T.M., Sun, F., Paulraj, A.: ‘Low-complexity MMSE precoding for coordinated multipoint with per-antenna power constraint’, IEEE Trans. Siganl Process. Lett., 2013, 20, (4), pp. 395–398 (doi: 10.1109/LSP.2013.2246152).
-
3)
-
13. Boyd, S., Parikh, N., Chu, E., Peleato, B.: ‘Distributed optimization and statistical learning via the alternating direction method of multipliers’, Found. Trends Mach. Learn., 2011, 3, (1), pp. 1–122 (doi: 10.1561/2200000016).
-
4)
-
A. Talebi ,
W.A. Krzymien
.
Cooperative MIMO multiple-relay system with optimised beamforming and power allocation.
IET Commun.
,
14 ,
1677 -
1686
-
5)
-
14. Sun, F., Carvalho, E.: ‘A leakage-based MMSE beamforming design for a MIMO interference channel’, IEEE Trans. Siganl Process. Lett., 2012, 19, (6), pp. 368–371 (doi: 10.1109/LSP.2012.2196040).
-
6)
-
17. Vandenberghe, L., Boyd, S.: ‘Semidefinite programming’, Soc. Ind. Appl. Math., 1996, 38, (1), pp. 49–95.
-
7)
-
10. Conejo, A.J., Castillo, E., Mínguez, R., García-Bertrand, R.: ‘Decomposition techniques in mathematical programming’ (Springer-Verlag Berlin Heidelberg, 2006).
-
8)
-
16. Lancaster, P., Tismenetsky, M.: ‘The theory of matrices with applications’ (Academic Press, New York, 1985).
-
9)
-
J. Liu ,
N.B. Shroff ,
H.D. Sherali
.
Optimal power allocation in multi-relay MIMO cooperative networks: theory and algorithms.
IEEE J. Sel. Areas Commun.
,
2 ,
331 -
340
-
10)
-
18. Boyd, S., Vandenberghe, L.: ‘Convex optimization’ (Cambridge University Press, New York, 2004).
-
11)
-
15. Hegde, C., Sankaranarayanan, A.C., Yin, W., Baraniuk, R.G.: ‘A convex approach for learning near-isometric linear embeddings’, J. Mach. Learn. Res., accepted 2012.
-
12)
-
8. Lu, E., Li, J., Lu, I.-T.: ‘Novel MMSE design for joint MIMO processing in analog Network Coding schemes’. Signal Processing and Communication Systems Conf. (ICSPCS), Gold Coast, QLD, December 2010, pp. 1–7.
-
13)
-
V. Havary-Nassab ,
S. Shahbazpanahi ,
A. Grami
.
Optimal distributed beamforming for two-way relay networks.
IEEE Trans. Signal Process.
,
3 ,
1238 -
1250
-
14)
-
3. Ma, S., Xing, C., Fan, Y., Wu, Y.-C., Ng, T.-S., Poor, H.V.: ‘Iterative transceiver design for MIMO AF relay networks with multiple sources’. 2010 Military Commun. Conf., San Jose, CA, November 2010, pp. 369–374.
-
15)
-
16)
-
17. Bogale, T., Vandendorpe, L., Chalise, B.: ‘Robust transceiver optimization for downlink coordinated base station systems: distributed algorithm’, IEEE Trans. Signal Process., 2012, 60, (1), pp. 337–350 (doi: 10.1109/TSP.2011.2170167).
-
17)
-
2. Madden, J.: ‘Cloud RAN or small cells?’, .
-
18)
-
9. Dong, M., Liang, B., Xiao, Q.: ‘Unicast multi-antenna relay beamforming with per-antenna power control: optimization and duality’, IEEE Trans. Siganl Process., 2013, 61, (23), pp. 6076–6090 (doi: 10.1109/TSP.2013.2281778).
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-com.2013.0905
Related content
content/journals/10.1049/iet-com.2013.0905
pub_keyword,iet_inspecKeyword,pub_concept
6
6