Sparse Beamforming for Real-time Energy Trading in CoMP-SWIPT Networks

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

8 Citations (Scopus)
241 Downloads (Pure)


In this paper, we propose a coordinated base-station
energy management (CoBEM) technique in which the BSs in
a coordinated multipoint (CoMP) with rate-limited backhaul
links collaborate to keep the demand and supply balanced using
local renewable energies. We formulate two sparse beamforming
techniques as `L0-norm optimisation problems and apply a
method that can replace `L0-norm with `L1-norm and iteratively
updated the weight factors to obtain a sufficient sparsity solution
called reweighted `L1-norm minimisation. For user-centric clustering
technique, each user terminal selects a cluster of BSs, whereas,
for BS-centric clustering technique, the BSs with a shortage of
power budget are authorised to select an optimal number of
user terminals based on their available energy budget. In both
techniques, we investigate the optimal tradeoff between the BSreceiver
cooperation links, the overall energy consumption by
the BSs and the energy purchased by the retailer from the realtime
market, whilst accounting for the quality-of-service (QoS)
requirements for simultaneous wireless information and power
transfer (SWIPT). Extensive simulation results confirm that the
proposed sparse beamforming techniques significantly improve
the infeasibility of a full cooperation in CoMP-SWIPT networks
and reveal that the BS-centric clustering is more profitable than
the user-centric clustering in real-time energy balancing.
Original languageEnglish
Title of host publicationIEEE International Conference on Communications (IEEE ICC 2016)
Publication statusPublished - 14 Jul 2016


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